Difference between revisions of "Employment opportunities, postdoctoral positions, summer jobs"
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| − | * See also the [http://linguistlist.org/jobs | + | * See also the [http://linguistlist.org/jobs Linguist Job List]. |
* Archived postings: | * Archived postings: | ||
| − | ** [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]] | + | ** [[Employment opportunities posted 2015|2015]] - [[Employment opportunities posted 2014|2014]] - [[Employment opportunities posted 2013|2013]] - [[Employment opportunities posted 2012|2012]] - [[Employment opportunities posted 2011|2011]] - [[Employment opportunities posted 2010|2010]] - [[Employment opportunities posted 2009|2009]] - [[Employment opportunities posted 2008|2008]] - [[Employment opportunities posted 2007|2007]] |
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| + | ==Research Scientist at the Allen Institute for Artificial Intelligence== | ||
| − | + | * Employer: Allen Institute for Artificial Intelligence (AI2) | |
| + | * Title: Research Scientist | ||
| + | * Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation | ||
| + | * Location: Seattle, WA | ||
| + | * Deadline: N/A, we are hiring throughout 2016 | ||
| + | * Date posted: 02/09/2016 | ||
| + | * Contact information: ai2-info@allenai.org | ||
| + | * Website: http://allenai.org/jobs.html | ||
| − | + | '''Job Description''' | |
| − | + | ||
| − | + | The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities. | |
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| − | '''Position | + | '''Position Summary''' |
| − | + | AI2 currently has projects in the following areas: | |
| − | + | * Language and Vision | |
| + | * Information extraction and semantic parsing | ||
| + | * Question answering | ||
| + | * Language and reasoning | ||
| + | * Machine learning and theory formation | ||
| + | * Semantic search | ||
| + | * Natural language processing | ||
| + | * Diagram understanding | ||
| + | * Visual knowledge extraction and visual reasoning | ||
| − | + | And more…. | |
| − | + | AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations. | |
| − | ''' | + | '''Applicant''' |
| − | + | Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research. | |
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| − | ''' | + | '''Why AI2''' |
| − | + | In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are: | |
| − | + | * We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us; | |
| + | * We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you; | ||
| + | * We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave; | ||
| + | * We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures; | ||
| + | * We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door; | ||
| + | * We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do! | ||
| − | + | '''Application Process''' | |
| + | Visit our website for more information: http://allenai.org/jobs.html | ||
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| − | + | ==Software Engineer - Machine Learning / NLP (Chinese) at SYSTRAN== | |
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| − | + | * Employer: SYSTRAN | |
| + | * Title: Software Engineer | ||
| + | * Topics: Machine Learning, Natural Language Processing, Machine Translation | ||
| + | * Location: San Diego | ||
| + | * Deadline: Open until filled | ||
| + | * Date Posted: January 29, 2016 | ||
| + | * Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na | ||
| − | + | SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems. | |
| − | + | The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable. | |
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| − | + | Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language. | |
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| − | ''' | + | '''Key Qualifications''' |
| + | * Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology | ||
| + | * Good algorithmic knowledge of machine learning | ||
| + | * Experience writing and debugging software | ||
| + | * Strong communications skills | ||
| + | * Ability to work well as part of a team | ||
| + | * Fluent in English. | ||
| + | * Fluent in Chinese is a plus | ||
| − | + | '''Education and Experience''' | |
| + | * MS or Ph D in Computational Linguistics / Computer Science or relevant field. | ||
| + | * 2+ years work experience preferred | ||
| − | + | '''Benefits''' | |
| + | * Successful candidates will be offered a competitive salary based on their qualifications and experience. | ||
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| − | + | ==Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee== | |
| − | + | * Employer: University of Dundee | |
| + | * Title: Lecturer/Senior Lecturer/Reader | ||
| + | * Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence | ||
| + | * Location: Dundee, UK | ||
| + | * Deadline: 27 February 2016 | ||
| + | * Date Posted: 12 January 2016 | ||
| + | * Contact: Prof. Chris Reed (see http://arg.tech/lecturer) | ||
| − | + | £34,576 to £55,389 Full Time, Permanent | |
| − | + | The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success. | |
| − | For | + | For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow. |
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| + | '''Summary of Job Purpose and Principal Duties''' | ||
| − | + | The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each | |
| + | group can be found in the Further Particulars. | ||
| − | + | The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal | |
| − | + | Fellowships. | |
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| − | + | Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level. | |
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| − | ''' | + | '''Job Summary''' |
| − | + | The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to: | |
| + | * Contribute to the ongoing research in one of the three research groups described above. | ||
| + | * Contribute to the generation of external research funding. | ||
| + | * Publish in high quality research journals and major international conferences. | ||
| + | * Teach at undergraduate and post-graduate level. | ||
| + | * Supervise students at all levels (honours and MSc projects, PhD). | ||
| + | * Undertake administrative duties. | ||
| − | ''' | + | '''Application Requirements''' |
| − | + | In addition to the online form, applicants must include with their application: | |
| − | + | * Cover letter outlining fit to role. | |
| + | * Research plan (1-2 pages) covering proposed research over the first three years of the appointment. | ||
| + | * Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology. | ||
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| − | + | ==Postdoctoral Fellow in Computational Models of Reasoning / Intelligence Systems Section at AI Center / US Naval Research Laboratory== | |
| + | * Employer: US Naval Research Laboratory | ||
| + | * Title: Postdoctoral Research Fellow | ||
| + | * Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence | ||
| + | * Location: Washington, DC | ||
| + | * Deadline: Open until filled | ||
| + | * Date Posted: January 20, 2016 | ||
| + | * Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil) | ||
| − | The | + | '''Research focus''': The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations. |
| − | + | '''Supervisor''': Sunny Khemlani, PhD | |
| − | + | '''Key qualifications''': A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus. | |
| − | + | '''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance. | |
| − | ''' | + | '''Program and compensation''': The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year. |
| − | To apply | + | '''To apply''': Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil. |
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| − | + | ==Internship positions available at Juji, Inc.== | |
| + | * Employer: Juji, Inc. | ||
| + | * Title: Intern | ||
| + | * Location: Saratoga, CA | ||
| + | * Deadline: open until all the positions are filled | ||
| + | * Date Posted: January 14, 2016 | ||
| − | + | '''Description''': | |
| + | Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs. | ||
| − | + | We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science. | |
| − | + | We have multiple positions on two main tracks: | |
| + | * Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort. | ||
| − | + | * Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications. | |
| − | + | '''Qualifications''' | |
| − | + | Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus. | |
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| − | ''' | + | '''To apply''': Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body. |
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| − | + | ==Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School== | |
| + | * Employer: Brigham and Women's Hospital / Harvard Medical School | ||
| + | * Title: Postdoctoral Research Fellow | ||
| + | * Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling | ||
| + | * Location: Boston, MA | ||
| + | * Deadline: Open until filled | ||
| + | * Date Posted: January 8, 2016 | ||
| + | * Contact: Alexander Turchin (aturchin@bwh.harvard.edu) | ||
| − | + | '''Research focus''': the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams. | |
| − | + | '''Supervisor''': Alexander Turchin, MD, MS, FACMI | |
| − | ''' | + | '''Required skills''': experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus. |
| − | + | '''Education''': PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree. | |
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| − | ''' | + | '''Length of appointment''': This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding. |
| − | + | '''Available''': Immediately. | |
| − | + | '''Compensation''': according to NIH (NRSA) stipend levels. | |
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| + | '''To apply''': send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu. | ||
| − | == | + | ==Internship positions available in Natural Language Processing at Adobe Research== |
| + | * Employer: Adobe Systems Incorporated | ||
| + | * Title: NLP Scientist Intern | ||
| + | * Natural Language Processing, Machine Learning, Question Answering and Dialog Systems. | ||
| + | * Location: San Jose, CA | ||
| + | * Deadline: open until all the positions are filled | ||
| + | * Date Posted: December 23, 2015 | ||
| + | * Trung Bui: bui@adobe.com | ||
| − | + | '''Description''': | |
| − | + | We are looking for several NLP scientist interns who will work on semantic understanding, question answering and dialog systems to improve Adobe digital media and digital marketing products. | |
| − | + | The internship will be at the Medial Intelligence Lab under the Imagination Lab at Adobe Research (http://www.adobe.com/technology.html) located in San Jose, California. It is 13 weeks long and can start any time from March 1, 2016. | |
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| − | ''' | + | '''Key Qualifications''' |
| + | *Experience with semantic parsing, question answering and dialog systems. | ||
| + | *Experience with machine learning, deep learning. | ||
| + | *Good programming skills in Java/C++ and/or Python | ||
| − | + | '''Education''' | |
| + | M.S. or PhD student in Computer Science or related field | ||
| − | ''' | + | '''Additional Requirements''' |
| + | No. | ||
| − | + | == Associate Research Scientist at UKP Lab, TU Darmstadt == | |
| + | * Employer: [https://www.ukp.tu-darmstadt.de/ UKP Lab], Department of Computer Science, Technische Universität Darmstadt | ||
| + | * Title: Associate Research Scientist | ||
| + | * Speciality: Natural Language Processing | ||
| + | * Location: Darmstadt, Germany | ||
| + | * Deadline: January 15, 2016 | ||
| + | * Date posted: December 23, 2015 | ||
| + | * Contact: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] | ||
| − | + | The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an '''Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two years)''' to strengthen the group's profile in the area of Computational Argumentation. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Computational Argumentation is one of the rapidly developing focus areas in collaboration with industrial partners. | |
| − | + | We ask for applications from candidates in Computer Science, Information Systems, Business Information Technology, or Computational Linguistics, preferably with expertise in research and development projects, and strong communication skills in English and German. The successful applicant will work in projects including research activities in the area of computational argumentation (e.g. automatic evidence detection, decision support, large-scale web mining on heterogeneous source and data management), and development activities to create new products or industrial product prototypes. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP) systems in Java and experience in information retrieval, large-scale data processing and machine learning. In particular, experience with deep-learning is a strong plus. Combining fundamental NLP research on Computational Argumentation with industrial applications from different application domains will be highly encouraged. | |
| − | The | + | UKP's wide cooperation network both within its own research community and with partners from industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web" and the recently established Research Training Group "Adaptive Information Processing of Heterogeneous Content" (AIPHES) funded by the DFG emphasizes NLP, text mining, machine learning, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals. |
| − | + | Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available). | |
| − | + | Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: [mailto:jobs@ukp.informatik.tu-darmstadt.de jobs@ukp.informatik.tu-darmstadt.de] by 15 January 2016. The position is open until filled. Later applications may be considered if the position is still open. | |
| − | + | == Postdoctoral Researcher position in NLP/Computational Social Science at UPenn == | |
| + | * Employer: Computer & Information Science, University of Pennsylvania, USA | ||
| + | * Title: Postdoctoral Researcher | ||
| + | * Speciality: Natural Language Processing, Computational Social Science | ||
| + | * Location: Philadelphia, USA | ||
| + | * Deadline: January 15, 2016 | ||
| + | * Date posted: December 21, 2015 | ||
| + | * Contact: applications@wwbp.org | ||
| − | + | We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression. | |
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| − | + | The ideal candidate will have research experience in computational linguistics and applied machine learning. She or he will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwbp.org for example publications. | |
| − | * | + | * Application Deadline: January 15, 2015 |
| − | + | * Approximate Start Date: March 1, 2016 (but flexible) | |
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| − | + | How to Apply: Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line. | |
| − | + | The University of Pennsylvania is an EOE/Affirmative Action Employer. Position contingent on funding. | |
| − | + | Primary Contact: Professor Lyle Ungar, ungar@cis.upenn.edu | |
| − | == | + | == Multiple positions as Full-time researcher, Post-doc researcher, Software Engineer and Summer Intern in IBM Research - Almaden, San Jose == |
| + | * Employer: IBM Research - Almaden | ||
| + | * Title: Researcher, Software Engineer, Post-doc, Summer Intern | ||
| + | * Speciality: natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management | ||
| + | * Location: San Jose, CA | ||
| + | * Deadline: (until filled) | ||
| + | * Date posted: December 18, 2015 | ||
| + | * Contact: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com) | ||
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| − | + | IBM Research - Almaden is looking for researchers to join the Natural Language Processing, Entity Resolution and Discovery Department. Our research focuses around creating a knowledge engineering platform for the creation, maintenance and consumption of “industry-specific” knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such a platform needs to support the entire lifecycle for knowledge engineering including: | |
| + | * creation, maintenance and evolution of ontologies to capture domain concepts of interest | ||
| + | * scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources such as text analytics, entity resolution and integration, cleansing, data transformations and machine learning; supporting domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages | ||
| + | * scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process | ||
| + | * techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries | ||
| + | * easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces | ||
| + | * incorporating crowd sourcing and continuous evolution of the system through learning from user interactions. | ||
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| + | The research builds upon and extends successful projects from our group, which have resulted in academic, industrial and open source impact: | ||
| + | * SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264 | ||
| + | * Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171 | ||
| + | * SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174 | ||
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| − | + | The research is being conducted in close collaboration with the IBM Watson Solutions division and multiple global IBM Research labs (India, Haifa and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains). | |
| − | + | We are currently looking for researchers (Research Staff Members, software engineers, post-doc researchers and summer interns) with interest & experience in one or more areas relevant to the knowledge engineering life cycle such as natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management, as described above. | |
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| − | + | Please send your resumes to: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com) | |
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| − | + | == Two Postdoc Opportunities at the US Army Research Lab in the Washington, DC Metro Area == | |
| + | * Employer: US Army Research Laboratory | ||
| + | * Title: Postdoctoral Fellow | ||
| + | * Speciality: Knowledge Representation, Knowledge Bases, Common-Sense Reasoning, Planning | ||
| + | * Location: Adelphi, MD | ||
| + | * Deadline: (until filled) | ||
| + | * Date posted: November 30, 2015 | ||
| + | * Contact: douglas.a.summers-stay.civ@mail.mil and/or ethan.a.stump2.civ@mail.mil | ||
| − | + | The US Army Research Laboratory currently has two postdoc opportunities: | |
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| − | + | '''Position #1''' | |
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| − | + | The US Army Research Laboratory (ARL) is researching common-sense reasoning and natural language understanding for the purpose of creating a communication dialogue to promote increased intent understanding within Human-Robot teams. In support of this effort, ARL is looking for an individual with a PhD or equivalent, with interest and a background in knowledge representation, knowledge bases, knowledge graphs, common-sense reasoning, or spatial reasoning. We plan to make use of semantic vector spaces to enhance the capabilities of the reasoning system, so some familiarity with knowledge graph embedding, distributional semantic vector spaces (such as GloVe or word2vec), or learning from massive text corpora would also be beneficial. | |
| − | + | The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD. | |
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | + | To learn more about the position, or to apply, please send questions or a CV to Dr. Douglas Summers-Stay via email at douglas.a.summers-stay.civ@mail.mil. | |
| + | |||
| + | |||
| + | '''Position #2''' | ||
| + | |||
| + | The US Army Research Laboratory (ARL) is seeking a Postdoctoral Researcher to bridge the gap between humans and autonomous systems by developing a controlled language to reason and communicate about human intent as it applies to commands a robot receives. In robotics, practitioners often program autonomous systems by developing monolithic behaviors that, when correctly parameterized, will cause the system to act as desired. However, setting these parameters is often more art than science, and we cannot expect an average user to effectively task the system unless they have only the simplest tasks in mind. ARL desires a controlled language that both concisely describes the capabilities of autonomous systems, as well as enables common-sense reasoning and representation of implicit goals that will let the system fill instructional gaps from novice users. | ||
| + | |||
| + | In this position, the Researcher will work on a cross-disciplinary team comprised of researchers in computational linguistics, computer vision, machine learning, and experimental robotics to develop a system for interacting with humans—the goal being to develop and evolve complex plans carried out by autonomous systems. The primary responsibilities of the Researcher will be learning how we can use language to link the domains of intent reasoning and action, and developing such a language to enable experiments with humans and robot teams operating in dynamic environments. | ||
| + | |||
| + | The candidate must have a PhD or equivalent degree, and should have an interest and background in formal methods, knowledge representation and reasoning, computational linguistics, control policies, or AI planning. | ||
| + | |||
| + | The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD. | ||
| + | |||
| + | To learn more about the position, or to apply, please send questions or a CV to Dr. Ethan Stump via email at ethan.a.stump2.civ@mail.mil. | ||
Revision as of 17:52, 9 February 2016
- Instructions for Posting Job Ads
- See also the Linguist Job List.
- Archived postings:
Research Scientist at the Allen Institute for Artificial Intelligence
- Employer: Allen Institute for Artificial Intelligence (AI2)
- Title: Research Scientist
- Specialties (one or more): Natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, question answering and explanation
- Location: Seattle, WA
- Deadline: N/A, we are hiring throughout 2016
- Date posted: 02/09/2016
- Contact information: ai2-info@allenai.org
- Website: http://allenai.org/jobs.html
Job Description
The Allen Institute for Artificial Intelligence (AI2) is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of (AI2) is to contribute to humanity through high-impact AI research and engineering. We are actively seeking Research Scientists at all levels who are passionate about AI and who can help us achieve this core mission by teaming to construct AI systems with reasoning, learning and reading capabilities.
Position Summary
AI2 currently has projects in the following areas:
- Language and Vision
- Information extraction and semantic parsing
- Question answering
- Language and reasoning
- Machine learning and theory formation
- Semantic search
- Natural language processing
- Diagram understanding
- Visual knowledge extraction and visual reasoning
And more….
AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.
Applicant
Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.
Why AI2
In addition to AI2’s core mission of being a leader in the field of AI research, we also aim to create a superb team environment and to invest in each team member’s personal development. Some highlights are:
- We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is a place where you will have opportunities to continue learning right alongside us;
- We value diversity of thought – we seek Research Scientists who can bring novel experiences and modes of problem solving to our leading-edge mission. If you are creative and efficient in your approach and insightful in your questioning, AI2 could be a great environment for you;
- We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave;
- We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures;
- We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, we have the defending Super Bowl champions, and we have so much else. We even have kayaks for you to paddle right outside our front door;
- We are friendly – chances are you will like every one of the 30+ (and growing!) people who work here. We do!
Application Process
Visit our website for more information: http://allenai.org/jobs.html
Software Engineer - Machine Learning / NLP (Chinese) at SYSTRAN
- Employer: SYSTRAN
- Title: Software Engineer
- Topics: Machine Learning, Natural Language Processing, Machine Translation
- Location: San Diego
- Deadline: Open until filled
- Date Posted: January 29, 2016
- Contact: Apply directly at https://recruit.systrangroup.com/recruit/Portal.na
SYSTRAN is currently seeking an experienced Software Engineer specializing in Machine Learning / NLP to join our R&D team in San Diego to develop machine translation systems.
The ideal candidate must have a combination of research and implementation skills, including significant programming experience. Hands-on experience with machine learning, including deep neural network, text classification, statistical techniques for NLP or a related field, is highly desirable.
Responsibilities include software development, experimentation, analysis of results, and building systems that combine linguistics and statistical language models for machine translation centering on Chinese language.
Key Qualifications
- Knowledge of natural language processing field, including but not limited to, formal grammar, syntactic parsing and morphology
- Good algorithmic knowledge of machine learning
- Experience writing and debugging software
- Strong communications skills
- Ability to work well as part of a team
- Fluent in English.
- Fluent in Chinese is a plus
Education and Experience
- MS or Ph D in Computational Linguistics / Computer Science or relevant field.
- 2+ years work experience preferred
Benefits
- Successful candidates will be offered a competitive salary based on their qualifications and experience.
Vacancy for Lecturer/Senior Lecturer/Reader at University of Dundee
- Employer: University of Dundee
- Title: Lecturer/Senior Lecturer/Reader
- Topics: Computational Linguistics, Language, Argumentation, Artificial Intelligence
- Location: Dundee, UK
- Deadline: 27 February 2016
- Date Posted: 12 January 2016
- Contact: Prof. Chris Reed (see http://arg.tech/lecturer)
£34,576 to £55,389 Full Time, Permanent
The University of Dundee’s School of Science & Engineering is advertising several permanent posts including one covering the Centre for Argument Technology. We are particularly keen to receive applications from candidates in Computational Linguistics to expand the group’s research in Argument Mining (see http://argmining2016.arg.tech and http://arg.tech/am), but welcome applications in all areas of the overlap between argumentation and artificial intelligence. A strong publication profile is essential, and for more senior appointments, so is a track record of funding success.
For further information about the Centre for Argument Technology, please see http://arg.tech or contact Prof. Chris Reed; for more information about the position, see http://arg.tech/lecturer. General details follow.
Summary of Job Purpose and Principal Duties
The University of Dundee is seeking an exceptional candidate to join one of our Computing research groups, based within the School of Science and Engineering. The successful candidate will develop new research lines within either the (i) Human Centred Computing Group; (ii) the Centre for Argument Technology; or (iii) the Space Technology Centre. Full information on the current research in each group can be found in the Further Particulars.
The successful candidate is expected to have a strong track record of research and a clear research plan that articulates with (or expands significantly) one of these areas. They will be expected to contribute to the development of research in this area by publishing in the highest quality journals and attracting appropriate research funding. For appointments at Grade 8 and 9, candidates are expected to show evidence of having attracted independent funding. The School encourages applications from holders of personal Fellowships.
Additionally, the successful candidate will be expected to take an active role in the teaching of undergraduate computing programmes as well as supporting teaching at Masters level.
Job Summary
The appointee will be expected to contribute to research in Computing and to teaching and administration within the School of Science and Engineering. They will be expected to:
- Contribute to the ongoing research in one of the three research groups described above.
- Contribute to the generation of external research funding.
- Publish in high quality research journals and major international conferences.
- Teach at undergraduate and post-graduate level.
- Supervise students at all levels (honours and MSc projects, PhD).
- Undertake administrative duties.
Application Requirements
In addition to the online form, applicants must include with their application:
- Cover letter outlining fit to role.
- Research plan (1-2 pages) covering proposed research over the first three years of the appointment.
- Teaching plan (1-2 pages) outlining fit to current teaching at Dundee and teaching methodology.
- Employer: US Naval Research Laboratory
- Title: Postdoctoral Research Fellow
- Topics: Reasoning, Computational Modeling, Language, Artificial Intelligence
- Location: Washington, DC
- Deadline: Open until filled
- Date Posted: January 20, 2016
- Contact: Sunny Khemlani (sunny.khemlani@nrl.navy.mil)
Research focus: The Postdoctoral Fellow will collaborate on various projects in reasoning, including (but not limited to) building a unified computational framework of reasoning; investigating how people engage in explanatory reasoning; and testing a system that reasons about time and temporal relations.
Supervisor: Sunny Khemlani, PhD
Key qualifications: A Ph.D. in cognitive psychology, cognitive science, or computer science, with experience in higher level cognition, experimental design and data analysis, or cognitive modeling. Experience with theories of reasoning, computer programming, and cognitive modeling is a strong plus.
Length of appointment: This position is for one year with second and third year reappointment dependent on satisfactory performance.
Program and compensation: The Fellowship operates through the NRC Research Associateship Program (http://sites.nationalacademies.org/pga/rap/). Only US citizenship or green card holders are eligible for the program. Fellows are compensated through a research stipend of ~$75,000/year.
To apply: Send a cover letter and CV to Dr. Sunny Khemlani at sunny.khemlani@nrl.navy.mil.
Internship positions available at Juji, Inc.
- Employer: Juji, Inc.
- Title: Intern
- Location: Saratoga, CA
- Deadline: open until all the positions are filled
- Date Posted: January 14, 2016
Description: Have you ever watched the movie Her? Have you ever wondered or wished to have a virtual partner just like Samantha, who could tell you what you really are, whom your best partner may be, and even cheers you up? At Juji, we are building a hyper-personalized, virtual REP (Responsible, Empathetic Pal) for everyone. Your REP not only understands who you are, including your personality, motivations, and strengths, but it can also chat with you to learn and help fulfill your certain needs.
We are seeking highly motivated and talented students, who are eager to help us tackle great technical challenges at Juji and to expand their knowledge and skills in the real world. We are especially interested in students who have had worked or love to work in the following areas: Artificial Intelligence, Natural Language Processing/Natural Language Generation, Machine Learning, Human-Computer Interaction, Information Visualization/Visual Analytics, and Cognitive Science.
We have multiple positions on two main tracks:
- Software development. If you love to create amazing software technologies and systems for real users, this is the track for you. You are expected to own and deliver a relatively independent project that will contribute to our cutting-edge product development effort.
- Scientific research. If you love to design and conduct scientific experiments to answer a specific set of research questions, this is the track for you. You will work on a government funded research project on understanding human trust in a digital environment. You are expected to play a critical role in designing and conducting novel research studies and writing papers that lead to scientific publications.
Qualifications Outstanding current students towards a bachelor or higher degree in the area of Computer Science, Computer Engineering, or equivalent disciplines are encouraged to apply. Strong software development or visual design skills are a plus.
To apply: Please email a copy of your resume to the following address: jobs@juji-inc.com with a subject line “Summer Internship 2016”, and state your track preference in your email body.
Postdoctoral Fellow in Natural Language Processing / AI at Brigham and Women's Hospital / Harvard Medical School
- Employer: Brigham and Women's Hospital / Harvard Medical School
- Title: Postdoctoral Research Fellow
- Topics: Natural Language Processing, Artificial Intelligence, Predictive Modeling
- Location: Boston, MA
- Deadline: Open until filled
- Date Posted: January 8, 2016
- Contact: Alexander Turchin (aturchin@bwh.harvard.edu)
Research focus: the Fellow will work in a multi-disciplinary team of artificial intelligence scientists, informaticians, biostatisticians, and clinicians on projects involving development of high-dimensional predictive models in medicine. The models will be based on data from a large integrated healthcare system and will utilize a combination of artificial intelligence and natural language processing of multiple narrative document streams.
Supervisor: Alexander Turchin, MD, MS, FACMI
Required skills: experience with natural language processing; ability to design and conduct effective research studies; strong analytical, scientific writing, presentation and communication skills; strong programming and system development skills. Experience with artificial intelligence technologies, predictive modeling, Big Data and medical terminologies / ontologies is a strong plus.
Education: PhD in computer science, biomedical informatics, linguistics, or a related discipline; MD or an equivalent degree.
Length of appointment: This position is for one year with second and third year reappointment dependent on satisfactory performance and availability of funding.
Available: Immediately.
Compensation: according to NIH (NRSA) stipend levels.
To apply: send cover letter and CV to Dr. Alexander Turchin at aturchin@bwh.harvard.edu.
Internship positions available in Natural Language Processing at Adobe Research
- Employer: Adobe Systems Incorporated
- Title: NLP Scientist Intern
- Natural Language Processing, Machine Learning, Question Answering and Dialog Systems.
- Location: San Jose, CA
- Deadline: open until all the positions are filled
- Date Posted: December 23, 2015
- Trung Bui: bui@adobe.com
Description: We are looking for several NLP scientist interns who will work on semantic understanding, question answering and dialog systems to improve Adobe digital media and digital marketing products. The internship will be at the Medial Intelligence Lab under the Imagination Lab at Adobe Research (http://www.adobe.com/technology.html) located in San Jose, California. It is 13 weeks long and can start any time from March 1, 2016.
Key Qualifications
- Experience with semantic parsing, question answering and dialog systems.
- Experience with machine learning, deep learning.
- Good programming skills in Java/C++ and/or Python
Education M.S. or PhD student in Computer Science or related field
Additional Requirements No.
Associate Research Scientist at UKP Lab, TU Darmstadt
- Employer: UKP Lab, Department of Computer Science, Technische Universität Darmstadt
- Title: Associate Research Scientist
- Speciality: Natural Language Processing
- Location: Darmstadt, Germany
- Deadline: January 15, 2016
- Date posted: December 23, 2015
- Contact: jobs@ukp.informatik.tu-darmstadt.de
The Ubiquitous Knowledge Processing (UKP) Lab at the Department of Computer Science, Technische Universität (TU) Darmstadt, Germany has an opening for an Associate Research Scientist (PostDoc- or PhD-level; for an initial term of two years) to strengthen the group's profile in the area of Computational Argumentation. The UKP Lab is a research group comprising over 30 team members who work on various aspects of Natural Language Processing (NLP), of which Computational Argumentation is one of the rapidly developing focus areas in collaboration with industrial partners.
We ask for applications from candidates in Computer Science, Information Systems, Business Information Technology, or Computational Linguistics, preferably with expertise in research and development projects, and strong communication skills in English and German. The successful applicant will work in projects including research activities in the area of computational argumentation (e.g. automatic evidence detection, decision support, large-scale web mining on heterogeneous source and data management), and development activities to create new products or industrial product prototypes. Prior work in the above areas is a definite advantage. Ideally, the candidates should have demonstrable experience in designing and implementing complex (NLP) systems in Java and experience in information retrieval, large-scale data processing and machine learning. In particular, experience with deep-learning is a strong plus. Combining fundamental NLP research on Computational Argumentation with industrial applications from different application domains will be highly encouraged.
UKP's wide cooperation network both within its own research community and with partners from industry provides an excellent environment for the position to be filled. The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique research initiative "Knowledge Discovery in the Web" and the recently established Research Training Group "Adaptive Information Processing of Heterogeneous Content" (AIPHES) funded by the DFG emphasizes NLP, text mining, machine learning, as well as scalable infrastructures for the assessment and aggregation of knowledge. UKP Lab is a highly dynamic research group committed to high-quality research results, technologies of the highest industrial standards, cooperative work style and close interaction of team members working on common goals.
Applications should include a detailed CV, a motivation letter and an outline of previous working or research experience (if available).
Applications from women are particularly encouraged. All other things being equal, candidates with disabilities will be given preference. Please send the application to: jobs@ukp.informatik.tu-darmstadt.de by 15 January 2016. The position is open until filled. Later applications may be considered if the position is still open.
Postdoctoral Researcher position in NLP/Computational Social Science at UPenn
- Employer: Computer & Information Science, University of Pennsylvania, USA
- Title: Postdoctoral Researcher
- Speciality: Natural Language Processing, Computational Social Science
- Location: Philadelphia, USA
- Deadline: January 15, 2016
- Date posted: December 21, 2015
- Contact: applications@wwbp.org
We invite applicants for a postdoctoral research position in natural language processing for health and social science, working on an interdisciplinary research project studying subjective well-being and health outcomes. The researcher will help develop state-of-the-art methods and models to better understand people, such as predicting personality from the words they use and automatically recognizing cognitive distortions typical of people prone to depression.
The ideal candidate will have research experience in computational linguistics and applied machine learning. She or he will develop and code novel methods to leverage large datasets (i.e. billions of tweets) and use them to further our understanding of health, well-being, and the psychological states of individuals and large populations. Methods and results will be published in high impact computer science venues and, via collaboration with psychologists and medical doctors, in social science and health venues. See wwbp.org for example publications.
- Application Deadline: January 15, 2015
- Approximate Start Date: March 1, 2016 (but flexible)
How to Apply: Send a detailed CV with at least 2 references who can be contacted for letters to applications@wwbp.org. Include job-code “POSTDOC-CS” in subject line.
The University of Pennsylvania is an EOE/Affirmative Action Employer. Position contingent on funding.
Primary Contact: Professor Lyle Ungar, ungar@cis.upenn.edu
Multiple positions as Full-time researcher, Post-doc researcher, Software Engineer and Summer Intern in IBM Research - Almaden, San Jose
- Employer: IBM Research - Almaden
- Title: Researcher, Software Engineer, Post-doc, Summer Intern
- Speciality: natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management
- Location: San Jose, CA
- Deadline: (until filled)
- Date posted: December 18, 2015
- Contact: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)
IBM Research - Almaden is looking for researchers to join the Natural Language Processing, Entity Resolution and Discovery Department. Our research focuses around creating a knowledge engineering platform for the creation, maintenance and consumption of “industry-specific” knowledge bases from a large number of (un/semi)structured public, licensed and enterprise content sources. Such a platform needs to support the entire lifecycle for knowledge engineering including:
- creation, maintenance and evolution of ontologies to capture domain concepts of interest
- scalable systems, tools and methodologies to support the development of individual analytic stages involved in creating knowledge from multiple sources such as text analytics, entity resolution and integration, cleansing, data transformations and machine learning; supporting domain adaptability and easy-to-use interfaces for key user personae for the individual analytic stages
- scalable content services infrastructure that enables production-level deployment of these analytic workflows with support for continuous monitoring, introspection and recovery in the knowledge base creation process
- techniques and methods for scalable and flexible indexing and querying support over the knowledge base supporting structured and search style queries, entity queries, as well as ad-hoc and exploratory queries
- easy-to-use knowledge consumption interfaces for both human and machine consumption including support for discovery and ad-hoc NLQ driven interfaces
- incorporating crowd sourcing and continuous evolution of the system through learning from user interactions.
The research builds upon and extends successful projects from our group, which have resulted in academic, industrial and open source impact:
- SystemT: http://researcher.watson.ibm.com/researcher/view_group.php?id=1264
- Midas: http://researcher.watson.ibm.com/researcher/view_group.php?id=2171
- SystemML: http://researcher.watson.ibm.com/researcher/view_group.php?id=3174
The research is being conducted in close collaboration with the IBM Watson Solutions division and multiple global IBM Research labs (India, Haifa and Zurich), with focus around demonstrating scalable knowledge base construction in multiple industry domains (e.g., Healthcare, Financial and consumer domains).
We are currently looking for researchers (Research Staff Members, software engineers, post-doc researchers and summer interns) with interest & experience in one or more areas relevant to the knowledge engineering life cycle such as natural language processing, information integration, entity resolution, machine learning, ontologies, and large-scale data management, as described above.
Please send your resumes to: Laura Chiticariu (chiti {at} us.ibm.com) and/or Lucian Popa (lpopa {at} us.ibm.com)
Two Postdoc Opportunities at the US Army Research Lab in the Washington, DC Metro Area
- Employer: US Army Research Laboratory
- Title: Postdoctoral Fellow
- Speciality: Knowledge Representation, Knowledge Bases, Common-Sense Reasoning, Planning
- Location: Adelphi, MD
- Deadline: (until filled)
- Date posted: November 30, 2015
- Contact: douglas.a.summers-stay.civ@mail.mil and/or ethan.a.stump2.civ@mail.mil
The US Army Research Laboratory currently has two postdoc opportunities:
Position #1
The US Army Research Laboratory (ARL) is researching common-sense reasoning and natural language understanding for the purpose of creating a communication dialogue to promote increased intent understanding within Human-Robot teams. In support of this effort, ARL is looking for an individual with a PhD or equivalent, with interest and a background in knowledge representation, knowledge bases, knowledge graphs, common-sense reasoning, or spatial reasoning. We plan to make use of semantic vector spaces to enhance the capabilities of the reasoning system, so some familiarity with knowledge graph embedding, distributional semantic vector spaces (such as GloVe or word2vec), or learning from massive text corpora would also be beneficial.
The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.
To learn more about the position, or to apply, please send questions or a CV to Dr. Douglas Summers-Stay via email at douglas.a.summers-stay.civ@mail.mil.
Position #2
The US Army Research Laboratory (ARL) is seeking a Postdoctoral Researcher to bridge the gap between humans and autonomous systems by developing a controlled language to reason and communicate about human intent as it applies to commands a robot receives. In robotics, practitioners often program autonomous systems by developing monolithic behaviors that, when correctly parameterized, will cause the system to act as desired. However, setting these parameters is often more art than science, and we cannot expect an average user to effectively task the system unless they have only the simplest tasks in mind. ARL desires a controlled language that both concisely describes the capabilities of autonomous systems, as well as enables common-sense reasoning and representation of implicit goals that will let the system fill instructional gaps from novice users.
In this position, the Researcher will work on a cross-disciplinary team comprised of researchers in computational linguistics, computer vision, machine learning, and experimental robotics to develop a system for interacting with humans—the goal being to develop and evolve complex plans carried out by autonomous systems. The primary responsibilities of the Researcher will be learning how we can use language to link the domains of intent reasoning and action, and developing such a language to enable experiments with humans and robot teams operating in dynamic environments.
The candidate must have a PhD or equivalent degree, and should have an interest and background in formal methods, knowledge representation and reasoning, computational linguistics, control policies, or AI planning.
The position is available immediately with a duty location at the Adelphi Laboratory Center (ALC), Adelphi, MD.
To learn more about the position, or to apply, please send questions or a CV to Dr. Ethan Stump via email at ethan.a.stump2.civ@mail.mil.