Postdoctoral Position
Los Alamos National Laboratory
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The Information Sciences group and the Center for Nonlinear Studies at the Los Alamos National Laboratory have an opening at a postdoctoral level. The research will involve elements of machine learning and graph theory. It will be a part of a multi-disciplinary project in high-performance simulation that is based on a dynamic graph modeling of physical processes.
Candidates are expected to have strong analytical and programming skills. The successful applicant should have a strong publication record and will be expected to publish results in high impact peer-reviewed journals and conferences. This is a long-term appointment (up to three years), so candidates who can commit to a longer time frame will be preferred. However, candidates available for shorter periods may be considered for internships.
Qualifications:
(1) A PhD in Computer Science, Computer Engineering, or Mathematics;
(2) Research-level expertise in at least one of the following: machine learning, graph theory;
(3) Strong programming skills;
(4) Demonstrated ability to publish research in peer-reviewed journals or conference proceedings in the areas of machine learning and/or graph theory;
(5) Excellent oral presentation and writing skills
(6) Willingness to work in interdisciplinary project teams and learn about other fields
US citizenship is NOT required for this position.
For full details and instructions on how to apply go to https://jobszp1.lanl.gov:443/OA_HTML/OA.jsp?OAFunc=IRC_VIS_VAC_DISPLAY&OAMC=R&p_svid=51658&p_spid=2355270&p_lang_code=US<https://jobszp1.lanl.gov/OA_HTML/OA.jsp?OAFunc=IRC_VIS_VAC_DISPLAY&OAMC=R&p_svid=51658&p_spid=2355270&p_lang_code=US>. For informal inquiries you can contact Hristo Djidjev, djidjev@lanl.gov.
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