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Postdoctoral fellow position at the Department of Physics, Tongji University, Shanghai. [Review of applications to begin June 10, 2021]
A postdoctoral fellow position is available at the Department of Physics, Tongji University, Shanghai. Applicants must have a Ph.D. in physics (or anticipate having a Ph.D. in hand by the end of 2021). The research interests of the group cover a broad range of topics. These include nuclear reactions near the neutron- and proton-drip lines with particular emphasis on halo nuclei and direct reactions. Research topics in nuclear structure include alpha decay, alpha clustering, halo nuclei, and superheavy nuclei. We attack these problems using a variety of forefront techniques including effective field theory, relativistic mean-field theory, CDCC method and Faddeev techniques. Preference will be given to expertise in nuclear reaction, but we expect the successful candidate to contribute to the efforts of the group as a whole. Thus applicants should have a strong research record and display significant initiative to complement their research skills. The appointment will initially be for one year. Renewal for up to two more years is highly probable, but is contingent on funding and job performance.
Interested candidates should send a curriculum vitae, a description of research interests and two letters of recommendation to Jin Lei (jinl@tongji.edu.cn).
Questions about the position should be addressed to Dr. Jin Lei, jinl@tongji.edu.cn. Review of applications will begin June 10, 2021.
Nuclear Structure and Reaction Theory - Postdoctoral Researcher at LLNL
We have an opening for a Postdoctoral Researcher to develop and pursue innovative research at the intersection of nuclear structure and reaction theory. You will implement the integration of state-of-the-art structure descriptions of stable and exotic nuclei into the derivation of neutron-nucleus optical potentials, to be used in the description of deuteron-induced reactions. This position is in the Nuclear Data and Theory group of the Nuclear and Chemical Sciences Division.
Interested candidates should apply by submitting an application to the LLNL Careers web site under the Reference #: REF553O (direct link: https://www.llnl.gov/join-our-team/careers/find-your-job/8197899c-8f04-4c2a-a3eb-b3bfe99148bf/all/3743990000027229)
A complete application consists of:
- a curriculum vitae together with a brief research statement (in a single PDF file uploaded to the LLNL web site),
- contact information for three references.
Review of applications will begin immediately and will conclude when the position is filled.
For questions or further information about the position, please contact Gregory Potel Aguilar at potelaguilar1@llnl.gov.
PhD fellowship in Bayesian Machine Learning for Nuclear Physics [Starting date no later than October 1, 2021]
A position as PhD Research Fellow in Bayesian Machine Learning for Nuclear Physics is available at the Department of Physics, University of Oslo. The PhD position is a part of the machine learning program at dScience - Center for Computational and Data Science at the University of Oslo, see https://www.uio.no/dscience/ and https://www.jobbnorge.no/en/available-jobs/job/202788/phd-research-fellowship-in-bayesian-machine-learning-for-nuclear-astrophysics for full announcement.
The PhD position will be for a period of three (3) years. If the candidate has the necessary qualifications and based on the teaching need of the Department, the candidate can apply for an additional 25% teaching duty resulting in a total length of four (4) years.
