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The Computational Physics Group at the University of Michigan has an opening for a postdoctoral researcher in data-driven computational mechanics. This position can be available as early as July 1, 2022. Research in the Computational Physics Group is focused on developing data-driven, machine learning and some artificial intelligence approaches that interact with a range of computational methods for problems in materials physics, biophysics and in engineering more broadly.

Location: Polytechnic University of Bari, Department of Mechanics Mathematics and Management (DMMM), Via Orabona 4 - 70125 Bari – Italy

Job Type: Full Time

Deadline: A few PhD positions will open soon and every year starting June 2022, deadline to be announced. The application will include CV but also a well written potential project which has to be preliminary discussed with the supervisors.

Position Description

My group in the Department of Mechanical Engineering at Shiv Nadar University has an open JRF position funded by Naval Research Board DRDO. The successful candidate may get the opportunity to enroll in the Ph.D. program starting in Monsoon 2022, subject to fulfilling the requirements.

I am looking to recruit a high motivated and independent postdoctoral researcher to study, through theoretical and computational approaches, various topics related to the topological mechanics of solids, including phononic topological insulators, odd elasticity, and non-Hermitian mechanics.  The position is available for an initial 8-month duration, with possible extension to 24 moths depending on availability of funding.  The position is available immediately.

Preferred qualifications for the postdoc position include:

Are you interested in pursuing an international PhD in the area of Computational Mechanics? 

A postdoctoral associate and Phd positions are available at Mechanical Engineering at Texas A&M University with Prof. Wei Gao. Both positions can start as early as 8/16/2022. The research project will focus broadly on studying the mechanics of materials with multsicale modeling combined with AI and machine learning methods.  The work is highly interdisciplinary and involves collaborations with experimentalists at TAMU. You may read more about Prof. Gao’s research at www.gao-group.org.

Position is immediately available and needs to be filled soon. Interested candidate can contact me at email below.

li.han [at] intel.com

The Computational Mechanics and Methods Group (CM3) in the Department of Mechanical Engineering at the University of Kentucky is seeking highly self-motivated individuals who have great interest in the broad research area of computational solid mechanics and methods. Ideal applicants should have strong background in solid mechanics and great interest in computational modeling & simulation. Related research experience in material failure modeling and simulation is a plus.