20 computational-mechanics Postdoctoral research jobs at NEW YORK UNIVERSITY ABU DHABI
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experience in the fields of computational mechanics and computational geomechanics. Preferred Qualifications: Experience in the following areas is preferred: Experience in modeling geomechanical systems
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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that interface with human stem cells, investigate cellular and molecular mechanisms governing development and pathology, lead experiments from conception through publication in high-impact journals, mentor
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Laboratory (http://nyuad.nyu.edu/sreenivasan-lab ) focuses on the neurobiological mechanisms that support and constrain working memory ability. Our projects involve collaborations with Psychology and Biology
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, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must
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in Robotics, Control Engineering, Machine Learning, AI, Mechanical or Electrical Engineering, or a closely related field. Strong focus on robot manipulation learning & control, and differential
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learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design and implementation of incentive mechanisms for sociotechnical and cyber-physical-human systems
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, including electrically conductive membranes. The successful candidate will work under the supervision of Professor Raed Hashaikeh in the Mechanical Engineering Department, collaborating with a
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September 2025. The successful candidate must have previous research experience (computational and experimental) in the broad area of Nonlinear Mechanics. Applicants must have received a Ph.D. in Mechanical
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candidate will work under the supervision of Professor Raed Hashaikeh in the Mechanical Engineering department. This project focuses on the development and optimization of conductive membranes