job

Postdoc in TU Denmark: Computational modelling of degradation of wind turbine blades

Submitted by Leon Mishnaevsky on Mon, 02/05/2024 - 08:40

wind energy; composites; Abaqus; modelling; vacancy

Technical University of Denmark, Risø Campus (30 km from Copenhagen): New vacant postdoc position for 1 years (extension is possible). LinK: https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/… You are expected to have a PhD, good knowledge of mechanics of materials, computational micromechanics, finite element simulations (ABAQUS) as well as programming in a higher-level language (Python, including Numpy package).

Ph.D. position in modular-topology optimization of compliant structures, mechanisms, and materials, Czech Technical University in Prague

Submitted by jenda_z on Mon, 02/05/2024 - 08:01

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PhDposition; structural optimization; modular-topology optimization; Modular metamaterials; mathematical programming

A fully funded Ph.D. opening at the Faculty of Civil Engineering, Czech Technical University, is available for candidates with a strong interest in applying and developing mathematical programming techniques for optimal design of modular structures, mechanisms, and/or (meta-)materials. The candidate will be jointly supervised by Marek Tyburec, Michal Kočvara, and myself.

Postdoctoral Position in Molecular and Multiscale Modeling at the University of Connecticut

Submitted by anna.tarakanova on Fri, 02/02/2024 - 13:50

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Multiple postdoctoral positions are available immediately for highly motivated individuals with a strong background in biophysics, biochemistry, structural biology, and/or computational methods, in the lab of Prof. Anna Tarakanova at the University of Connecticut. Duration of position is for 1-3 years. Our group’s research focuses on advancing and applying molecular, multiscale, and data-driven modeling methods to study the structure, function and mechanics of complex nanoscale and biological materials.

Postdoc position in Machine Learning for Advanced Physical Simulation at Aarhus University, Denmark

Submitted by Alessandro Luc… on Tue, 01/30/2024 - 08:51

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machine learning

simulation

High Performance Computing

deep reinforcement learning

I have an opening in my group for a 2-year postdoc position offering applicants an exciting opportunity to join my ERC-funded project “ALPS - AI-based Learning for Physical Simulation”.

Job description

You will be contributing to developing novel algorithms at the intersection of computational physics and machine learning for the automatic identification of symbolic models of physical systems starting from experimental data.

PhD position in eco-innovative shape memory architected dampers for the seismic protection of infrastructures

Submitted by giulia scalet on Mon, 01/29/2024 - 14:38

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#job

#Job #PhD #Computational mechanics

Shape memory alloy

Topology optimisation

#Additive Manufacturing

#3d-printing

We are looking for a highly motivated candidate for a PhD position between École des Ponts ParisTech and University of Pavia, starting October 2024. The position is part of the EU-funded project MISCEA, an ambitious multidisciplinary Doctoral Training Network under the Horizon-Europe Marie Skłodowska-Curie Actions COFUND.

Research Technician or Postdoctoral Research Associate on animal (chinchilla) studies

Submitted by Yijie Jiang on Sat, 01/20/2024 - 00:52

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Organization: Biomedical Engineering Laboratory / School of AME / University of Oklahoma

Location: Norman, Oklahoma, United States

Date Needed: Available immediately

Primary Category: Research staff member for animal (chinchilla) studies

Type of Position: Full-Time

Salary: To be comparable and determined

Description & Details:

Open Postdoc on computational methods to process experimental data

Submitted by Andrew J. Gross on Thu, 01/11/2024 - 17:19

uncertainty quantification

A Postdoctoral Fellow is sought to fill an immediate opening in the Gross Materials Lab at the University of South Carolina to work on a DARPA funded project. The postdoc will have the opportunity to attend regular meetings with DARPA and other DOD program managers. The research is focused on extracting yield surfaces from data rich full-field experimental information by solving an inverse problem. This research will be primarily computational and will integrate closely with a graduate student conducting experiments.

Summer research opportunities in machine learning and computational mechanics at AFRL

Submitted by matthew.grasinger on Tue, 01/09/2024 - 21:20

The DoD HPC Modernization Program has high-performance computing internship opportunities at the Air Force Research Laboratory. These internships give undergraduate and graduate students the opportunity to perform scientific, computational research alongside AFRL researchers in support of the US Air Force’s mission.

Postdoc position at UT Austin

Submitted by Rui Huang on Tue, 01/09/2024 - 18:04

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Dr. Jan Fuhg has just joined UT Austin as an assistant professor. He has a postdoc position in computational solid mechanics and physics-informed machine learning. Please see attached file for details and contact Dr. Fuhg (jan.fuhg [at] utexas.edu) if you are interested.