We are looking for highly motivated candidates who are proficient in computer programming and mathematical modeling. Candidates should hold the equivalent of a master degree in physics, computational chemistry, materials science, or a related discipline.

Job Description This project is to simulate fluid flows by using quantum machine learning techniques.The work will involve the building of neural networks for simulation of fluid flows and quantum computing in fluid mechanics.

As a Lecturer/Senior Lecturer in Computational Mechanics and Engineering Design, you will have an outstanding record in mechanical engineering, particularly in engineering design using data-driven mechanics, design optimization and modelling. You will work within and across boundaries to address major research challenges, attract grant income, generate high quality impact outcomes and expand existing capability in the School and University.

We are seeking to recruit two highly motivated and enthusiastic Research Associates/Fellows at the University of Nottingham to perform computational research and provide support on the planning and management of projects aimed at developing novel metal hydrides and metal complex hydrides for energy storage applications in the frame of a five year Leverhulme International Professorship.

What Your Job Will Be Like: Are you interested in expanding your knowledge of modeling and simulation as a member of a team of scientists and engineers at a DOE national laboratory?We are seeking undergraduate student summer interns in the areas of atomistic materials modeling and high-performance scientific computing as part of the NNSA Minority Serving Institution Partnership Program (MSIPP) Consortium for Nuclear Security Advanced Manufacturing Enhanced by Machine Learning (NSAM-ML).

Posting Duration: This posting will be open for application submissions for a minimum of seven (7) calendar days including the posting date.Sandia reserves the right to extend the posting date at any time.

We are currently looking for three Computational Scientists to join our group. The successful applicants will join a rapidly growing initiative aimed at transforming research performed at large experimental Facilities (synchrotrons, neutron and muon sources, laser-based facilities etc) through a multi-disciplinary approach to data processing, computer simulation and data analytics. This initiative will provide computing hardware, build software and provide computational and data analytics expertise that will spark a paradigm shift in the capability of scientists to design, analyse and interpret experiments.

Are you interested in astrochemistry, computational methods and machine learning? In the respective groups of Assoc. Prof. Mie Andersen and Prof. Bjørk Hammer at Department of Physics and Astronomy and Center for Interstellar Catalysis, Aarhus University, we have an open post-doctoral position within these research topics. Applications should cover aspects relevant to interstellar catalysis and grain surface chemistry.

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We are looking for a computational scientist who can incorporate your knowledge of computational biophysics and data analytics and apply it to drug discovery. You will develop cutting edge physics-based computational methods to investigate dynamic proteins while deploying robust computational workflows to the drug discovery team.

Verus Research is searching for a Computational Physicist to participate in research and development efforts across multiple technical areas, including plasma and beam-based radiation sources, high-current pulsed power machines, nuclear technologies, and complex system integration efforts.

Postdoctoral Positions in Soochow University, China

We are seeking a Postdoctoral Research Associate who will support the Advanced Computing for Chemistry and Materials Group in the National Center for Computational Sciences (NCCS), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) to perform leading-edge computational chemistry/materials research and development for applications in the energy sciences and biophysics.

A fully funded Ph.D. position is available for Fall 2023 in Computational Materials Research Lab (CMRL). Candidates with good academic credentials and an interest in working on computational research projects are encouraged to apply. The ideal candidate should have a master’s degree in materials science, physics, chemistry, engineering, or related fields with a good background in Materials Science, Solid State Physics, and Computational Science. A good background in high-level programming and high-performance computing (HPC) is a huge advantage.

We are now looking to appoint a postdoc in Molecular Computational Spectroscopy, placed at the Laboratory of Organic Electronics, Department of Science and Technology, Campus Norrköping.

We are seeking to recruit two highly motivated and enthusiastic Research Associates/Fellows at the University of Nottingham to perform computational research and provide support on the planning and management of projects aimed at developing novel metal hydrides and metal complex hydrides for energy storage applications in the frame of a five year Leverhulme International Professorship.

Are you interested in a career in computational physics? If the answer is "yes" we invite you to learn more about our opening for an early career Computational Physicist. In this role you would make crucial contributions to projects related to neutral particle transport, equations of state, solid mechanics, high explosives modeling, compressible hydrodynamics, or shock physics. In addition, there will be opportunities to work on performance optimization and porting algorithms to heterogeneous computing architectures.

Your interdisciplinary research project will involve developing and implementing novel machine learning representations and fingerprints of shapes and topologies for diverse functional organic materials, including graphene derivatives, covalent organic frameworks, and hyperbranched polymers. You will also use high-level quantum-chemical simulations to design custom descriptors of the non-covalent interactions between materials and small molecules.

The Senior Research Scientist/Research Scientist will conduct research to meet the objectives of the research program, which are: To conduct research on advanced computational algorithms for modeling of complex electromagnetic scattering and diffraction phenomena;

The aim of the project is to advance the development of high-temperature superconductors by investigating a novel set of promising and application-relevant material systems using machine learning and state-of-the-art DFT and DFPT code-packages. The project will be performed in close collaboration with various research groups in the UK and USA.