We are looking for a highly motivated and dynamic person to work on scientific software development, often aimed at high performance computing. The ideal candidate should have a university degree (master) in computer science, physics or related fields, and the ability to work and collaborate within a diverse team.

<div class="container job-publication-default-design" id="main"> <div class="row"> <div class="col-md-12"> <div id="headerPublication" class="default-design-box"><div class="card-body"> <h3><strong>Position:</strong>&nbsp;<strong>Scientific Programmer / Research Software Develope......

The Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a postdoc researcher position in emerging technology and scientific computing. This position offers a unique opportunity to develop scientific software for emerging technology and high-performance computing (HPC) with applications in diverse scientific domains of interest to BNL and the Department of Energy (DOE).

We are seeking for two highly motivated and talented Doctoral Researchers (PhD students) to work full-time in the field of computational imaging and scientific computing with the Centre of Excellence in Inverse Modeling and Imaging (Research Council of Finland) and Consolidator Grant of European Research Council (ERC).

Requisition Id11502 Overview: Interested in taking your scientific computing skills to the next level?We are seeking a senior computer scientist to lead a world class research group in the areas of Architectures and Performance for the Oak Ridge National Labs (ORNL) and Department of Energy (DOE) missions.

UES, inc. has developed capabilities in modeling and simulation, computational automation, autonomy, Machine Learning (ML), Artificial Intelligence (AI), software development, and a variety of disciplines in software engineering. As these areas continue to be a focal point for our business growth, we are seeking an experienced technical leader for an Associate Director role.

The Land-Climate Dynamics group is looking for a scientific software developer to advance the technical and theoretical development of the Modular Earth System Model Emulator with spatially Resolved output (MESMER).

MathEXLab is looking for a self-motivated, proactive and highly creative Research Fellow in machine learning, natural language processing and sequence-to-sequence modeling for extreme weather forecasting applications. The ideal candidate should be skilled in coding, and software development, and be highly proficient in Python, natural language processing and neural networks for sequence-to-sequence modeling.

MathEXLab is looking for a self-motivated, proactive and highly creative Research Fellow in machine learning, natural language processing and sequence-to-sequence modeling for extreme weather forecasting applications. The ideal candidate should be skilled in coding, and software development, and be highly proficient in Python, natural language processing and neural networks for sequence-to-sequence modeling.

We are looking for an expert in Computational Chemistry Modeling/Cheminformatics to join our team of experts in mathematics, computational modeling, molecular dynamics, and medicinal chemistry.

The Computing for National Security Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate position in computer architecture, machine learning, and scientific computing.

GDIT is seeking a Computational Scientist to support the High Performance Computing Modernization Program (HPCMP) User Productivity Enhancement and Training (PET). As a Computational Scientist, you will join a team of innovative and savvy engineers and scientists, focusing on building collaborative relationships with the HPC community to better understand their technology needs and challenges.

GDIT is seeking a dynamic leader to manage our team of computational scientists at the AFRL DSRC. You would be supporting the DoD High Performance Computing Modernization Program (HPCMP) User Productivity Enhancement and Training (PET) initiative.

The Institute for Computational Physics at the University of Stuttgart use high-performance computing on supercomputers and parallel clusters to solve complex problems in physics that would otherwise be impossible to solve via analytical methods. Our main research areas are presently to understand the physics of soft matter systems in general, with a particular emphasis on charged systems like polyelectrolytes, charged colloids, ferrofluids and ionic liquids and other electrolytes.

We offer an exciting opportunity for a Scientific Software Engineer (SSE) to join RMED to support our pioneering research to develop and evaluate very large domain regional and global modelling capability at kilometre grid-scale (known as ‘K-Scale’) to assess their costs and benefits for next-generation modelling. This is technically challenging - working at the cutting edge of current capabilities and exploring the frontiers of what’s possible through:

The successful candidate will be responsible for leading specific research programmes in remote sensing technology and applications. They are expected to continuously enhance the scientific knowledge of the Centre and participate actively in remote sensing technology development and application projects.

Research Fellow position is immediately available in the Optical Bioimaging Lab, Department of Biomedical Engineering, National University of Singapore. The successful candidates will be in charge of the development of novel optical imaging methods. He/she will need to support the project management and ensure the research milestones are achieved according to the plan. The selected candidate will also need to work closely with other research staffs to deliver high-quality research outcomes.

We seek outstanding candidates with expertise in at least some of the following areas: theory and numerics for deterministic and stochastic differential equations, high dimensional approximation, uncertainty quantification, optimization under uncertainty, stochastic optimization, reduced order modeling, digital twins, data assimilation, scientific machine learning.

This position is part of the Design/Delivery Technology group as part of the DTI team, and will help lead the firm’s digital transformation in design automation, computational design strategies, and BIM technologies by providing guidance, technological vision, and solution development.

Design, implement, and maintain software for the collection, processing, distribution, and analysis of real-time satellite navigation signals in the Space and Geophysics Laboratory (SGL).