Postdoctoral Researcher
il y a 7 jours
This a Full Remote job, the offer is available from: We invest in future talent through internship programs, research papers, developer tools, textbooks, educational talks/events and partnerships with universities/talent hubs to attract multi-disciplinary talent.
The SandboxAQ Residency Program is an excellent, paid opportunity for graduate students or postdocs to work on impactful problems relevant to industry.
During their time with the program, we encourage residents to contribute to publications, attend conferences, and pursue their professional development.
Working closely with a focused team of PhDs, MBAs, engineers, and product experts, you will confront hard problems, make business impact, and improve lives.
The S&O division is looking for a highly motivated and talented individual to join our multi-disciplinary team of physicists, chemists, and computer scientists to work on applications of machine learning to material science, chemistry, and biology.
The focus of this position will be on the research and development of new, innovative approaches to model properties of challenging materials and molecules, using and improving upon the latest state-of-the-art machine learning and deep learning methods.
Conduct research to advance the understanding and application of machine learning techniques in chemistry and structural biology- Research and develop equivariant machine learning potentials to capture symmetry properties of atomic systems
- Apply expertise from quantum physics/chemistry to inform and guide the development of machine-learning models for atomic systems
- Utilize scientific computing techniques to implement, train, and optimize machine learning models
- Collaborate with interdisciplinary teams to integrate machine learning models into existing computational frameworks
- Write, optimize, and maintain code for machine learning models and simulations
- D. in Physics, Chemistry, Computer Science, or a related field with a focus on one or more of algorithm development for many-body systems, machine learning applications in atomic systems, tensor networks, or similar.
- Expertise in developing neural network-based machine learning potentials. Expertise in equivariant machine learning potentials is a strong plus.
- Strong background in quantum physics and demonstrated experience in applying quantum concepts to machine learning models
- Domain expertise in algorithm development in one or more areas of machine learning, scientific computing, many-body physics, tensor networks
- Proficiency in scientific computing, numerical methods, and programming languages such as Python, Jax, PyTorch
- We invest in our employees' personal and professional growth. We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more.
Accommodations:
we provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. Senior (5+ years of experience)
Tagged as:
Industry , Machine Learning , Neural Networks , NLP , Unspecified
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