About this role
Translate physics and engineering challenges into mathematical formulations to build scalable machine learning models for physical systems. Own research work-streams and communicate findings through publications, workshops, and customer collaborations.
Requires a PhD in a quantitative field with expertise in neural operators, geometric deep learning, or generative models. Ideally possesses over 2 years of experience in data-driven roles with a strong publication record in reputable venues like NeurIPS or ICML.
What they're looking for
Deep LearningProbabilistic MethodsPythonPyTorchJAXNumPySciPyPandas
Frequently asked questions
What does a Applied Scientist - Senior / Principal at PhysicsX do?
Translate physics and engineering challenges into mathematical formulations to build scalable machine learning models for physical systems. Own research work-streams and communicate findings through publications, workshops, and customer collaborations. Requires a PhD in a quantitative field with exp…
What skills does this Applied Scientist - Senior / Principal role need?
Key skills for this role include Deep Learning, Probabilistic Methods, Python, PyTorch, JAX, NumPy.
How much does a Applied Scientist - Senior / Principal at PhysicsX pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Applied Scientist - Senior / Principal role remote, hybrid, or on-site?
This role is hybrid, based in Singapore.
How do I apply for this Applied Scientist - Senior / Principal role?
You can apply directly on PhysicsX's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.