Applied Scientist (All Levels) — AI for Physics & Engineering

PhysicsX Ltd.; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

PhysicsX Ltd. is launching a research team in Singapore to develop physical foundation models for engineering domains. You will work with ML and simulation engineers, translating physics challenges into mathematical problems and building scalable ML models for physical systems.

Ideal candidates have a PhD in a related field, 2+ years in data-driven roles, and a strong publication record. The role offers a hybrid setup with occasional on-site collaboration and international partners.

Qualifications

• PhD in a relevant field; track record in ML/physics-oriented research.
• 2+ years in data-driven research roles, with strong publication history.
• Ability to design and run rigorous experiments and benchmarks.

Responsibilities

• Translate physics and engineering challenges into mathematical formulations.
• Build ML models for physics-based systems that scale with large datasets.
• Evaluate trade-offs between model size and data requirements.
• Own research work-streams across seniority levels.
• Present results to internal teams and external partners; contribute to publications.

Skills

Analytical thinking

Project scoping

Collaboration & communication

Publications

Education

PhD in CS/ML/Math/Physics/Engineering

Tools

Python (NumPy, SciPy, Pandas, PyTorch, JAX)

Job description

PhysicsX Ltd. is launching a research team in Singapore to develop physical foundation models for engineering domains. You will work with ML and simulation engineers, translating physics challenges into mathematical problems and building scalable ML models for physical systems.

Ideal candidates have a PhD in a related field, 2+ years in data-driven roles, and a strong publication record. The role offers a hybrid setup with occasional on-site collaboration and international partners.