Physics Informed AI/ML Researcher
Autodesk
Physics Informed AI/ML Researcher
Job Description
Physics Informed AI/ML Researcher
📋 Job Overview
The Physics Informed AI/ML Researcher at Autodesk in London will develop advanced machine learning models that integrate physical principles to enhance simulation and design software. The role focuses on applying physics-informed neural networks to solve complex engineering problems in architecture, engineering, and construction. Based in the EMEA region, this position contributes to innovative AI solutions for Autodesk's product portfolio.
📍 Location: EMEA - United Kingdom - London - Agar St, EMEA - United Kingdom - London - Agar St
📅 Posted: Posted 21 Days Ago
🎯 Key Responsibilities
- Research and develop physics-informed machine learning algorithms for engineering simulations
- Collaborate with cross-functional teams to integrate AI models into Autodesk products
- Conduct experiments, analyze results, and publish findings to advance the field
- Mentor junior researchers and contribute to technical roadmaps
✅ Required Qualifications
- PhD in Computer Science, Applied Mathematics, Physics, or a related field
- 3+ years of experience in AI/ML research and development
- Strong background in physics-based modeling and simulation
- Experience with deep learning frameworks and numerical methods
⭐ Preferred Qualifications
- Publications in top AI/ML or physics-informed computing conferences/journals
- Experience with Autodesk software or CAD/BIM tools
- Knowledge of generative AI and uncertainty quantification
- Familiarity with high-performance computing environments
🛠️ Required Skills
- Proficiency in Python, TensorFlow, PyTorch
- Expertise in numerical analysis, PDEs, and finite element methods
- Strong problem-solving and research skills
- Excellent communication and teamwork abilities
- Experience with JAX or similar for differentiable programming
🎁 Benefits & Perks
- Competitive salary and performance-based incentives
- Comprehensive health, dental, and vision insurance
- Flexible working hours and remote work options
- Professional development opportunities and tuition reimbursement
- Generous vacation policy and parental leave
- Employee stock purchase plan and retirement savings
Locations
- EMEA - United Kingdom - London - Agar St, EMEA - United Kingdom - London - Agar St
Salary
Estimated Salary Rangemedium confidence
90,000 - 140,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python, TensorFlow, PyTorchintermediate
- Expertise in numerical analysis, PDEs, and finite element methodsintermediate
- Strong problem-solving and research skillsintermediate
- Excellent communication and teamwork abilitiesintermediate
- Experience with JAX or similar for differentiable programmingintermediate
Required Qualifications
- PhD in Computer Science, Applied Mathematics, Physics, or a related field (experience)
- 3+ years of experience in AI/ML research and development (experience)
- Strong background in physics-based modeling and simulation (experience)
- Experience with deep learning frameworks and numerical methods (experience)
Preferred Qualifications
- Publications in top AI/ML or physics-informed computing conferences/journals (experience)
- Experience with Autodesk software or CAD/BIM tools (experience)
- Knowledge of generative AI and uncertainty quantification (experience)
- Familiarity with high-performance computing environments (experience)
Responsibilities
- Research and develop physics-informed machine learning algorithms for engineering simulations
- Collaborate with cross-functional teams to integrate AI models into Autodesk products
- Conduct experiments, analyze results, and publish findings to advance the field
- Mentor junior researchers and contribute to technical roadmaps
Benefits
- general: Competitive salary and performance-based incentives
- general: Comprehensive health, dental, and vision insurance
- general: Flexible working hours and remote work options
- general: Professional development opportunities and tuition reimbursement
- general: Generous vacation policy and parental leave
- general: Employee stock purchase plan and retirement savings
Tags & Categories
Answer 10 quick questions to check your fit for Physics Informed AI/ML Researcher @ Autodesk.
10 Questions
~2 Minutes
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Related Books and Jobs
Physics Informed AI/ML Researcher
Autodesk
Physics Informed AI/ML Researcher
Job Description
Physics Informed AI/ML Researcher
📋 Job Overview
The Physics Informed AI/ML Researcher at Autodesk in London will develop advanced machine learning models that integrate physical principles to enhance simulation and design software. The role focuses on applying physics-informed neural networks to solve complex engineering problems in architecture, engineering, and construction. Based in the EMEA region, this position contributes to innovative AI solutions for Autodesk's product portfolio.
📍 Location: EMEA - United Kingdom - London - Agar St, EMEA - United Kingdom - London - Agar St
📅 Posted: Posted 21 Days Ago
🎯 Key Responsibilities
- Research and develop physics-informed machine learning algorithms for engineering simulations
- Collaborate with cross-functional teams to integrate AI models into Autodesk products
- Conduct experiments, analyze results, and publish findings to advance the field
- Mentor junior researchers and contribute to technical roadmaps
✅ Required Qualifications
- PhD in Computer Science, Applied Mathematics, Physics, or a related field
- 3+ years of experience in AI/ML research and development
- Strong background in physics-based modeling and simulation
- Experience with deep learning frameworks and numerical methods
⭐ Preferred Qualifications
- Publications in top AI/ML or physics-informed computing conferences/journals
- Experience with Autodesk software or CAD/BIM tools
- Knowledge of generative AI and uncertainty quantification
- Familiarity with high-performance computing environments
🛠️ Required Skills
- Proficiency in Python, TensorFlow, PyTorch
- Expertise in numerical analysis, PDEs, and finite element methods
- Strong problem-solving and research skills
- Excellent communication and teamwork abilities
- Experience with JAX or similar for differentiable programming
🎁 Benefits & Perks
- Competitive salary and performance-based incentives
- Comprehensive health, dental, and vision insurance
- Flexible working hours and remote work options
- Professional development opportunities and tuition reimbursement
- Generous vacation policy and parental leave
- Employee stock purchase plan and retirement savings
Locations
- EMEA - United Kingdom - London - Agar St, EMEA - United Kingdom - London - Agar St
Salary
Estimated Salary Rangemedium confidence
90,000 - 140,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python, TensorFlow, PyTorchintermediate
- Expertise in numerical analysis, PDEs, and finite element methodsintermediate
- Strong problem-solving and research skillsintermediate
- Excellent communication and teamwork abilitiesintermediate
- Experience with JAX or similar for differentiable programmingintermediate
Required Qualifications
- PhD in Computer Science, Applied Mathematics, Physics, or a related field (experience)
- 3+ years of experience in AI/ML research and development (experience)
- Strong background in physics-based modeling and simulation (experience)
- Experience with deep learning frameworks and numerical methods (experience)
Preferred Qualifications
- Publications in top AI/ML or physics-informed computing conferences/journals (experience)
- Experience with Autodesk software or CAD/BIM tools (experience)
- Knowledge of generative AI and uncertainty quantification (experience)
- Familiarity with high-performance computing environments (experience)
Responsibilities
- Research and develop physics-informed machine learning algorithms for engineering simulations
- Collaborate with cross-functional teams to integrate AI models into Autodesk products
- Conduct experiments, analyze results, and publish findings to advance the field
- Mentor junior researchers and contribute to technical roadmaps
Benefits
- general: Competitive salary and performance-based incentives
- general: Comprehensive health, dental, and vision insurance
- general: Flexible working hours and remote work options
- general: Professional development opportunities and tuition reimbursement
- general: Generous vacation policy and parental leave
- general: Employee stock purchase plan and retirement savings
Tags & Categories
Answer 10 quick questions to check your fit for Physics Informed AI/ML Researcher @ Autodesk.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs