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Distinguished Research Scientist, Physics Informed AI, London
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Client:
Autodesk
Location:
London, United Kingdom
Job Category:
Other
-
EU work permit required:
Yes
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Job Reference:
19fe6e3cb4c9
Job Views:
3
Posted:
29.06.2025
Expiry Date:
13.08.2025
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Job Description:
Position Overview
The Simulation, Optimization and Systems (SOS) group within Autodesk Research is seeking an exceptionally talented and experienced Scientific Leader to join our team. We are focused on advancing the state-of-the-art design tools to allow architects, artists, designers, and engineers to “Make Anything”. Our research centers around generative methods for design and spans physics-based modeling, simulation, optimization and systems modeling. You will lead and help build build a group focusing on the future of physics informed AI. Your group will work closely experts in geometric modeling, simulation, systems, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction.
The Physics Informed AI group will be specifically focused on researching and implementing novel algorithms for physics informed machine learning for use in design and engineering tools. We are interested in a scientific leader to help guide and direct research into physics-based generative models, surrogate models, data assimilation & digital twins, physics-based reasoning and the interpretation of physical results using AI.
Responsibilities
Identify, recruit and hire a team of scientists in Physics Informed AI with a focus on design
Work closely with a multi-disciplinary team of research scientists and engineers to conceive, plan, develop, and implement scientific research projects
Direct & perform research on machine learning models combining physics simulation and measurement data
Manage a team, perform bi-annual evaluations, plan development, coach, mentor and connect your personnel to academic communities and throughout the company
Publish papers in peer-reviewed scientific journals/conferences
Supervise researchers, engineers and interns (undergrad, Masters, PhD or Post-docs)
Document and communicate the intent and the results of projects in clear terms to both technical and non-technical team audiences
Present research findings at conferences and participate in research collaborations with external research institutes and universities
Communicate and promote the use of research findings throughout Autodesk
Consult with product teams on the implementation of research findings into products
Minimum Qualifications
Ph.D. or MSc. 12+ years experience in Computer Science, Engineering, Physics or Applied Mathematics
Extensive experience with Physics Informed Machine learning models
Experience authoring physics-based solvers eg; fluids, thermal, structural, kinematic
Strong publication history in relevant conferences and journals
Proven track record as a practitioner of ML, creating, training and leading groups that can build and train models at scale
Excellent written and oral communication skills
Excellent knowledge of Numerical Methods
Ability to quickly learn new technologies and adapt to new situations
Ability to collaborate effectively with a diverse, multicultural global team of scientists, engineers and architects
Preferred Qualifications
Knowledge of geometry and topology
Experience training large-scale, multi-modal models and ensembles
Familiar with collaborative development environments and version control systems
Experience with:
2D and 3D computer graphics programming
Bayesian statistics
NVIDIA Warp and/or JAX, NVIDIA Modulus or similar
Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker
Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs, RNNs etc. at scale
Computer Vision
Python, C++, Rust
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $199,900 and $323,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Position Overview
The Simulation, Optimization and Systems (SOS) group within Autodesk Research is seeking an exceptionally talented and experienced Scientific Leader to join our team. We are focused on advancing the state-of-the-art design tools to allow architects, artists, designers, and engineers to “Make Anything”. Our research centers around generative methods for design and spans physics-based modeling, simulation, optimization and systems modeling. You will lead and help build build a group focusing on the future of physics informed AI. Your group will work closely experts in geometric modeling, simulation, systems, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction.
The Physics Informed AI group will be specifically focused on researching and implementing novel algorithms for physics informed machine learning for use in design and engineering tools. We are interested in a scientific leader to help guide and direct research into physics-based generative models, surrogate models, data assimilation & digital twins, physics-based reasoning and the interpretation of physical results using AI.
Responsibilities
1. Identify, recruit and hire a team of scientists in Physics Informed AI with a focus on design
2. Work closely with a multi-disciplinary team of research scientists and engineers to conceive, plan, develop, and implement scientific research projects
3. Direct & perform research on machine learning models combining physics simulation and measurement data
4. Manage a team, perform bi-annual evaluations, plan development, coach, mentor and connect your personnel to academic communities and throughout the company
5. Publish papers in peer-reviewed scientific journals/conferences
6. Supervise researchers, engineers and interns (undergrad, Masters, PhD or Post-docs)
7. Document and communicate the intent and the results of projects in clear terms to both technical and non-technical team audiences
8. Present research findings at conferences and participate in research collaborations with external research institutes and universities
9. Communicate and promote the use of research findings throughout Autodesk
10. Consult with product teams on the implementation of research findings into products
Minimum Qualifications
11. Ph.D. or MSc. 12+ years experience in Computer Science, Engineering, Physics or Applied Mathematics
12. Extensive experience with Physics Informed Machine learning models
13. Experience authoring physics-based solvers eg; fluids, thermal, structural, kinematic
14. Strong publication history in relevant conferences and journals
15. Proven track record as a practitioner of ML, creating, training and leading groups that can build and train models at scale
16. Excellent written and oral communication skills
17. Excellent knowledge of Numerical Methods
18. Ability to quickly learn new technologies and adapt to new situations
19. Ability to collaborate effectively with a diverse, multicultural global team of scientists, engineers and architects
Preferred Qualifications
20. Knowledge of geometry and topology
21. Experience training large-scale, multi-modal models and ensembles
22. Familiar with collaborative development environments and version control systems
23. Experience with:
2D and 3D computer graphics programming
Visualization techniques
Bayesian statistics
NVIDIA Warp and/or JAX, NVIDIA Modulus or similar
Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker
Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs, RNNs etc. at scale
Koopman, DMD, SINDy, Fourier Neural Operators, PINNs etc.
Computer Vision
Python, C++, Rust
OpenMP, Clang, SIMD, etc.
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $199,900 and $323,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Equal Employment Opportunity
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