Distinguished Research Scientist, Physics Informed AI

Autodesk; London; On-site; GBP 199,000 - 324,000; Full time

Job summary

A leading company in design technology seeks a Distinguished Research Scientist to lead a group focusing on physics-informed AI. This role involves managing a diverse team, overseeing cutting-edge research, and shaping the future of design tools. Ideal candidates will have extensive experience in machine learning and a strong publication record.

Benefits

Comprehensive benefits package

Annual cash bonuses

Stock grants

Qualifications

• 12+ years of experience in Computer Science, Engineering, Physics, or Applied Mathematics.
• Excellent knowledge of Physics Informed Machine learning models.
• Strong publication history in relevant conferences and journals.

Responsibilities

• Identify and recruit a team of scientists in Physics Informed AI.
• Direct and perform research on machine learning models combining physics simulation.
• Manage a team, perform evaluations and mentor personnel.

Skills

Physics Informed Machine learning

Numerical Methods

Communication skills

Collaboration

Leadership

Education

Ph.D. or MSc

Tools

Python

C++

Rust

Pytorch

AWS Sagemaker

Job description

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Distinguished Research Scientist, Physics Informed AI, London

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Client:

Autodesk

Location:

London, United Kingdom

Job Category:

Other

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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

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

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