Research Engineer in Generative AI for 3D Shape Design in Human Body Modelling

Research Engineer in Generative AI for 3D Shape Design in Human Body Modelling

80%-100%, Zurich, fixed-term

Are you a highly motivated and enthusiastic researcher looking to make a difference in the field of AI applied in Healthcare? Join us at the Spinal Cord Injury Artificial Intelligence - SCAI Lab at ETH Zurich.

Our team of clinical and research scientists is dedicated to improving healthcare systems using physiological and clinical information analysis for a closed-loop decision support systems in rehabilitation in many health conditions.

This position is open for a postdoctoral researcher in the field of generative design for exoskeletons and orthosis. Focused on developing a novel method for autonomous design of 3D shapes fitting to the user body and optimizing the design to the desired assistance.

Dr Diego Paez-Granados in collaboration with Prof. Robert Riener (SMS Lab) will supervise the successful engineer.

The position is fully funded for 2 years.

Ideal starting date: July 2024 (or shortly thereafter).

Project background

The goal of this project is to leverage advanced machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and make biomechanical simulations embedded in the generative mechanism design process. As a team member, you will experience a range of exciting challenges, including the development of innovative technologies for patient usage, and developing standardization methods for customizing aids.

You will be based at ETH Zurich and collaborate with the team at the Swiss Paraplegic Center (SPZ) in Nottwil and an industrial in our shared project.

Job description

The goal of this project is to leverage advanced 3D shape construction through generative design for the structural improvement of walking aids with the support of novel expert knowledge included in the design and fabrication.

If you are a highly motivated and creative individual with a passion for innovation, we want to hear from you.

Join us and help shape the future of 3D design and additive manufacturing for mechanical and mechatronic aids.

Your profile

• You have experience in mechatronics systems, and control with a Master's degree from a university in Robotics, Mechanical Engineering, Electrical Engineering, or related fields,
• Highly motivated, self-driven, and shows excellent performance in your studies.
• CAD, 3D modelling and experience in shape analysis such as surface and topology consistency (preferred)
• Confirmed records on the methodological areas: deep learning, topological design, generative AI. (preferred)
• Proven track record in deploying machine learning models into production (C/C++/C# or Python)
• You have first-rate oral and written English skills.
• Highly organized with excellent communication and interpersonal skills.

Your workplace

Your workplace

We offer

To become part of an ambitious, research team offering an outstanding research environment, full access to extensive facilities and great team spirit in close collaboration with international academia and industrial partners.

This is a unique opportunity to be at the forefront of cutting-edge research in AI for human modelling and fitting, working with state-of-the-art technology and collaborating with a highly motivated research and industrial team.

We offer a full-time research assistant/engineer position (100% or as agreed ) with a competitive salary in accordance with ETH standards. Work location ETH Zurich / Nottwil with flexibility for remote work possible.

We value diversity

Curious? So are we.

We look forward to receiving your online application with the following 6 documents as a single file:

• CV (2 pages max),
• Statement of interests and self-assessment of your profile match (1 page Max) with the subject line: "AI in healthcare is transparent or null"
• One code example with documentation,
• Transcripts of all degrees obtained (in English)
• A letter of recommendation
• 2 referees contact information

Applications will be processed regularly until the position is filled.

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about HEST can be found on our website.

Questions regarding the position should be submitted to Mrs. Ai Sullivan, Email ai.sullivan@hest.ethz.ch (no applications).

About ETH Zürich

Curious? So are we.

We look forward to receiving your online application with the following 6 documents as a single file:

• CV (2 pages max),
• Statement of interests and self-assessment of your profile match (1 page Max) with the subject line: "AI in healthcare is transparent or null"
• One code example with documentation,
• Transcripts of all degrees obtained (in English)
• A letter of recommendation
• 2 referees contact information

Applications will be processed regularly until the position is filled.

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about HEST can be found on our website.

Questions regarding the position should be submitted to Mrs. Ai Sullivan, Email ai.sullivan@hest.ethz.ch (no applications).