PhD position in Machine Learning and Physical Simulation

BEMÆRK: Ansøgningsfristen er overskredet

Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Mechanical and Production Engineering programme. The position is available from 01 February 2024 or later. You can submit your application via the link under 'how to apply'.

Title:
PhD position in Machine Learning and Physical Simulation

Research area and project description:
Over the last decades, Artificial Intelligence (AI) and Machine Learning (ML) methods have successfully entered science and engineering workflows to match the growing demands for fast and accurate physical models. Fueled by these demands, the ERC Starting Grant project ALPS – AI-based Learning for Physical Simulation proposes an original approach combining ML methods, such as neural networks, genetic algorithms and reinforcement learning, and discrete mathematical theories, such as graph theory, discrete exterior calculus, and discrete differential geometry, for the development of new algorithms that can automatically discover models of physical systems from experimental data. To tackle the associated computational cost, the algorithms will be implemented in a new open-source software library exploiting state-of-the-art high-performance computing techniques.

The methods proposed in this project will be applied to address scientific challenges in human health, sustainable energy science and technology, and soft robotics. In particular, we envision the use of our algorithms to derive effective reduced-order models for model-based control in soft robotics and to tackle design, optimization, and control problems in engineering for sustainable energy technology, in collaboration with industries.

The successful candidate will mainly work on: 1) the definition of a computational framework that uses ML methods to learn mathematical models of physical systems; 2) the implementation of high-performance algorithms and their application within the context of the aforementioned scientific challenges.

Project description. For technical reasons, you must upload a project description. Please simply copy the project description above, and upload it as a PDF in the application.

Qualifications and specific competences:
Applicants to the PhD position must have a relevant Master’s degree in Physics, Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Electronic Engineering, Computer Science, Data Science, Artificial Intelligence.

Place of employment and place of work:
The place of employment is Aarhus University, and the place of work Mechanical and ProductionEngineering at Inge Lehmanns Gade 10, building 3210

Contacts:
Applicants seeking further information are invited to contact:

• Associate Professor Alessandro Lucantonio, a.lucantonio@mpe.au.dk (main supervisor)

How to apply:
Please follow this link to submit your application.
Application deadline is 15 November 2023 23:59 CET.
Preferred starting date is 01 February 2024.
For information about application requirements and mandatory attachments, please see our application guide.

Please note:

• The programme committee may request further information or invite the applicant to attend an interview.
• Shortlisting will be used, which means that the evaluation committee only will evaluate the most relevant applications.

Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background. Salary and terms of employment are in accordance with applicable collective agreement.

 

INFORMATIONER OM STILLINGEN:

- Arbejdspladsen ligger i:

Aarhus Kommune

-Virksomheden tilbyder:

-Arbejdsgiver:

Aarhus Universitet, Nordre Ringgade, 8000 Aarhus C

-Ansøgning:

Ansøgningsfrist: 15-11-2023; - ansøgningsfristen er overskredet

Se mere her: https://job.jobnet.dk/CV/FindWork/Details/5924690