Postdoc position in physics-informed ML / AI

The over-arching goal is to expedite the capability to tackle the time-critical sustainability challenges by leveraging machine learning / artificial intelligence tools, which can not only provide mechanistic understanding but also enhance predictive capability of the green engineering processes.

About the research
The research topic is in Chemical Process Engineering. One crucial challenge is to develop and design novel processes for the manufacturing of chemicals, materials and fuels from renewable sources. Many other important sustainability-related needs include recycling, process intensification, more energy efficient processes, etc. In all these applications, there will be a number of different reactors and separation equipment, many of them quite different compared to the present process industry. Consequently, fundamental understanding of unit operations, such as separation (mixing, distillation, drying, filtration, etc) and mass/heat transfer, is important.

This calls for innovative experimentation on the laboratory scale combined with mathematical modeling. We aim to forge new alliances and open up new collaborations to address current and forthcoming applications of relevance to society and industry. In this process, there is also a need to maintain a proper balance between fundamental and applied research within the area. Such a continued strategic development of Chemical Process Engineering research at Chalmers has the potential to significantly contribute to the realization our overall vision for a sustainable future.

Major responsibilities
The project will focus on developing physics-informed machine learning / artificial intelligence models for chemical engineering unit operations / processes.

The key responsibility as postdoc is to independently drive the research to bridge gaps in the knowledge base. The position will involve reporting current research results in both written and oral forms, as well as authoring scientific research publications.

The position may also include teaching on undergraduate and master's levels as well as supervising master's and/or PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position is meritorious for future research duties within academia as well as industry/the public sector.

Qualifications
You should have, or expect to soon obtain, a PhD degree in Chemical Engineering or a related subject area. Experience with machine learning / artificial intelligence modeling is required.

To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). Exceptions from the 3-year limit can be made for longer periods resulting from parental leave, sick leave or military service*.

The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.

You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education.

* The date shown in your doctoral degree certificate is the date we use, as this is the date you have met all requirements for the doctoral degree.

Contract terms
This postdoc position is a full-time temporary employment for two years.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with 20240188 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document as: CV, Surname, Ref. number) including:
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Describe your future goals and future research focus

Other documents:
• Attested copies of completed education, grades and other certificates.

Use the button at the foot of the page to reach the application form.

Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered.

Application deadline: 2024-04-30

 
For questions, please contact:
Professor, Jia Chew, Kemiteknik,
jia.chew@chalmers.se

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 

Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!