Doctoral Researcher in “Application of Machine Learning for Model Development in Hydrogen Reactive Flows”

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

About the position

We are now looking for a DOCTORAL RESEARCHER in “application of machine learning for model development in hydrogen reactive flows“. We are also open to receive applications by those who have not finished their Master’s thesis yet. You may start as a research assistant to finalize your Master's degree and start the doctoral research position right after that.

- Are you familiar with machine learning concepts and programming?

- Are you interested in obtaining hand-on practice in computation fluid dynamics for reactive flows?

- Are you passionate about application of machine learning in computational fluid dynamics?

If you answered YES to these questions, this position is definitely suitable for you!

The research will be carried out at Aalto University’s Energy Conversion and System research group at the Department of Mechanical Engineering. In this position you will have a chance to make an impact on developing advanced numerical models for turbulent reactive flows of e-fuels including ammonia/hydrogen blends using machine learning techniques.

You will develop advanced numerical models using detailed CFD data such as direct numerical simulations (DNS). Also, you will gain experience in conducting high-fidelity numerical simulations and analyzing your data using machine learning techniques. You will have the opportunity of research visits to the best research groups of the field around the world as well as meeting highly-talented researchers of the field through international seminars and conferences.

Your research will be part of a research project in which your work will consist of computational studies to find proper numerical models for turbulent reactive flows. In this work, you will be able to interact with other computational researchers in our group working on various other applications (e.g. combustion in burners/engines, numerical modeling, programming, etc). As part of your doctoral candidate duties, you will also gain experience in teaching and instructing other students.

Your experience and ambitions

We are looking for a passionate person that would have the following skills:

Essential

• Master’s degree in physics, mechanical engineering, aerospace engineering, computer science or a closely related field. If you don’t have your Master’s degree yet, you may also start a research assistant
• Strong interest in fluids physics, modeling, and numerical simulation
• Experience in programming e.g.in Python or C++ and ability to work in Linux environment
• Academic background in machine learning techniques
• Basic knowledge in computational fluid dynamics
• Demonstrated academic excellence in previous studies

Beneficial

• Experience with using/programming in OpenFOAM
• Knowledge on advanced data analysis tools

What we offer

The salary of a starting Doctoral researcher is currently 2720 € / month (gross), increasing as milestones for the PhD are achieved (highest PhD researcher level is currently 3403 €/month). The annual workload of research and teaching staff at Aalto University is currently 1612 hours. The employment contract includes occupational health care, and Finland has a comprehensive social security system. The employment relationship is full-time, fixed-term employment at Aalto University. The first contract will be made for 2 years, with a possibility of extension, based on your performance, after passing the midterm review. The doctoral candidate will be expected to contribute also to teaching (max 20% of her/his time).

Join us! How to apply

To apply, please share the following application materials with us through our recruitment site ("Apply now!”).

• A one-page motivation letter detailing 10 most important and concrete aspects (e.g. most relevant courses and grades, software skills, M.Sc. education, publications, etc) that would support selecting you
• Your CV
• Your study certificates on Master’s and Bachelor’s degrees
• Your study records from Master’s and Bachelor’s degrees
• A copy of your Master’s thesis and most important publications (if any)
• Contact details of at least two referees

Please note that the applicants are not expected to apply to the Aalto doctoral programme at this point – only the successful candidate will do this at the next application window.

The deadline for applications is no later than 27th of October 2024, at 23:59 Finnish time (UTC +2). Possible interviews (via MS Teams) will take place after the shortlisting process. Please note that we want the successful candidate to start as soon as possible and by 1st of February 2025 the latest, and we ask the applicants to only apply if this timeline is feasible for them.

Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). Aalto University’s students  and visitors should apply as external candidates with personal (not aalto) email.

Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, and reopen the application process.

Further information

For additional information, please contact Dr. Shervin Karimkashi (shervin.karimkashiarani@aalto.fi). In questions related to the recruitment process, please contact elmeri.martikainen@aalto.fi.

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About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/en/careers-at-aalto/for-international-staff .

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