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 120 nationalities, 14 000 students, 400 professors and close to 5000 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.

We are seeking one or more highly motivated and talented Research Assistants or Master Thesis Workers to join our team and contribute to an ongoing strategic research project.

Your role and goals

The candidate(s) will work on a project where they will be involved in any tasks as follows:

investigate what technology is available in the market, technical capabilities and limitations for enabling battery energy storage regeneration to participate in demand response market investigate optimization of battery energy storage demand response.

The candidates will also work on developing a proof of concept, develop accurate battery storage models accounting for degradation–train, test, finetune this proof of concept utilizing available data.

While the project considers optimization based on classical AI / Machine Learning approaches is within scope, the research on hybrid quantum-classical AI / ML for optimization in energy market participation will be of substantial interest.

The candidate will work together with more senior researchers and have the opportunity to interact with relevant industries involved, giving them a chance to build crucial connections and networking for their future careers.

Your experience and ambitions

You are enrolled at Aalto University as a Master degree student who studies computer science, advanced energy systems, electrical/electronic engineering, or related areas. For the optimization task, background or experience in quantum AI/ machine learning is of significant interest.

We expect candidates to have background and interest in artificial intelligence. The candidate shall have the necessary background to develop proof of concept, hence experience in software development (e.g., Python) is essential.

A good proficiency in English is required to work in this position. We will start screening candidates as soon as possible as the project is already ongoing.

Excellent analytical and problem-solving skills are paramount, combined with effective communication, good teamwork and positive collaboration attitude. Prior relevant industrial or research experience, or published papers in related domains is a significant plus.

What we offer

• Meaningful and inspiring environment. We are proud of our purpose to shape a sustainable future. We spark the game changers of tomorrow, and renew society with research-based knowledge, creativity and an entrepreneurial mindset.

• Culture that inspires and includes everyone. All our work is guided by the values of the university: responsibility, courage, and collaboration.  It’s the people that create Aalto, now and in the future. We want to be an open community where equality and inclusion enable curiosity, innovation, collaboration and wellbeing.

• Responsible and meaningful role with true impact in our University’s/ School’s success, and in the end, in the wellbeing and development of our society.

• Support, coaching and sparring when you feel you need it.

• Great possibilities for competence development and learning. We constantly keep learning to find the most impactful ways to empower – and invest in – our people.

Aalto University follows the salary system of Finnish universities. The salary for a Research Assistant (master student level, BSc required) is 2250 EUR/month, while for master thesis worker it is 2500 EUR/month.

We offer a wide range of staff benefits, such as occupational health care, excellent sports facilities on campus, and several restaurants and cafés on campus with staff discounts. The position is located at the Aalto University Otaniemi campus, which is a thriving and connected community. Life at the transformed campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services and good connections along the metro line.

Join us!

To apply, please share the following application materials in English with us through our recruitment site ("Apply now!”) no later than 14 May 2025:

• A motivation letter (1 page)

• CV – which includes list of publications, and link to personal Git repository (e.g., github, gitlab, bitbucket) if any (max 4 pages)

• Description of BSc thesis project (max 1 page)

• Latest transcripts and study plan (bachelor and master degree)

We will go through applications as they arrive, we reserve the rights to invite suitable candidates to interview already during the application period and may decide to hire suitable candidates before the application deadline. We aim to have a transparent and equal recruitment process, so feel free to ask us for feedback.

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 reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period.

For more information

For further details, please contact Staff Scientist Dr Udayanto Dwi Atmojo (udayanto.atmojo@aalto.fi) or Professor Valeriy Vyatkin (valeriy.vyatkin@aalto.fi). For submission related queries, contact HR Advisor Johanna Haapalainen (hr-elec@aalto.fi).

About Aalto

Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto. Check out our new virtual campus experience: https://virtualtour.aalto.fi/

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity

To view information about Workday Accessibility, please click here.

Please see more of our Open Positions here.