Research Assistant in Reinforcement Learning and Language Model for Ship Energy optimization

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.

We are seeking a highly motivated and talented Research Assistant or Master thesis worker to join our team and contribute to a strategic research project.

Your role and goals

You will work on a project that involves investigating a method based on reinforcement learning and language model for ship energy optimization. You will work on developing a proof of concept based on this method, connect with an accurate simulation model of energy resources – particularly Heating, Ventilation, and Air conditioning (HVAC) and energy storage models such as battery, and train, test, and finetune this proof of concept utilizing data from this simulation model so it performs the optimization well.

You will work together with more senior researchers, and have the opportunity to interact with relevant industries involved, giving you a chance to build crucial connections and networking for your future career.

Your experience and ambitions

You should be enrolled at Aalto University as a master’s degree student who studies computer science, advanced energy systems, data science, or related areas. A good proficiency in English is required to work in this position. Due to the requirement of the research topic, the candidates must be able to work on-site.

We expect candidates to have some background and interest in artificial intelligence, particularly reinforcement learning and (large) language model. You shall have the necessary background to develop the proof of concept, hence experience in software development (e.g., Python) is essential.

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.

• 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.
   

The position is a fixed-term position for a maximum of six months from January to June 2025, or as mutually agreed.
 

Aalto University follows the salary system of Finnish universities. The starting (gross) salary for a Research assistant is approximately 2100 EUR/month, while the salary of a Master thesis worker is approximately 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.
 

Join us!

To apply, please share the following application materials in English with us through our recruitment site ("Apply now!”) no later than 10 December 2024:

• 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’s and master’s degree)
   

We will go through applications as they arrive, we reserve the right 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 and visitors should apply for the position via our internal system Workday à Internal Jobs by using their existing Workday user account.

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 ([email protected]) or Professor Valeriy Vyatkin ([email protected]). For submission related queries, please contact HR Partner Camilla Hanganpää ([email protected]).

More about Aalto University:

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