Post-doctoral positions in distributed estimation and control, physics-driven machine learning, and quantum computing

Aalto University


June 19, 2022


Current and future autonomous systems, learning systems, robots, and various other intelligent (AI) systems in areas such as transportation, aviation, and healthcare require the interaction of machine learning with estimation and control theory, physics, and distributed computing. The Sensor Informatics and Medical Technology research group works in this intersection of the disciplines to produce significant research results both in fundamental and applied level. The group carries out original high-quality research and continuously publishes in top journals and conferences of the field. We have an extensive international collaboration network, which will facilitate the mobility of our researchers to leading research groups abroad, and vice versa. Our group is located at the Department of Electrical Engineering and Automation at Aalto University in Espoo, Finland. We are also affiliated with the Finnish Center for Artificial Intelligence (FCAI, https: //

We are looking for highly motivated candidates who are excited about distributed estimation and control, physics-driven machine learning or quantum computing, and who can contribute to developing various kinds of AI-assisted framework and tools. Potential projects include but are not limited to:

  • development of fast distributed and parallel computing methods for state estimation, control, and machine learning. Applications include tracking systems, model predictive control, and health technology.

  • physics-driven machine learning which combines physical models (e.g. differential equations) with neural network and Gaussian process models. Applications include meteorological forecasting, industrial processes, and various AI systems.

  • development of quantum machine learning algorithms (e.g. quantum Gaussian processes) in collaboration with VTT's quantum computing experts who are developing quantum computer hardware.

  • Requirements:

  • at least PhD or equivalent in mathematics, computer science, control, physics, electrical engineering, statistics, or related field

  • knowledge in statistical inference, state estimation, machine learning, control theory, quantum computing, or physics

  • proficiency in programming languages used in scientific computing, such as, Python, Matlab, or Julia

  • excellent English skills (written and oral)

  • strong publication record is considered as a plus

  • As a person, we hope that you are:

  • an enthusiastic technical writer

  • proactive

  • comfortable with working in multi-disciplinary and international teams

  • eager to learn

  • a team player

  • The expected starting salary for a postdoctoral researcher is approximately 3700 € per month. In addition to the salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. The position is located at the Aalto University Otaniemi campus which can be easily reached by public transport.

    Ready to apply?

    Please submit your application through our recruiting system using the "Apply now!" link below. Please be prepared to add the following attachments:

  • motivation letter describing why you want to work with us (e.g. which publications you liked?)

  • CV (please highlight any open source, publications, or other projects that are relevant)

  • names and contact information (email) of at least two references

  • list of publications

  • doctoral degree certificate (if available)

  • a link to electronic copy of Ph.D. Thesis (if available)

  • links to electronic copies of 1-2 most relevant publications

  • Application period closes on June 19, 2022, but we will start reviewing candidates immediately. Applications will be considered until the position(s) are filled.

    Additional information

    For more information about the position, please contact Prof. Simo Särkkä (https: // email: In recruitment process related questions, please contact HR Coordinator Camilla Hanganpää,

    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 12 000 students, 400 professors and close to 4 000 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.

    The School of Electrical Engineering promotes high-quality science, technology and innovations for the benefit of the Finnish society and all of humankind. In our research environment, the natural sciences, engineering and information technology intertwine to form smart systems and innovations that save energy and promote well-being. With our research, we seek to respond to many challenges posed by sustainable development and the results are applied, for example, in mobile devices, electrical networks, health care and in satellites. The school's special strength is linking the research with the Finnish and international business sector. We have around 2000 students in total, and around 250 master's and 50 doctoral degrees annually. Our personnel consists of 700 people with over 70 professors.

    More about Aalto University:

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