The group of Information Technology in Automation in the Department of Electrical Engineering and Automation applies information technologies such as machine learning, digital twins and Industrial Internet to solve topical problems in diverse application areas in industry and critical infrastructure.
The Doctoral Student Position
The position is a fully funded PhD student position and the selected person will be appointed for a fixed term starting as soon as possible. The work will be done under supervision of Professor Valeriy Vyatkin. The candidate is expected to complete the academic enrolment to the doctoral program of Aalto school of Electrical Engineering (ELEC). The position is related to a Business Finland funded project, applying machine learning to develop advanced features to virtual power plants. The project will end in September of 2021, and the initial contract’s duration will be limited to this date. However, new projects in this area are expected, and the intention is to continue the employment of the student in these projects, aiming at completion of the PhD in 4 years.
Virtual power plants aim to trade smart energy resources profitably on available energy markets. The project is done in close collaboration with industry. The PhD student will benefit from industrial state-of-the-art case studies, and work as part of a developer community.
In addition to research work, persons hired are expected to participate in supervision of students and teaching, following the standard practices of the department.
What we are looking for
What you get
The starting salary for a doctoral student position is 2 518 € with pay raises according to progress in studies and publications. In addition to the salary, the contract includes occupational health care and other benefits, and Finland has a comprehensive social security system. The annual total workload of teaching staff at Aalto University is 1 624 hours. The position is located at the Aalto University Otaniemi campus right next to the Aalto University metro station, 15 min by metro from downtown Helsinki. For more information about Aalto University and its international rankings, please visit:
Application material and procedure
Please apply through the electronic recruitment system link Apply now!, no later than January 31, 2020, Finnish time. Early submission is strongly encouraged, as applications will be processed and evaluated upon arrival, and the position may be filled before the call closes. Include your CV, publication list and names and contact information of two senior academics willing to give more information.
Short-listed candidates may be invited for an interview on the Otaniemi campus of Aalto University in Espoo or for an interview conducted via Skype. Should there be a lack of eligible outstanding applicants, Aalto University reserves the right to leave the position open, to extend the application period, or to consider candidates who have not submitted applications during the application period.
HR Coordinator Jaana Hänninen, e-mail "firstname.lastname@example.org" (application process, practical arrangements)
Docent, University lecturer Seppo Sierla, e-mail "email@example.com" (research related information, thesis advisor)
Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto University has six schools with nearly 11 000 students and nearly 400 professors. Our campus is located in Espoo, Finland.
The greater Helsinki region is a world-class information technology hub, attracting leading scientists and researchers in various fields of computer science. Helsinki is regularly highly graded in world city rankings, such as global livability ranking by The Economist (Ranked 16th in 2018).Continue reading
|Title||Doctoral Student Position (Information Technology in Automation)|
|Job location||Lämpömiehenkuja 2, 02150 Espoo|
|Published||November 22, 2019|
|Application deadline||January 31, 2020|
|Job types||PhD  |
|Fields||Information Science,   Computer Communications (Networks),   Programming Languages,   Software Engineering,   Control Systems Engineering,   Machine Learning  |