Aalto University is an international 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 20 000 people, over 400 of which are professors. Our campus is located in Espoo, Finland. The School of Engineering is an international unit with nearly 70 talented professors and 3400 full-time students, including doctoral students.
Aalto University School of Engineering, Department of Built Environment, invites
Open applications for Doctoral Researchers in Future Network and Traffic Management
The Spatial Planning and Transportation Engineering research group is seeking highly motivated and creative doctoral students who would undertake research in Future Network and Traffic Management, with special emphasis on multimodal network traffic estimation, accounting for the presence of novel technologies for data collection, simulation, and prediction, such as drones, (mobility) digital twins, and artificial intelligence. The doctoral student will join a multidisciplinary research project and conduct research on developing novel network and traffic estimation strategies, at the local and/or network level, considering the, possibly new, inputs that future systems may have. The research will have a strong dynamical modelling and simulation component, where novel data-driven-based models and tools (including machine learning and artificial intelligence) may play a fundamental role.
The position should start by summer 2023 and is intended for full-time work. The selected individuals will work under the supervision of Professor Claudio Roncoli. The successful applicant will have the possibility to cooperate with world-class researchers, as well as to attend scientific conferences and meetings. Moreover, the research group provides strong support and academic freedom, with possibilities for interdisciplinary collaboration, both internationally and within Aalto University. Our group strives to achieve gender balance and the applications will be processed without any bias.
Research areas, requirements, and expectations
The doctoral student is expected to conduct research in one or more of the following areas:
- Multimodal traffic estimation and control
- Dynamical system modelling (including data-driven and AI-based) of traffic systems
- Data analytics involving large amounts of heterogeneous data
A prospective student is expected to fulfil the following requirements:
- Timely completion of a Master’s degree in one of the following (or related) fields: Transportation Engineering, Electrical Engineering, Computer Science, Operations Research/Systems Engineering, or Statistics/Mathematics/Physics
- Knowledge of quantitative methods used in engineering, with special emphasis on data-driven methods (including machine learning and artificial intelligence), and skills in applying such methods to solve engineering problems
- Good programming skills
- Ability to work in a team
- Willingness to learn
- Very good English proficiency
The applicant is expected to:
- Publish in top journals and scientific conferences
- Participate in research proposal preparation
- Guide master's students
- If applicable, teach in the master’s programme
Note that a Postdoctoral Researcher position, with a similar profile, is available at:
https://www.aalto.fi/en/open-positions/doctoral-researchers-in-future-network-and-traffic-management.
Duration, financing, and salary
The doctoral studies at Aalto University take approximately 4 years. The doctoral degree is granted after writing a relatively short summary doctoral thesis (which is typically based on the student’s publications) and public defence.
Currently, the starting gross salary for doctoral students is around 2500€ per month and is increased in with the progress towards getting the doctoral degree to over 3000€ per month. The prospective doctoral students will be granted a one-year contract first, followed by an evaluation and extension after two years for another two-year period depending on the achievements during the contractual periods. Working hours are flexible and there is possibility of working remotely for a few days a week. However, presence in Finland for the duration of the contract is compulsory. The contracts include occupational health services, and Finland has a comprehensive social security system. Among European cities, Helsinki is special in being safe, clean, and close to nature, with a high quality of life. English is spoken everywhere. For more information about living in Finland:
https://www.aalto.fi/en/careers-at-aalto/for-international-staff.
How to apply
Applicants must have completed a Master’s degree in a related field. Proficiency in English is mandatory.
To apply, an application must include:
- Motivation letter with contact information and preferred starting date (max one A4 page)
- Description of research interests for the dissertation (max two A4 pages)
- CV and contact information for 2 reference persons (max two A4 pages)
- Summary of the Master’s Thesis (max one A4 page)
All material should be submitted in English in a single pdf-file (compiled in the order specified above). The application should be sent through the Workday system (link “Apply now!” below) no later than
10 February 2023 at 23:59 EET (UTC+2) . Email applications will not be taken into account.
Aalto University’s employees and visitors should apply for the position via our internal HR system Workday (Career - Find jobs - Apply) by using their existing Workday user account.
Aalto University reserves the right to leave the position open, extend the application period, and consider candidates who have not applied during the application period.
For more information
General information about doctoral studies at Aalto University can be found on the “Into” page (
https://into.aalto.fi/display/endoctoraleng/How+to+apply). For additional information, please contact Assistant Professor Claudio Roncoli. For recruitment process-related questions please contact HR Coordinator Heidi Lehtinen. E-mails:
firstname.lastname@aalto.fi.
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