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Job ID: 188177

Doctoral Researcher in Adaptive and Learning Traffic control
Aalto University


Date Posted Jun. 28, 2022
Title Doctoral Researcher in Adaptive and Learning Traffic control
University Aalto University
, Finland
Department T213 Built Environment
Application Deadline Open until filled
Position Start Date Available immediately
 
 
  • Graduate Student
  • Transportation Engineering
    Industrial & Systems Engineering
    Electrical and/or Electronics
    Computer Science
 
 
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. 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 researcher in Adaptive and Learning Traffic control

The Spatial Planning and Transportation Engineering research group is seeking a highly motivated and creative doctoral researcher who would undertake research in Adaptive and Learning Traffic Control, with special emphasis on network traffic management, accounting for the presence of future mobility services and connected automated traffic. The doctoral researcher will join a multidisciplinary research project and conduct research on developing novel traffic estimation and control strategies, at local and/or network level, considering the, possibly new, inputs (and outputs) that future traffic systems may have. In particular, the integration of hard and soft management measures, where the latter includes, for example, pricing and nudging strategies, will be considered in this research. 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 autumn 2022 and is intended for full-time work. The selected individuals will work under the supervision of Assistant 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.

Research areas, requirements, and expectations
The doctoral researcher is expected to conduct research in one or more of the following areas:
  • Road traffic estimation and control
  • Dynamical system modelling of traffic systems
  • AI-based modelling and data-driven control applied to future traffic systems
  • Decentralised and coordinated multi-objective optimisation applied to future traffic systems


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://aalto.wd3.myworkdayjobs.com/aalto/job/Otaniemi-Espoo-Finland/Postdoctoral-Researcher-in-Future-Traffic-Management_R33991-4

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 researchers is around 2500€ per month and is increased in with the progress towards getting the doctoral degree to over 3100€ per month. The prospective doctoral researcher 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. 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” below) by 26 July 2022. Email applications will not be taken into account. Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) 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, Claudio.roncoli@aalto.fi

More about Aalto University:
Aalto.fi
twitter.com/aaltouniversity  
facebook.com/aaltouniversity
instagram.com/aaltouniversity

 
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Contact Information

 
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