Doctoral candidate (f/m), Helsinki

Doctoral candidate in Smart Mobility and Connected Vehicles

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 campuses are located in Espoo and Helsinki, Finland.

A full-time doctoral candidate position in the area of smart mobility and connected vehicles is available in the Department of Built Environment, at the School of Engineering, Aalto University. The doctoral candidate position is fixed-term, available from October 2018, and filled initially for one year with an option for extension until the end of 4-year PhD studies. As a doctoral candidate at Aalto University, the successful candidate will have access to an outstanding PhD program, with very competitive salary and benefits. The candidate will join a research project funded through support from the Henry Ford Foundation Finland.

Research context
Advances in in-vehicle sensing, processing, and communication technology in the last decades are enabling rapid development of connected vehicle technology and related smart mobility services. This represent an attractive opportunity to develop future methodologies and technologies aiming at improving the performance and efficiency of vehicles, accounting for traditional and novel indicators, the in-vehicle experience of users, as well as the performance of the overall traffic system, both at local and network level.

The doctoral candidate will join a multidisciplinary research project and conduct research on analysing and modelling the implications of intelligent vehicles on traffic flow on roads and networks, with the aim of developing novel traffic management strategies. The research will have a strong modelling and simulation component, based also on empirics wherever possible using our instrument vehicles. The doctoral candidate will be encouraged to cooperate with colleagues within Aalto University, but also across the world. In particular, she/he will have opportunities for research collaboration with peers from TU Delft, Virginia Tech, and UC Berkeley.

A prospective student should have a Master’s degree in one of the following (or related) fields:
- Transportation Engineering;
- Electrical/Communications/Mechanical Engineering;
- Computer Science;
- Statistics/Mathematics/Physics;
and must be accompanied by an in-depth understanding of her/his field of expertise, excellent programming skills, fluency in English, experience with scientific writing, skills for active reporting, and interaction with other project members. Special emphasis in the evaluation will be placed on modelling and analysis skills. 

In a maximum of four years, the doctoral candidate is required to 1) complete the doctoral dissertation based on peer-review publications (accepted and submitted), 2) finish relevant courses for 40 ECTS credits and 3) participate in teaching. The applicant must fulfil the requirements for entitlement to do postgraduate studies at Aalto University: <link https: display endoctoraleng>

Additional benefits
The doctoral candidate will be supported to participate in international conferences, studies and research at other departments/universities. Moreover, she/he will receive strong support in developing knowledge and competencies for success in the future career, either in academic or non-academic sector.

More information
General information about doctoral studies at Aalto University can be found at the “Into” page (<link https: display endoctoraleng> For further details, contact Assistant Prof. Claudio Roncoli (claudio.roncoli[at], or, in questions related to the recruitment process, HR Coordinator Kirsi Kärkkäinen (6 August onwards) (kirsi.karkkainen[at] 

How to apply
Required application documents (pdf files and in English):

  1. CV including list of publications or manuscripts in preparation, as well as evaluation of modelling/analysis software and skills.
  2. A copy of master's and bachelor's degree certificate and official transcript of records, and their translations, if the originals are not in Finnish, Swedish or English. (Minimum average grading requirements:  <link https: display endoctoraleng> Students graduating in autumn 2018 are also encouraged to apply.
  3. Statement describing previous knowledge, previous research experience, motivation and self-assessment of suitability for doctoral studies, and suggestion of area(s) of research interest (max 2 pages).
  4. Proof of proficiency in English if the applicant is not a native speaker or educated in this language. (Language skill proof requirements: <link http: en studies admissions tech masters_degree language_requirements>
  5. Minimum one recommendation letter from a previous supervisor or research collaborator.

The applications for the doctoral candidate position are to be submitted through the eRecruitment system ('Apply for this job' below) by September 12, 2018.

General information for international candidates: <link http: en about careers international_staff>

In Espoo, August 2, 2018

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