Doctoral student in machine learning for traffic optimization

Project description

Third-cycle subject: Electrical Engineering

The Division of Decision and Control Systems is currently looking for a doctoral student with a strong background and interest in machine learning, mathematics, and traffic models. The successful candidate will join a world-renowned team on an interdisciplinary project to advance machine learning models for tackling complex traffic problems. We are pioneers in traffic estimation using physics-informed machine learning and we ambition to leverage this technique for enhancing traffic flow forecasting, optimizing vehicle routing and scheduling, and improving last-mile delivery in real-world traffic scenarios.

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s
largest individual research program ever, a major national initiative for strategically
motivated basic research, education and faculty recruitment. The program addresses 
research on artificial intelligence and autonomous systems acting in collaboration
with humans, adapting to their environment through sensors, information and
knowledge, and forming intelligent systems-of-systems.
The vision of WASP is excellent research and competence in artificial intelligence, 
autonomous systems and software for the benefit of Swedish society and industry. 
Read more: https://wasp-sweden.org/ 

Read more: https://wasp-sweden.org/graduate-school/

Supervision: Assistant Prof. Matthieu Barreau and Prof. Jonas Mårtensson

What we offer

• The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world.
• A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
• A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
• Help to relocate and be settled in Sweden and at KTH.

• The Division of Decision and Control Systems conducts fundamental research in networked control systems, cyber-physical systems, system identification, and transport systems. Industrial projects involve partners such as Hitachi Energy, ABB, Ericsson, and Scania. A major part of the research is conducted within the framework of the Wallenberg AI, Autonomous Systems and Software Program (WASP, https://wasp-sweden.org/). We have a large academic network and collaborate with researchers at Caltech, MIT, UC Berkeley, Stanford, among others.

  For more information, see https://www.kth.se/is/dcs/.

Admission requirements

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

• passed a second cycle degree (for example a master's degree), or
• completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
• acquired, in some other way within or outside the country, substantially equivalent knowledge

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

Selection

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

• independently pursue his or her work
• collaborate with others,
• have a professional approach and
• analyze and work with complex issues.

After the qualification requirements, great emphasis will be placed on personal competency. 

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.

Union representatives

You will find contact information for union representatives on KTH's website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section's website.

To apply for the position

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).

Applications must include the following elements:

• CV including your relevant professional experience and knowledge.
• Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages. Copies of originals must be certified.
• Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process.

The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

About KTH

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more here

1. Prof. Jonas Mårtensson, jonas1@kth.se
2. Assistant Prof. Matthieu Barreau, barreau@kth.se
3. HR Viktor Söderlund, rekrytering@eecs.kth.se