Ph.D. students in robust learning of dynamical nonlinear stochastic models - Hiring in process/Finished, not possible to apply

Project description

System identification, or learning of dynamical models, treats how to construct models of dynamical systems based on sensor information. The area is multidisciplinary, involving mathematical statistics, machine learning, and systems and control theory. The methods are in widespread use in many application domains such as biotechnology, electrical engineering, and mechanical engineering.

Disturbances affecting the measurements is a fundamental problem as they can severely deteriorate the accuracy of the model. While there exists algorithms that can minimize the impact in an optimal way, they are computationally very expensive, especially for non-linear dynamical models.

The aim in this project is to develop less computationally demanding algorithms, which have only marginally worse accuracy compared to the optimal ones. These algorithms should also be robust, meaning that they should be less sensitive to non-ideal settings and require less a prior information. Statistical analysis of the theoretical properties of the developed algorithms is an important ingredient of the project. The project offers rich possibilities to explore the intersection between control theory, mathematical statistics and machine learning for theoretically inclined PhD students. 

Third-cycle subject: Electrical Engineering

Supervision: The project is financed by the Swedish Research Council and it is planned that Prof. Håkan Hjalmarsson will be main supervisor.

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.Read more
• 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.

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

Admission to third-cycle studies in Electrical Engineering requires the applicant to have completed courses equivalent to at least 120 higher education credits from second-cycle studies or higher in the subject Electrical Engineering or other subjects deemed directly relevant to the specialization in question. These requirements will also be considered fulfilled by applicants who have acquired the equivalent knowledge through other means. Normally, a master’s degree in the relevant research domain fulfills these requirements.

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

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
• analyse and work with complex issues.

The successful candidates will hold a Master of Science (or equivalent, e.g. Civilingenjör in Sweden) in Electrical Engineering, Computer Science, Engineering Physics, Engineering Mathematics, or Mechanical Engineering, with a profile in Control Theory, Signal Processing, Robotics or Machine Learning.

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

Contact information KTH's website.

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

Contact information section's website.

Application

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/entral European Summer Time).

Applications must include:

• CV including your relevant professional experience and knowledge.
• Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
• 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 please read here.

We firmly decline all contact with staffing, 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.