Doctoral student in Scalable and Distributed Reinforcement Learning - Hiring in process/Finished, not possible to apply

Project description

Third-cycle subject: Electrical engineering

The Division of Decision and Control Systems is currently looking for up to two doctoral students with a strong background and interest in mathematics (statistics and probability theory) and machine learning. The successful candidates will work on a recently granted national Reinforcement Learning (RL) project. In the project, we will develop new theories and methods for the design of faster and more robust RL algorithms. The Doctoral program in Electrical Engineering provides world-class quality education, including a large list of graduate courses ensuring an in-depth development of relevant competencies and skills.

Supervision: Prof. Alexandre Proutiere is proposed to supervise the doctoral student. Decisions are made on admission.

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.
• Work and study in Stockholm, close to nature and the water.
• Help to relocate and be settled in Sweden and at KTH.

KTH offers an attractive working environment, generous remuneration, as well as other employment benefits. As a doctoral student at KTH, you have many opportunities to participate in conferences, projects, and other relevant events which will extend your professional network and benefit your future career.

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 (120 for the subject Electrical Engineering), 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, 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.
• To be eligible for this position, candidates must have an MSc degree in engineering physics, electrical engineering, computer science, or mathematics.
• A specialization in statistics/probability, algorithm design, or machine learning is an asset.
• The successful applicant should have an outstanding academic track record, and well developed analytical and problem solving skills. We are looking for a strongly motivated person, who is able to work independently.
• Good command of English orally and in writing is required to publish and present results at international conferences and in international journals.

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. In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.

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.

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/Central European Summer Time).

Applications must include the following elements:

• 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.
• 1-3 letters of recommendation.
• Contact information for two reference persons. We reserve the right to contact references only for shortlisted candidates.

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 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.