Doctoral student in optimization and learning in edge computing - Hiring in process/Finished, not possible to apply

Project description

The Division of Network and Systems Engineering is looking for a doctoral student with a very strong background and interest in system modeling, optimization, and machine learning. The successful candidate will join a project on developing rigorous, novel tools for the fundamental understanding and engineering design of resilient algorithms for the optimization of distributed network infrastructures. In particular, the focus will lie on the development of algorithms that include machine learning components, within the framework of the TECoSA competence center at KTH. 

The Division of Network and Systems Engineering conducts fundamental research in networked systems, wireless communications and cyber security. Industrial projects involve partners such as Ericsson, Atlas Copco and Telenor. Part of the research is conducted within the framework of the Wallenberg AI, Autonomous Systems and Software Program and in Digital Futures. We have an extensive academic network and collaborate with researchers at MIT, UIUC, Stanford, EPFL, among others.

For more information: www.kth.se/nse.

Third-cycle subject: Computer science

Supervision: Prof. György Dán and Prof. Viktoria Fodor as co-advisor.

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

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) in the subject Computer science, or
• completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits in the subject Computer science, or
• acquired, in some other way within or outside the country, substantially equivalent knowledge

Normally, a master’s degree in the relevant research domain fullfills these requirements. 

Applicants are also expected to be able to read and write scientific texts in English, as well as being able to communicate verbally in English, as it is required in daily work.

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

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 on their ability to:

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

In the evaluation of candidates, great emphasis is placed on study results and completed courses. An earlier specialisation in optimization and/or mathematical statistics and/or machine learning is highly desirable and especially meritorious.

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

KTH's website

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

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.
• Application letter with a brief description of why you want to pursue research studies, 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.
• Contact information to at least three references.

Other information

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

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 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.