Doctoral students in Algorithms and Data Analysis - Hiring in process/Finished, not possible to apply

Project description

We are looking for up to two highly qualified and motivated individuals to pursue a Ph.D. in the algorithms and data analysis. The prospect PhD students will join a research team in KTH led by assistant professor Stefan Neumann. The research team develops practical data science algorithms with provable guarantees, by leveraging theoretical insights to obtain state-of-the-art practical algorithms. Currently, we have a focus on graph algorithms for social-network analysis, as well as on community detection in graphs. We are also interested in developing efficient data structures for subroutines that appear in data science algorithms. The positions have a strong theory flavor, and the students will spend a big part of their work analyzing algorithms theoretically. Several directions of the project are possible and will be determined in collaboration with the Ph.D. candidate.

Successful applicants should have an outstanding academic track record, as well as a strong background in algorithm design, mathematics (especially probability and optimization), and/or machine learning. We are looking for doctoral students who are highly ambitious and whose goal is to publish papers at internationally leading computer science conferences.

The advertised positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). The successful applicants will be part of the WASP graduate school, which includes study visits abroad, as well as funding opportunities for international research visits.

Third-cycle subject: Computer Science

Supervision: Assistant Professor Stefan Neumann

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.

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, 
• analyse and work with complex issues and
• present a good command of English orally and in writing since its is required to publish and present results at international conferences.

Applicants shall have a strong background in algorithm design, mathematics (especially in probability and optimization), and/or machine learning is expected.
The successful applicant is expected to have experience implementing algorithms in a modern programming language (for instance, Python, Julia or C++).

Previous participation in International Mathematical Olympiads and/or International Olympiads in Informatics is an asset.

The successful applicant is a strongly motivated person with an outstanding academic track record, who has the ability to work independently.

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

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/Central 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.