AdressWe are looking for highly-qualified and motivated individuals to pursue a PhD in the area of data science. The prospect PhD students will join a research team in KTH led by Professor Aristides Gionis. The research team focuses on developing novel methods to extract knowledge from data, modeling large-scale complex systems, and exploring new application areas in data science. Areas of interest include but are not limited to models and algorithms for knowledge discovery, novel algorithmic and statistical techniques for big data management, optimization for machine learning, analysis of information and social networks, fairness, accountability, and transparency in learning systems.
The advertised positions are funded by Wallenberg AI, Autonomous Systems and Software Program (WASP), 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 industry.
Third-cycle subject: Computer Science
Supervision: Prof. Aristides Gionis
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
Selection
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
- analyse and work with complex issues,
- demonstrate good communication skills,
- be proficient in communicating in English, spoken and written,
- demonstrate strong implementation skills and
- experience with managing large-scale data.
Applicants must hold or be about to receive a Master of Science degree in computer science, data science, or a related area, and have strong background in algorithmic design, data mining, machine learning, and combinatorial optimization.
Doctoral students are expected to be able to publish high-quality papers and develop research prototypes.
Applicants must have strong academic credentials.
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, 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
The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible 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.
