Assist. prof. Computer Science, specialization algorithms and data analysis
|Workplace||Stockholm, Södermanland, Sweden|
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School of Electrical Engineering and Computer Science at KTHKTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is 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.
Subject fieldComputer science with specialization in algorithms and data analysis
Subject descriptionThe subject consists of the mathematical and computational foundations of data analysis, with emphasis on the underlying theory to distill knowledge from large complex datasets. This includes but is not limited to models and algorithms for knowledge discovery, novel computational methods for big data management, optimization for machine learning, analysis of information networks and social networks, methods for explainable machine learning and AI, fairness, and transparency in learning systems.
DutiesThe work primarily consists of research and supervision of doctoral students within the subject field. The assistant professor will be expected to establish and lead a research group in the subject field. In addition, it is expected that the assistant professor will apply for research funding, as well as establish industrial and academic collaborations both nationally and internationally. The position also includes developing and teaching first-, second- and third-cycle courses within the subject field.
The assistant professor will be given the opportunity to develop independence as a researcher and acquire qualifications that can give eligibility for promotion to associate professor, for which higher requirements are set for eligibility (see Chapter 4, Section 12 a of the Higher Education Ordinance). The assistant professor may apply for promotion to associate professor in accordance with Chapter 4, Section 12 c of the Higher Education Ordinance.
EligibilityFor eligibility to be employed as an assistant professor, a person must have completed a doctoral degree or have equivalent scientific competence. Primarily, those who have completed a doctoral degree or have reached the corresponding competence no more than five years before the time of applying for the position as assistant professor has expired will be considered. Even those who have completed a doctoral degree or have achieved equivalent competence before may, however, be considered if there are special reasons. Special reasons refer to leave due to illness, parental leave or other similar circumstances.
Grounds of assessment
The assessment criteria for employment as an assistant professor at KTH are the assessment criteria stated in section 1.3. in KTH’s employment regulations in relation to the established employment profile.
Of highest importance is that the applicant has
Of second highest importance that the applicant has
It is also important that the applicant has
Special assessment criteria for promotion to associate professor
When assessing applications for promotion to associate professor, the applicant’s ability to independently initiate and carry out research of high academic quality, published in international publications, and the applicant’s ability to obtain financing for research operations will be assessed. Of highest importance is the applicant’s ability to independently establish new collaborations and research specializations. It is also of highest importance that the applicant has displayed teaching and supervising expertise. Ability to teach in Swedish is a merit that is given great importance in the application for promotion.
Trade union representativesContact information to trade union representatives can be found at KTH’s web page .
ApplicationYour application should follow KTH’s CV template for employment of teachers . It is the responsibility of the applicant to ensure that the application is complete according to the requirements in the ad and CV template.
Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
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OtherTime limitation: The appointment is for an indefinite term, but no more than six years, and may be extended if, due to the teacher’s absence due to sick leave, parental leave or other special grounds, more time is required to reach the objectives of the appointment. However, the total appointment period may not exceed eight years. The appointment is part of the Tenure Track system at KTH and the assistant professor may apply for promotion to tenured associate professor.
For more information regarding KTH’s assessment, see Appointments procedure at KTH
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment
Temporary position longer than 6 months
First day of employment
As soon as possible
Number of positions
Last application date
15.Sep.2022 11:59 PM CEST
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In your application, please refer to myScience.org and reference JobID 2311620.
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