KTH 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.
The School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology invites applications for a newly created position as assistant professor in Intelligent Systems with specialization in Machine Learning supported by the Wallenberg Autonomous Systems Program (WASP), a 10 year research program funded by a 1.300 MSEK donation by the Knut and Alice Wallenberg Foundation, and with additional 500 MSEK funding provided by industry and participating universities.
Intelligent Systems with Specialization in Machine Learning
Machine Learning is a subfield of Intelligent Systems and Artificial Intelligence, which concerns the development and analysis of algorithms that learn from data.
The work consists in developing KTH’s research and education in the theoretical foundations within the subject field. The duties comprise supervision of PhD students and postdoctoral researchers, and establishment of research collaborations within and outside of KTH. Other duties are education in subjects in the first and second cycles at the Department of Intelligent Systems; for example courses in Artificial Intelligence, Machine Learning, Reinforcement Learning or Deep Learning. Moreover, the assistant professor should interact with industry and society, and is expected to contribute to the activity within the WASP program and its national activities.
The assistant professor will be given opportunity to develop their independence as researcher and gain accreditation that may allow them to take other teaching positions with higher eligibility requirements (see Chapter 4, Section 12 a of the Higher Education Ordinance). Following application, the assistant professor can apply for promotion to associate professor in accordance with Chapter 4, Section 12 c of the Higher Education Ordinance.
An individual who has obtained a PhD or equivalent research expertise is qualified for appointment as an assistant professor. Candidates who met those qualifications within five years prior to expiration of the application period should be prioritized. Other candidates may also be considered if there are extraordinary grounds for doing so. Extraordinary grounds refer to illness, parental leave or similar circumstances.
Grounds of assessments
The assessment criteria for appointment as an assistant professor at KTH are stated in KTH's appointments procedure section 1.3, and apply in relation to the employment profile laid down.
Of highest importance is that the applicant has
Of second highest importance is that the applicant has
It is also important that the applicant has
Special grounds of assessment 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.
Trade union representatives
Contact information to trade union representatives can be found at KTH:s web page.
Your 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).
Log into KTH recruitment system in order to apply to this position.
Time 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
Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.
For information about Processing of personal data in the recruitment process please read here.
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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
|Titel||Assistant Professor in Intelligent Systems with spec. in Machine Learning|
|Employer||KTH Royal Institute of Technology|
|Job location||Valhallavägen 79, 100 44 Stockholm|
|Publicerad||november 18, 2019|
|Sista ansökningsdatum||mars 2, 2020|
|Ämnen||Algoritmer,   Artificiell intelligens,   Informationssystem (affärsinformatik),   Maskininlärning,   Pedagogik inom teknik  |