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For strengthening its profile in ICT wireless communications and computer engineering at international level, the University of Oulu announces the following tenure track Assistant Professor position for highly talented individuals who hold a doctoral degree and have excellent potential for a successful scientific career:
Assistant or Associate Professor Position in Machine Learning for Wireless Systems
The position is directed to investigate design of fundamental theory and algorithms of machine learning applied in wireless communications and networks, its applications in sensing, and massive distributed networked applications. The tenure track position is open to highly talented researchers who hold a doctoral degree and have an excellent potential for an outstanding scientific career, and master one or more of the above-mentioned research topics. Furthermore she/he should be able to raise funding to build her/his research group within a few years supplementing the research portfolio of the faculty, research unit and 6G Science Flagship.
The position will start as tenure track from June 1, 2021, or later according to mutual agreement with the successful applicant. The successful researchers appointed to a tenure track position may advance in their career through the tenure track process.
The position is placed Faculty of Information Technology and Electrical Engineering (ITEE, http://www.oulu.fi/itee). The position can be placed in one of the following Research Units of ITEE depending on the elected candidate profiles: Center for Machine Vision and Signal Analysis (CMVS) (https://www.oulu.fi/cmvs/), Centre for Wireless Communications (CWC) – Radio Technologies (RT), Centre for Wireless Communications – Networks and Systems (NS) (http://www.oulu.fi/cwc). The position is initially funded by the national Science Flagship focusing on 6G Technologies (https://www.oulu.fi/6gflagship/).
A person at any level of the academic tenure track system is expected to conduct outstanding world-class scientific research, to be competitive in attracting external funding, to publish in leading journals, to supervise doctoral students, to be an active member of the international scientific community, to create and teach related BSc and MSc level courses, and to exhibit academic leadership.
The position of an Assistant or an Associate Professor is initially a fixed-term position for five years. Career advancement in the tenure track system is based on assessments of the candidate’s performance and merits. The advancement assistant professor – associate professor is described in the University of Oulu Tenure Track guidelines: http://www.oulu.fi/university/node/38379.
Being granted continuation for the position requires meeting the below-mentioned criteria as well as successful research work as indicated in the University of Oulu Tenure Track guidelines.
Required Qualifications at Assistant Professor and Associate Professor Level of the Tenure Track:
Required qualifications and career advancement at each level of the tenure track: Career advancement on the tenure track is based on performance assessments that measure the candidate’s merits.
When appointing a person to the position of an assistant professor the applicants are evaluated based on the following criteria:
When appointing a person to the position of an associate professor the applicants are evaluated based on the following criteria:
What we offer
Applications, together with all relevant enclosures, should be submitted using the electronic application form by 15th of January, 2021.
The application should be written in English and the following information needs to be included:
1) an application letter with contact information
2) a curriculum vitae following the guidelines of the Finnish Advisory Board on Research Integrity (tutkimuseettinen neuvottelukunta). The guidelines are available at http://www.tenk.fi/en/template-researchers-curriculum-vitae and a template at http://www.tenk.fi/sites/tenk.fi/files/CV_english_270613.pdf.
3) complete list of publications, ten most important ones marked
4) a brief account of research merits (max 1 page)
5) a brief account of teaching merits or a teaching portfolio (max 2 pages)
6) acquisition of research funds
7) applicant’s vision how to renovate this field of science and a brief research and action plan (max 4 pages)
8) contact details of 2–4 persons available for recommendation.
Evaluators: The selection procedure will be carried out by an Appointment Committee according to the University of Oulu Tenure Track guidelines.
Contact details: In order to receive the information and announcements concerning the official selection procedures to be followed in order to fill this post, applicants must inform of their contact details for the whole duration of the selection process: they must specifically provide both their home and work telephone numbers, e-mail addresses, and postal addresses.
For further information and enquiries about this post, and about the application and selection procedures, please contact:
Prof. Matti Latva-aho, Director of 6G Flagship
phone: +358 294 482847
Prof. Jari Iinatti, Head of CWC–NS Research Unit
phone: +358 294 482822
Prof. Markku Juntti, Head of CWC–RT Research Unit
phone: +358 294 482834
Prof. Olli Silvén, Head of CMVS Research Unit
phone: +358 294 482788
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|Titel||Assistant or Associate Professor Position in Machine Learning for Wireless Systems|
|Employer||University of Oulu|
|Job location||Pentti Kaiteran katu 1, 90570 Oulu|
|Publicerad||oktober 20, 2020|
|Sista ansökningsdatum||januari 15, 2021|
|Befattningar||Universitetslektor,   Tenure Track  |
|Ämnen||Datorkommunikation (nätverk),   Informationssystem (affärsinformatik),   Maskininlärning  |