Assistant Professor (tenure track) in analyzing and modeling of high-dimensional dynamic data in the Data Insight for High-Dimensional Dynamics (HiDyn) program

The University of Oulu is an international research and innovation university engaged in multidisciplinary basic research and academic education. It is one of the largest universities in Finland with 15 000 students and 3 000 employees. The University encompasses ten fields of study: Architecture, Biochemistry and Molecular Medicine, Humanities, Education, Economics and Business, Science, Medicine and Dentistry, Information Technology and Electrical Engineering, Technology and Mining. The University of Oulu researchers contribute to solving global challenges by combining multidisciplinary approaches, high level research and fruitful collaborations in the following five focus areas: 1. Creating sustainability through materials and systems, 2. Molecular and environmental basis for lifelong health, 3. Digital solutions in sensing and interactions, 4. Earth and near-space system and environmental change, 5. Understanding humans in change. Collaboration across scientific fields is strongly encouraged and supported within the University. More information http://www.oulu.fi/english/.

For strengthening its focus, the University of Oulu announces tenure track Assistant Professor positionin analyzing and modeling of high-dimensional dynamic data for a highly talented individual who holds a doctoral degree and has excellent potential for a successful scientific career.

The tenure track position is placed at the Faculty of Information Technology and Electrical Engineering (http://www.oulu.fi/itee). The Faculty is internationally attractive, with numerous visiting scholars and extensive international collaboration networks. The Research Units (https://www.oulu.fi/itee/units) and their leading experts are responsible for undergraduate, graduate, and post-doctoral education. The Assistant Professor will join an international and multidisciplinary research community of researchers from multiple faculties and disciplines that collaborates on new ubiquitous technologies and digital solutions.  

The position is aimed at strengthening the faculty as well as the Academy of Finland Profi 5 funded program HiDyn (Data Insight for High-Dimensional Dynamics) that is devoted to multidisciplinary data science and artificial intelligence, offering expertise to understand high-dimensional dynamic systems (see https://www.oulu.fi/university/focusarea/digital-solutions-in-sensing-and-interactions/profiling-areas).

More specifically, the position is directed to investigating revolutionary next generation methodologies relying on 6G wireless communications, and contributing to novel distributed applications. The particular focus areas of this position are multimodal emotional interfaces for human computer interfacing (HCI), 3-D computer vision, energy efficient embedded systems, biomedical signal analysis, and biometry.

The position will start as tenure track from April 1, 2020, or as soon as possible. The researcher appointed to a tenure track position may advance in the career through the tenure track process according to the principles of the University of Oulu https://www.oulu.fi/university/node/38379.  The position of an assistant professor is for persons who have recently (less than ten years ago) finished their doctoral dissertation and are advancing towards a professional research career.

The position will be supplemented with a recruitment package that enables hiring a post-doc or a post-graduate student. An option for a second post-graduate student is negotiable depending on the qualifications of the appointee.

Job Responsibilities and Required Qualifications: 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 and conferences, 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.

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.

The Assistant Professor position is initially a fixed-term position for three years, with the possibility of another three-year continuation period, or promotion to Associate Professor level dependent on evaluation. A trial period of 6 months is applied in the position.  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 (https://www.oulu.fi/university/node/38379).

When appointing a person to the position of an Assistant Professor, the applicants are evaluated based on the following criteria:

  • publications on an international level: dissemination, quality of the publication forums, references to the publications
  • active role in the research training
  • acquisition of external funding
  • working in more than one research facility during one’s career (in most fields represented at the University of Oulu this signifies working abroad)
  • an active role in the international scientific community
  • acknowledgements and awards.

Salary: The salary of the appointed researcher will be based on the demand level 6 in the chart for teaching and research staff of Finnish Universities (see the top left table in https://www.sivista.fi/wp-content/uploads/2018/12/YPJ-ja-harkkarien_Palkkataulukot_010119_010419.pdf). In addition to the basic salary of the appropriate tenure track level, supplementary salary will be given for personal achievement and performance, the sum rising to a maximum of 50 % of the basic salary level for the post. The salary range is roughly 3500 - 5000 €/month for an assistant professor.

Other benefits: Finland is one of the most livable countries, with a high quality of life, safety, excellent education system, and competitive economy. The successful candidate will receive full benefits provided by the University of Oulu to university employees, including free time corresponding to holidays and free occupational health care services. The successful candidate will receive also benefits provided by the Finnish government to residents, for example possibility to obtain access to the national healthcare system, tax benefits for employees with children and high-quality affordable childcare services.

About Oulu: The City of Oulu is Northern Finland’s largest and oldest city, with a population of over 200,000. Located in the Gulf of Bothnia in the Oulu River delta, the city has good access from anywhere. Oulu is a very safe and family friendly community with one of the highest qualities of life in all of Nordic countries. As  the  world’s  northernmost  tech  hub,  Oulu  has  a  highly educated and innovative workforce and the University has a strong role in the community.

Applications: Applications, together with all relevant enclosures, should be submitted electronically by November 30, 2019.

The application should be written in English and the following information needs to be included:
1) an application/motivation letter with contact information and indication on which tenure track level the candidate wants to be evaluated
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) 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) a brief research and action plan (max 3 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 CMVS 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, fax numbers and postal addresses.

For further information:

Concerning the application process and practical arrangements:

Planning Officer Elina Rossi

Faculty of Information Technology and Electrical Engineering

P.O.B. 4500, FI-90014 University of Oulu

phone: +358 294 48 4087

email: elina.rossi@oulu.fi

 

Concerning the research related information:

Prof. Olli Silvén

Head, Center for Machine Vision and Signal Analysis Research Unit

Faculty of Information Technology and Electrical Engineering

P.O.B. 4500, FI-90014 University of Oulu

phone: +358 294 48 2788

email: olli.silven@oulu.fi

 

Updated: 14.11.2019



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