Tenure Track Associate Professor Position

Posted: April 5, 2017 in Apr-Jun Deadline, Europe, Finland, Other/Jobs
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University of Oulu is an international research and innovation university engaged in multidisciplinary basic research and academic education. The University of Oulu is one of the largest universities in Finland with 14 000 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 ad supported within the University. More information http://www.oulu.fi/english/.

The following job is open in the University of Oulu:

Tenure Track Associate Professor Position in Multimodal Image and Signal Analysis 

Field and Location: For strengthening its profile at international level the University of Oulu announces a tenure-track opening for researchers in the field of multimodal image and signal analysis.

The position is placed at the Center for Machine Vision and Signal Analysis Research Unit (CMVS, http://www.oulu.fi/cmvs), Faculty of Information Technology and Electrical Engineering (ITEE, http://www.oulu.fi/itee). CMVS is in a leading position in Finland with research focus on machine vision, multimodal analysis of images and signals, and associated low energy computing technology. The aim is at devising novel methods and technologies, which will allow machines to identify humans and their emotional states, be able to interact naturally with the user similar to the way human-human interaction takes place, exploit 3D information in human-computer interaction both in real and virtual environments, and create energy-efficient technologies for embedding vision systems in the environment. Among the areas of application are affective computing, biometrics, human-computer interaction, augmented reality, and biomedicine.

In its field the Research Unit is globally highly ranked with research activities based on international collaborations. The partners of CMVS include three institutes of Chinese Academy of Sciences (Computing Technology, Psychology, and Automation), University of Oxford, National University of Singapore, University of Georgia (USA), Imperial College London, Czech Technical University (Prague), Idiap Research Institute (Switzerland), and EPFL. At the University of Oulu the Research Unit and its leading experts are responsible for undergraduate, graduate, and post-doctoral education in the field. The associate 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 tenure-track position in multimodal image and signal analysis is directed to investigating and designing genuinely multimodal systems that simultaneously disambiguate and interpret information, e.g. vision and speech, acquired by different types of detectors and sensors.

The position will start as tenure track from 1.1.2018, or later according to mutual agreement with the successful applicant. The researchers appointed to a tenure track position may advance in their career through the tenure track process and be appointed to a permanent position as a professor or a distinguished professor.

The tenure track position is open to highly talented individuals who hold a doctoral degree and have excellent potential for a successful scientific career. The successful applicant of this call will be placed at the level of Associate Professor of the four-level tenure track system.

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 CMVS’s 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 position of an associate professor is initially a fixed-term position for five years, but a continuation period may be granted or the position may be made permanent. 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: http://www.oulu.fi/university/node/38379.

When appointing a person to the position of an associate 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 chart for the teaching and research staff of Finnish Universities. 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 46.3 % of the basic salary level for the post. The salary thus being roughly 4,100 – 5,400 €/month for an associate 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.

Applications: Applications, together with all relevant enclosures, should be submitted electronically by 30.4.2017

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) 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 and enquiries about this post, and about the application and selection procedures, please contact:

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 40 555 2451
email: olli.silven@oulu.fi

Apply Now

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