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Stillingstittel:
Postdoctoral Research Fellow in Machine Learning on human activity based data

Stillingsbeskrivelse:
Jobbnorge ID: 167103

Job abstractJV_description

Position as Postdoctoral Research Fellowship available in the DSB - Digital Signal Processing and Image Analysis Group at the Department of Informatics. The position is part of the joint research project AutoActive.

The appointment is a fulltime position and is made for a period of two and a half years.

No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo.

More about the position

The aim of the AutoActive project is to develop tools, methods and algorithms making it easier to carry out research in order to obtain information on human activities based on data from multiple sensors. The use cases of interest are Cross country skiing and Management of multiple sclerosis. A full abstractJV_description of the use cases can be found on the project homepage.

The main target of the postdoctoral project will be to develop methods for automatic analysis of sensor data. The work will cover both practical and theoretical task including sensor placement optimization, data preprocessing, feature extraction, classification, and evaluation and postprocessing. The project will be performed in close collaboration with researches at SINTEF Digital Smart Sensor Systems, the Centre for Elite Sports Research at the Norwegian University of Science and Technology (NTNU), Olympiatoppen, MS-senteret in Hakadal, and the Department of Neurology at Oslo University Hospital.

The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this, and are expected to be in the upper segment of their class with respect to academic credentials.

• Applicants must hold a degree equivalent to a Norwegian doctoral degree in signal or image processing, applied physics/mathematics, statistics, machine learning, or related areas. The applicant is required to document that the degree corresponds to the profile for the post. Doctoral thesis must have been submitted for evaluation by the closing date. The thesis must have been approved and defended before appointment.
• The candidate should have good analytical and programming skills
• Previous experience working with statistical methods for data analysis is a requirement.
• Fluent oral and written communication skills in English is required

Desired qualifications

• We are looking for a candidate with a dedicated interest to work with the applications in sport science and chronic disease management.
• Besides technical skills, we are looking for a curious, ambitious candidate who is highly motivated to do research and contribute to the work done at our group.
• Communication skills in a Scandinavian language is desirable.

We strongly encourage that the application is accompanied by a short cover letter explaining briefly how the applicant's background, education and interest fit the goals and requirements of this project.

We offer

• salary NOK 515 200 - 597 400 per annum depending on qualifications in position as Postdoctoral Research Fellow (position code 1352)
• a professionally stimulating working environment
• vibrant international academic environment
• postdoctoral development programmes
• attractive welfare benefits and a generous pension agreement, in addition to Oslo's family-friendly environment with its rich opportunities for culture and outdoor activities

How to apply

The application must include

• Cover letter (statement of motivation, summarizing scientific work and research interest)
• CV (summarizing education, positions, pedagogical experience, administrative experience and other qualifying activity)
• copies of educational certificates (academic transcripts only)
• A complete list of publications and up to 5 academic works that the applicant wishes to be considered by the evaluation committee
• list of reference persons: 2-3 references (name, relation to candidate, e-mail and phone number)

The application with attachments must be delivered in our electronic recruiting system. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).

In assessing the applications, special emphasis will be placed on the documented academic qualifications as well as the candidate's motivation and personal suitability. Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.

The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.

Contact information

Professor Anne Solberg, email: anne (at) ifi.uio.no, or Professor Andreas Austeng, e-mail:  Andreas.Austeng (at) ifi.uio.no

For technical questions regarding the recruitment system, please contact HR Adviser Torunn Standal Guttormsen, phone:+47 22854272,
e-mail:t.s.guttormsen (at) mn.uio.no

Se annonsen og søk på stillingen www.jobbnorge.no

numberOfPosts: 1

jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2152

abstractJV_contact_0: See jobabstractJV_description

Arbeidsgiver Navn: Universitetet i Oslo

source: NAV