This advert is not available!
Oslo Metropolitan University is Norway's third largest university with almost 22,000 students and over 2,500 employees. We have campuses in central Oslo and at Romerike. OsloMet educates students and conducts research that contributes to the sustainability of the Norwegian welfare state and the metropolitan region.
The Faculty of Technology, Art and Design (TKD) offers higher education and research and development (R&D) activities within technical subjects, arts and design. The Faculty has approximately 4.000 students and 400 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller Campus in Viken.
The Department of Computer Science offers three bachelor’s degree programmes, a master’s degree programme, and is part of a cross-departmental PhD program. Academic staff at the department are pursuing research in a wide range of areas including computer science, the natural sciences, and innovation and management. Both students and researchers are also involved in an increasing number of interdisciplinary initiatives across the university.
The Faculty of Technology, Art & Design (TKD) announces one open PhD fellowship in the area of Deep Reinforcement Learning. This is an open position within this field, and we are seeking the best candidates possible, allowing applicants to propose their own.
The PhD-program at TKD has a multidisciplinary profile and offers a variety of topics within engineering science. The program is a collaboration with the research center on digital engineering: SimulaMet. TKD is an important contributor to OsloMet’s Strategic goal of being a leading provider of research and education for solving the big Challenges for society - today and in the future.
For more information about the program, please see the following website.
The Ph.D. Fellow will be affiliated with the OsloMet AI Lab.
Basic and applied artificial intelligence is a strategic research area for our Faculty. We are in particular interested in research within the following areas:
Applicants must provide a short description of a project on Deep Reinforcement Learning that can lead to either theoretical breakthroughs or to novel applications of Deep Reinforcement Learning in new domains.
The fellowship will be for a period of three years, or alternatively, four years including 25% compulsory work (teaching and supervision activities or research administrative work). The decision on whether a 3 or 4 year position is suitable will be discussed as part of the interview process. The academic work is to result in a doctoral thesis that will be defended at the Faculty to obtain the degree PhD.
A potential main supervisor at the Faculty of Technology, Art & Design must be listed in the final application from one of the departments: Department of Computer Science, Department of Mechanical, Electronic and Chemical Engineering, Department of Civil Engineering and Energy Technology, Department of Art, Design and Drama or Department of Product Design. Where possible, a co-supervisor from OsloMet or elsewhere should also be listed.
We are looking for candidates that have:
The Ph.D. fellow presupposes admittance at the faculty’s Ph.D. program in Engineering Science. Candidates who already holds a PhD in the same or similar field can not apply.
When assessing and ranking the qualified applicants emphasis will be placed on
It is important to OsloMet to reflect the population of our region, and all qualified candidates are welcome to apply. We make active endeavours to further develop OsloMet as an inclusive workplace and to adapt the workplace if required. You are also welcome to apply for a position with us if you have experienced periods where you have not been in work, education or training.
Practical information about relocation to Oslo and living in Norway.
In order to be considered for the position you must upload the following documents together with your online application by the final date for the application:
Please apply electronically to this position. All the documents must be written in English. Any translations must be authorized by government. You must upload all of these documents. Original documents and valid passport must be presented if you are invited for an interview. OsloMet performs document inspections in order to give you as a candidate a proper evaluation and ensure fair competition.
Please note that incomplete applications will not be considered.
For information about the position, contact:
Salary is set in accordance with the Norwegian State Salary Scale, position code 1017 PhD Fellowship, pay grade 54, NOK 491 200. By law 2% of the salary is deducted as to the Norwegian State Pension Fund.
The position adheres to the Norwegian Government’s policy that the national labour force should to the greatest possible extent reflect the diversity of the population. Therefore, we encourage qualified candidates with immigrant background or reduced functional ability to apply for this position. OsloMet is an IA (Inclusive Workplace) enterprise and operates in compliance with the Norwegian IA agreement.
According to the Norwegian Freedom of Information Act (Offentleglova) your name may be published on the public applicant list even if you have requested non-disclosure. You will in this case be contacted before your name is published.
Please apply electronically to this position by clicking on the button «Click here and apply».
Ref: 21/05774
Deadline for applications: August 22nd 2021
Type of employment | Stipendiat |
---|---|
Contract type | Full time |
Number of positions | 1 |
Full-time equivalent | Heltid |
City | Oslo |
County | Oslo |
Country | Norway |
Reference number | 21/05774 |
Contact |
|
Published | 07.Jul.2021 |
Last application date | 22.Aug.2021 11:59 PM CEST |