Faculty of Technology, Art and Design, Department of Computer Science
OsloMet – Oslo Metropolitan University is one of Norway's largest
universities, with more than 20,000 students and 2,000 employees. OsloMet
delivers knowledge to solve societal challenges, in close cooperation with the
society and employers. OsloMet is an urban and diverse university with a clear
international profile, and an attractive place to work and study with campuses
in Oslo city center and at Kjeller in the Municipality of Lillestrøm. Our
location in the metropolitan area gives us good opportunities to understand
and benefit from the city's diverse population.
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 3.000 students and 280 staff members
and is situated at Pilestredet Campus in downtown Oslo and at Kjeller Campus
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
Applied Deep Reinforcement Learning within the industry or towards solving
one of the EU Sustainable Development Goal
Particularly innovative research ideas in Deep Reinforcement Learning.
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:
Master's thesis in computer science, electrical engineering or related
fields (equivalent to 120 credits) with an average grade of A or B
within a scale of A-E passing of grades and a
Bachelor's degree with a grade C or better with a background in an area
relevant for the PhD project
Proficient in written and oral English
Good knowledge in machine learning techniques
Good programming skills especially in Python, or other related programming
It is desirable to provide a link to own git repository (where
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
Past scientific work (where relevant)
Experience with deep reinforcement learning
Experience with Markov Decision Processes
Experience with multi-agent systems
Experience with deep learning
We are looking for applicants who
The ability to work systematically and pro-actively
The ability to finish tasks
Motivation for contribution in the field of research
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.
We can offer you
An exciting job opportunity at Norway's third largest and most urban
Opportunity to be a part of a dynamic professional environment and unique
Beneficial pension arrangements with the Norwegian State Pension Fund.
Good employee welfare arrangements.
Working location in downtown Oslo with multiple cultural offers.
Practical information about relocation to Oslo and living in Norway.
Expert committee and documentation requirements
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 letter, describing your motivations for applying to this
fellowship as well as a short overview of the qualifications, technical
skills, experience, and personal skills that make you an attractive
candidate for a successful and productive completion of this work.
CV and copies of diplomas/certificates including all grades.
Copy of MSc thesis
project proposal which indicates that the project will realistically lead
to a doctoral degree within a three-year period. The proposal should
include: Research questions, theory and method, relevant knowledge within
the research area, a schedule for the educational and research plan. The
project proposal should not exceed 5 pages (excluding references) and
include the name of the proposed main supervisor.
Names and contact details of 2-3 references (name, relation to candidate,
email, and telephone number).
Candidates from universities outside Norway are kindly requested to
include a Diploma Supplement or a similar document, which describes in
detail the study and grade system and the rights for further studies
associated with the obtained degree.
Applicants from countries where English is not the first language must
present an official language test report. The following tests qualify as
such documentation: TOEFL, IELTS, Cambridge Certificate in Advanced
English (CAE) or Cambridge Certificate of Proficiency in English
(CPE). Minimum scores are:
TOEFL: 600 (paper-based test), 92 (Internet-based test).
IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test is accepted).
The following applicants are exempt from the above mentioned language
Applicants from EU/EEA countries.
Applicants who have completed one year of university studies in Australia, Canada, Ireland, New Zealand, the UK or USA.
Applicants with an International Baccalaureate (IB) diploma.
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
Please note that incomplete applications will not be considered.
For information about the position, contact:
Professor Anis Yazidi, email: email@example.com
Associate Professor Gustavo Mello: firstname.lastname@example.org
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
Please apply electronically to this position by clicking on the button «Click
here and apply».
Deadline for applications: August 22nd 2021
OsloMet is a Charter & Code certified institution by the EU Commisson holding
the right to use the logo HR Excellence in Research (HRS4R). OsloMet is a
member of the EURAXESS network supporting a positive work environment for
researchers in motion.
OsloMet has signed The Declaration on Research Assessment (DORA). DORA
recognizes the need to improve the ways in which the outputs of scholarly
research are evaluated.
Type of employment Stipendiat
Contract type Full time
Number of positions 1
Working hours Heltid
Reference number 21/05774
Anis Yazidi, 46744088
Last application date 22.Aug.2021 11:59 PM CEST
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