Ref nr: ORU 2.1.1-08190/2021
We are looking for a postdoctoral researcher in computer science for a fixed-
term position at the School of Science and Technology.
The subject area for this position is Computer Science.
The topic for this position is continual learning and learning with dataset
shift. There are two direction for this position and we are looking to
recruited a postdoctoral research for both or either of the two directions.
Direction 1 entails fundamental research on continual learning for dataset
shift with data efficient and interpretable models and algorithms. This
direction investigates methods for learning, updating, and forgetting for
domains where data is incrementally available or changes over time (e.g.
models of system dynamics, robotic mapping, reinforcement learning, or
environmental data). Prior knowledge, experience, and interest in
probabilistic and/or statistical machine learning is expected for this
direction. In addition, prior knowledge, experience, and interest in Bayesian
methods and Gaussian processes are advantageous.
Direction 2 entails fundamental research on reinforcement learning with
continual adaptation and domain shift including, but not limited to, meta and
transfer learning methods. This direction investigates methods for fast and
efficient reinforcement learning in real-world settings by exploiting
knowledge transfer, e.g. from other domains or experience, to allow faster
learning and adaptation in the target environment. Prior knowledge,
experience, and interest in reinforcement learning in continuous spaces and
deep learning are expected for this position. Prior knowledge, experience, and
interest in robotic perception and control as well as probabilistic machine
learning are advantageous.
The position is funded through the Wallenberg AI, Autonomous Systems, and
Software Program (WASP) and is not tied to a particular research project. It
therefore provides a large degree of freedom to the appointed postdoctoral
researcher. Research in this project will be performed in close collaboration
with doctoral students and postdoctoral researchers in the same research
environment, as well as external collaborators.
The Wallenberg AI, Autonomous Systems and Software Program (WASP), is
Sweden's largest ever individual research program, and a major national
initiative for strategic basic research, education and faculty recruitment.
The vision of WASP is excellent research and competence in artificial
intelligence, autonomous systems and software for the benefit of Swedish
industry. For more information about the research and other activities
conducted within WASP please visit: https:// wasp-sweden.org/.
Duties and responsibilities
The appointment as a postdoctoral researcher is intended to enable persons who
have recently been awarded their doctoral degree, to consolidate and develop
primarily their research skills.
This position is primarily focused on research. Further, it is expected that
the postdoctoral researcher assists in supervision of doctoral students, takes
an active role in developing the research environment, and contributes to the
research environment, e.g., by collaborating with other researchers.
Those qualified for appointment as a postdoctoral researcher are applicants
who have been awarded a doctoral degree in a subject matter relevant for the
position or have a degree from abroad deemed to correspond to a doctoral
degree. Candidates who are expected to complete a doctoral degree after the
application deadline will also be given full consideration but in that case
proof of a completed degree must be presented before an appointment decision
can be taken. The doctoral degree is to have been awarded no more than three
years prior to the application deadline. If special grounds exist, a person
who has been awarded their doctoral degree prior to that should also be
considered. Such grounds comprise leave of absence due to illness, parental
leave, clinical practice, positions of trust in a trade union or other similar
The basis for assessment is the applicant's scientific expertise, skill, and
knowledge in the subject matter. Particular attention is paid to the
applicant's prospects to contribute to research and the demonstrated ambition
to embark on a career within academia as well as the ability and suitability
to collaborate with other members of the research environment.
Other assessment criteria
The applicant should possess and demonstrate:
A strong background in computer science, machine learning, or robotics
Motivation to obtain to undertake research on an international level
Strong mathematical background
Prior research experience in the areas of machine learning or robotics
A track record of high-quality publications in the areas of machine
learning or robotics
Excellent programming skills
Excellent communication skills in English
This is a fixed-term full-time position for two years. At Örebro University,
salary depends on the successful candidate's qualifications and experience.
For more information about the position, contact Johannes A. Stork
(Supervisor), +46 19 30 39 40, e-mail: , or Lars Karlsson (Head of Unit),
+46 19 30 33 55, e-mail: , Peter Johansson (Head of School), +46 19 30 32
75, e-mail: for administrative questions.
At Örebro University, we expect each member of staff to be open to development
and change; take responsibility for their work and performance; demonstrate a
keen interest in collaboration and contribute to development; as well as to
show respect for others by adopting a constructive and professional approach.
Örebro University actively pursues an equal work environment and values the
qualities that diversity adds to our operations.
The application is made online. Click the button “Apply” to begin the
For the application to be complete, the following electronic documents must be
Covering letter, outlining why you are interested in this position and how
you believe you can contribute to the continued development of our
research environment at Örebro University. The cover letter should
indicate one of the two directions listed above as a primary area of
CV with a relevant description of your overall qualifications and
experience relevant to this position.
Account of research qualifications and experience relevant to this
Copies of relevant course/degree certificates and references verifying
eligibility and criteria met.
Relevant scientific publications (maximum of 10 and in full-text format)
Only documents written in English, Swedish, Norwegian and Danish can be
The application deadline is 2022-02-09. We look forward to receiving your
We decline any contact with advertisers or recruitment agencies in the
As directed by the National Archives of Sweden ( Riksarkivet ), we are
required to deposit one file copy of the application documents, excluding
publications, for a period of two years after the appointment decision has
gained legal force.