Tag Archives: Örebro University

Postdoctoral researcher in computer science/machine learning

Ref no: 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.

Subject area

The subject area for this position is Computer Science.

Background

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: http://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.

Qualifications

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 circumstances.

Assessment criteria

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

Information

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: johannes.stork@oru.se, or Lars Karlsson (Head of Unit), +46 19 30 33 55, e-mail: lars.karlsson@oru.se, Mattias Bäckström (Head of School), +46 19 30 39 65, e-mail: mattias.backstrom@oru.se 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.

Application

The application is made online. Click the button “Apply” to begin the application procedure.

For the application to be complete, the following electronic documents must be included:

  • 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 interest.
  • CV with a relevant description of your overall qualifications and experience relevant to this position.
  • Account of research qualifications and experience relevant to this position.
  • 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 reviewed.

The application deadline is 2022-08-31. We look forward to receiving your application!

We decline any contact with advertisers or recruitment agencies in the recruitment process.

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.

Read the job description at the university homepage

Apply

Post expires on Wednesday August 31st, 2022

Doctoral students in Computer Science

Ref no: ORU 2.1.1-03080/2022

Örebro University and the School of Science and Technology are offering two PhD positions in Computer Science with a focus on integrating Machine Learning and Machine Reasoning, concluding with the doctoral degree. The PhD student will be affiliated with the research Centre for Applied Autonomous Sensor Systems (AASS, http://www.oru.se/aass), which carries out multi-disciplinary research at the intersection of robotics, machine learning, artificial intelligence, computer vision and measurement technology.

Start date: October 2022

Project description

The project will investigate how to develop systems that learn and reason in an artificial intelligence (AI) and autonomous systems context. While there has been a lot of progress on both machine learning and machine reasoning, their integration remains a key open challenge in artificial intelligence and autonomous systems. The distinction between learning and reasoning is related to the differences between fast and slow thinking, between data-driven and knowledge-based approaches, and between symbolic versus sub-symbolic representations. The project will build upon neuro-symbolic computation as a paradigm for integrating (neural-based) learning and symbolic reasoning. The goal of the project is to develop human-computer interaction approaches relying on neural-symbolic solutions to address problems related to natural language processing (NLP), conversational AI and user modelling.

The project is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest ever individual research program, and a major national initiative for startegic 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: http://wasp-sweden.org/.

The PhD students will belong to the graduate school within WASP, which is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of AI, autonomous systems and software. The curriculum provides the foundations, perspectives, and state-of-the-art knowledge in the different disciplines taught by leading researchers in the field. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. For more information on the graduate program within WASP, read more at https://wasp-sweden.org/graduate-school/.

The successful candidate should show strong and independent problem solving and critical analytical abilities. Furthermore, the candidate must have the ability to co-operate. Fluent spoken and written command of English is essential, while knowledge of Swedish is not necessary. Having courses, a thesis or publications based on the idea of integrating symbolic and sub-symbolic AI methods is a merit.

The programme and the doctoral studentship

The doctoral programme consists of courses and an independent research project that you will present in a doctoral thesis. The programme concludes with a doctoral degree and comprises 240 credits, which corresponds to four years of full-time study.

Our ambition is for your doctoral studies to be stimulating and purposeful throughout the programme until you have obtained your doctoral degree. A thorough introduction will therefore get you off to a good start and provide a solid foundation on which you can build your studies. As a doctoral student at Örebro University, you will be offered a specially tailored seminar series, covering matters ranging from doctoral programme rules and careers to support during the study period and networking.

The place on the programme is linked to a full-time doctoral studentship for the duration of the study programme. More information on doctoral studentships, part-time studies and part-time doctoral studentships can be found in the Regulations Handbook. The initial salary for a doctoral studentship is SEK 29 100 a month.

The doctoral studentship is a tailored form of employment for students enrolled on a doctoral programme. It guarantees employment for the duration of the doctoral programme (given that the studies progress).

Entry requirements and selection

For admission to doctoral studies, applicants are required to meet both general entry requirements and specific entry requirements. In addition, applicants must be considered in other respects to have the ability required to benefit from the programme. For a full account of the entry requirements, refer to the admissions regulations as well as to annex 2 to the general syllabus for computer science.

Applicants meet the specific entry requirements for research studies in computer science if they have been awarded a Degree of Master of Science in Engineering or a one-year Master’s degree from a programme within the subject field or related subjects, or if he or she has received a passing grade of at least 120 credits, including an independent project on the second cycle, in a main field of study of relevance to the computer science field. A person who has acquired substantially corresponding knowledge, in Sweden or abroad, also meets the specific entry requirements.

Information

For more information on the programme and the post, please contact Dr. Marjan Alirezaie (marjan.alirezaie@oru.se) or Prof. Lars Karlsson +46 19303355 (lars.karlsson@oru.se).

Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterized by openness, trust and respect. We value the qualities that diversity adds to our operations.

Application to the programme and for the doctoral studentship

The application is made online. Click the button “Apply” to begin the application procedure.

For the application to be complete, the following electronic documents must be included:

  • The form Application for/decision on admission to research studies
  • CV
  • Certificate on completed higher education courses and study programmes, and if applicable a degree certificate
  • Degree project/independent project
  • Copies of relevant course/degree certificates and references verifying eligibility and criteria met
  • Description of research interests – detailing the field of research you are interested in, including, if applicable, theoretical and methodological approaches (2-5 pages).

As a main rule, application documents and attachments are to be written in Swedish, Danish, Norwegian, or English. Certificates and documents in other languages verifying your qualifications and experience must be translated by an authorised translator to Swedish or English. A list of authorised translators can be obtained from Kammarkollegiet (the Legal, Financial and Administrative Services Agency), www.kammarkollegiet.se/engelska/start.

When you apply for admission, you automatically also apply for a doctoral studentship.
More information for applicants will be found at out career site:  https://www.oru.se/english/working-at-orebro-university/jobs-and-vacancies/applicants-and-external-experts/

The application deadline is 2022-08-31. We look forward to receiving your application!

We decline any contact with advertisers or recruitment agencies in the recruitment process.

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.

Read the job description at the university homepage

Apply

Post expires on Wednesday August 31st, 2022