Postdoctoral Fellow

Crina Damsa

Oslo

On-site

NOK 595,000 - 670,000

Full time

14 days+

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Pension in Statens Pensjonskasse
Welfare schemes
Exercise up to 1.5 hours/week

Job summary

University of Oslo invites applications for a three- or four-year Postdoc position in the Department of Education. The successful candidate will study how collaborative learning interacts with AI tools and infrastructures in higher education, using DBR methods and working with the KITE research group and TRUST center.

The appointment is full-time, with a potential 25% teaching load in a four-year contract. The postdoc will build a research profile and may pursue an associate professorship in

Qualifications

  • PhD in relevant field with emphasis on learning theory, cognitive theories, or AI in higher education.
  • Dissertation should involve studies of interaction with intelligent technologies; priority given to such work.
  • English proficiency required; Norwegian proficiency viewed as an advantage.

Responsibilities

  • Conduct design-based research (DBR) across iterations to improve students’ learning opportunities.
  • Collaborate with the KITE group and other faculty to integrate AI in education research.
  • Develop a career plan and contribute to dissemination of findings through publications and presentations.

Skills

Strong collaborative and communication
Independence & focus
Commitment to project goals

Education

PhD in learning sciences / educational sciences / educational psychology / HCI

Job description

Job description

Applicants are invited for a three- or four- year Postdoc position at the Department of Education, University of Oslo.

We are seeking a candidate with deep insight and interest in investigating the interaction between collaborative learning processes in specific knowledge domains in educational sciences and AI tools and infrastructures.

Different types of AI (generative and domain specific intelligent technologies) change the conditions for student learning in higher education. The position is anchored in the learning sciences a field in rapid development. The field needs to improve both descriptions, understanding, and explanations about the interaction that takes place between students, content, context and AI. The learning sciences is an interdisciplinary field of knowledge, building on learning-theoretical principles but also capitalizing on research from various other subfields – educational psychology, sociology of education, design studies or computer science, and more recently, learning analytics and AI in education.

GenAI have the last years changed important parts of the knowledge infrastructures for students in higher education. Multiple resources contribute to form their learning trajectories. To navigate and use multiple resources increases the complexity for students learning processes and demands for agency and cognitive efforts change. Today we have limited insight into students’ processes and outcomes with AI within specific areas in higher education.

This postdoc project is planned as design-based research (DBR) study based on different AI tools and infrastructures. Design-based research is a specific design approach that has been developed in the learning sciences over the last 30 years. It implies that researchers and practitioners collaborate in the design, implementation and analysis of the project. They will usually have different roles in the different phases of the projects, and a DBR study usually runs in several iterations to improve the students’ learning opportunities.

The project will be implemented in collaboration with the senior members of the KITE research group (se link to KITE below) and, if relevant, members of other research groups at the Faculty of Educational Sciences.

The study will be conducted with students at the Faculty of Educational Sciences and, if relevant during the project period, with students from other faculties at University of Oslo.

The project will be part of the portfolio of KITE’s AI related projects in the TRUST center (se link below). Applicants are strongly encouraged to contact the contact persons for guidance in the preparation of their application and project proposal.


More about the position

The appointment is a fulltime position for a period of three or four years. In a four-year position 25% of the time is devoted to teaching duties, usually in the form of teaching activities at the department. The main purpose of the fellowship is to build a research profile and competence that qualifies the postdoctoral fellow to apply for a position as associate professor within their disciplines. The position will also provide other competence with relevance for the postdoctoral fellow's further career.

Please see the guidelines concerning appointments to post-doctoral and research positions at the University of Oslo .

If the Postdoctoral Fellow does not already have educational qualifications that meet the requirements for an associate professor position, UiO shall facilitate the acquisition of such competence during the employment period.

A career plan shall be developed for the Postdoctoral Fellow, specifying the competencies the Postdoctoral Fellow should acquire. UiO is responsible for following up on the career plan and ensuring that the Postdoctoral Fellow has access to career guidance throughout the postdoctoral term.

The appointed postdoc will be part of the faculty research group KITE , which conducts research on knowledge work, collaboration and learning with emerging technologies in higher education and in work settings. The group has an extensive national and international network of researchers and user partners and participants in the AI-centre TRUST ( The Norwegian Centre for Trustworthy AI - TRUST – The Norwegian Centre for Trustworthy AI ).


Qualification requirements
  • The applicants would need to have PhD in either; learning sciences, educational sciences, educational psychology or human-computer interactions studies.
  • The focus of the PhD-thesis needs to contain knowledge areas such as learning theory, cognitive theories with applications on studies of learning, design of learning environments, design-based research methods, digitalization and AI preferable in higher education, but background in K-12 studies might also be of relevance. Applicants with PhD thesis that involves studies of interaction with intelligent technologies will be given priority.
  • Doctoral dissertation must be submitted for evaluation by the closing date. Appointment is dependent on the public defense of the doctoral thesis being approved.
  • Proficiency in English is required. Fluent and written communication in Norwegian would be seen as an advantage in the work with the study design and data analysis.

Personal skills
  • Strong collaborative and communication skills
  • A commitment to work towards the project’s common goals
  • Ability to work focused and independently

We need different perspectives in our work

UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no .

We fulfill our mission most effectively when we draw upon applicants with diverse background, variety of experiences, backgrounds, and perspectives. We are looking for colleagues that could contribute to advanced research in the field of collaborative learning with AI.

We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures.

If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian).

The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here .

We hope you will apply for the position with us.


We offer
  • Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development.
  • A professionally stimulating working environment
  • Good welfare schemes.
  • Opportunity of up to 1.5 hours a week of exercise during working hours.
  • A workplace with good development and career opportunities.
  • Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes.
  • Salary in position as Postdoctoral Fellow, position code 1352 in salary range from NOK 595.000 - to NOK 670.000 per annum -, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund.
  • Read more about the benefits of working in the public sector at Employer Portal.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Postdoctoral Fellow
Postdoctoral Fellow

University of Oslo • Oslo

On-site
NOK 595,000 - 670,000
Welfare schemes
Pension scheme
Exercise time
+1
Postdoctoral Fellow
Postdoctoral Fellow

Universitetet I Oslo • Oslo

On-site
NOK 595,000 - 670,000
Exercise allowance
Good pension scheme
Career development
Postdoctoral Fellows in Educational Measurement
Postdoctoral Fellows in Educational Measurement

Johan Braeken • Oslo

On-site
NOK 595,000 - 670,000
Salary NOK 595 000 - 670 000 per annum
Professional development opportunities
Interdisciplinary and international工作環
+1
PhD Research Fellow position in Knowledge-Grounded LLM Agents for Defensive Cyber Operations
PhD Research Fellow position in Knowledge-Grounded LLM Agents for Defensive Cyber Operations

University of Oslo • Oslo fylke

On-site
NOK 551,000 - 595,000
Welfare schemes
Career development programs
Pension scheme (State Pension Fund)
PhD Research Fellow position in Knowledge-Grounded LLM Agents for Defensive Cyber Operations
PhD Research Fellow position in Knowledge-Grounded LLM Agents for Defensive Cyber Operations

For questions regarding Jobbnorge, please contact HR Adviser Therese Ringvold • Oslo fylke

On-site
NOK 551,000 - 595,000
PhD Research Fellow position in Knowledge-Grounded LLM Agents for Defensive Cyber Operations
PhD Research Fellow position in Knowledge-Grounded LLM Agents for Defensive Cyber Operations

Universitetet I Oslo • Oslo fylke

On-site
NOK 551,000 - 595,000
Salary in PhD Fellow position (NOK 550
Oslo living environment and pension
PhD Research Fellow in Control Theory and Optimization for Edge Computing
PhD Research Fellow in Control Theory and Optimization for Edge Computing

Universitetet I Oslo • Kjeller

On-site
NOK 551,000 - 595,000
Pension scheme
Career development opportunities
Location near Oslo
PhD Research Fellow position in Mathematics
PhD Research Fellow position in Mathematics

For questions regarding Jobbnorge, please contact Ole Rustad • Oslo fylke

On-site
NOK 551,000 - 595,000
Salary in the PhD Research Fellow post
Welfare schemes
Career development programmes
+1
PhD Research Fellow in Political Science - Norway and the EU
PhD Research Fellow in Political Science - Norway and the EU

Universitets- og høyskolelektorer/-lærere • Oslo fylke

On-site
NOK 551,000 - 630,000
Researcher in AI and Computational Method Development for Precision Medicine
Researcher in AI and Computational Method Development for Precision Medicine

Alexander Grande • Oslo fylke

On-site
NOK 600,000 - 750,000
Exercise during working hours
Career development opportunities
Statens Pensjonskasse pension scheme
Top locations