About the position

We invite applications for a PhD Research Fellow position in within the interdisciplinary research team GLIOFORCE – Targeting Cellular Biomechanics to Block Tumour Cell Invasion, a new Life Science Convergence Environment at the University of Oslo. 

The GLIOFORCE team merges world-class expertise in biomedicine, physics, engineering and pharmacy to explore mechano-adaptation as a targetable vulnerability in the most aggressive brain cancer, Glioblastoma. The successful candidate will work closely with 3 other PhD students in an interdisciplinary research consortium that will describe, model and manipulate the physical forces that cancer cells experience during invasion. With this information, we aim to identify the weak spots in cancer cells’ spreading strategy and design innovative tools that specifically target these vulnerabilities. By focusing on physical mechanics of cancer cell spreading, GLIOFORCE aims to open up new avenues for treating aggressive cancers like Glioblastoma.

Starting date no later than October 1, 2026. 

The fellowship period is four years, including 25 % of other career-promoting work. This may consist of teaching and/or project-related tasks, such as contributing to the organization of consortium seminars and workshops, outreach and social media profiling, laboratory assistance, or other activities that support the project.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. 

Place of work is at the Department of Pharmacy in the new Life Science Building, Oslo.

Job description

Glioblastoma (GBM) is the most common and aggressive adult brain tumor. During invasion, GBM cells sense and navigate through the tumor microenvironment, adapting their nuclear biomechanical properties to enable efficient spreading through complex extracellular environments. The nuclear envelope protein BAF has emerged as a critical adaptable node in determining nuclear biomechanical properties. This PhD project aims to identify and validate small-molecule inhibitors that target BAF interactions to block GBM invasiveness.

The PhD candidate will:
•    use computational structure models to identify mutations and small-molecule inhibitors capable of disrupting BAF-centered protein-protein interactions
•    apply molecular docking (Glide, AutoDOCK) and molecular dynamics simulations (AMBER, NAMD, GROMACS) to assess binding affinities and evaluate stability of BAF-compound complexes
•    screen chemical databases (ChEMBL, ZINC, ENAMINE, PubChem) to identify candidate BAF-binding small molecules using virtual screening approaches
•    validate inhibitors via biological assays, through hands-on cell biology experiments, genetics, and advanced light microscopy approaches to measure compound toxicity and impact on cell behaviour such as nuclear morphology dynamics and 3D cancer cell invasiveness
•    iteratively refine computational models based on experimental validation to develop second-generation inhibitors with improved efficacy

The project offers a highly interdisciplinary research environment spanning computational chemistry, cell biology, physics, and materials science. The work will leverage GPU computing on high-performance supercomputers such as Saga and LUMI to accelerate drug candidate identification. The position may include secondments to industry partners for biophysical analyses (X-ray crystallography, NMR), and direct validation using medic-inal chemistry, cell biology approaches and advanced light microscopy. 

Primary supervisor is Assoc. Prof. Osman Gani, with co-supervisors from the GLIOFORCE team (Assoc. Prof. Coen Campsteijn and Prof. Lasse Vines) as well as an organic chemist from the medicinal chemistry group at Department of Pharmacy.

What skills are important in this role?

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Required qualifications:

• Master’s degree in pharmacy, computational chemistry, medicinal chemistry, bioinformatics, or a closely related field. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system. 
• Strong background in molecular modeling, molecular dynamics simulations, or computer-aided drug design. Proven record of programming language through publicly available Github/Gitlab or similar repositories.
• Experience in the cell biology lab
• Fluent oral and written communication skills in English
  
   

Candidates without a master’s degree have until June 30, 2026 to complete the final exam.

Desired qualifications:

• Experience with molecular docking tools (such as Glide, AutoDOCK) in program-matic way
• Experience with molecular dynamics simulation packages (AMBER, NAMD, GROMACS)
• Familiarity with high-performance computing or GPU-accelerated simulations
• Interest in close collaboration with experimental researchers and willingness to perform basic cell biology experiments
• Ability to teach in a Scandinavian language
   

Language requirement:

• Good oral and written communication skills in English
• English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:
  https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8

Grade requirements:
The norm is as follows:

• The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
• The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
• The Master’s thesis must have the grade B or better in the Norwegian educational system

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see:
http://www.mn.uio.no/english/research/phd/

All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the national security regulation.

What are we looking for in you?

Personal skills:

• Strong analytical skills and scientific curiosity
• Ability to work both independently and collaboratively in an interdisciplinary research environment
• High level of motivation, responsibility, and perseverance
• Clear and constructive scientific communication skills
   

Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal qualifications.

We can offer you

• A pleasant and stimulating work 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
• Career development programmes
• Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes
• Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
• Salary in position as PhD Research Fellow, position code 1017 in salary range NOK from 550 800 - 595 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund 

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 our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues, could you be the next one?

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.

How to apply

The application must include:

• Cover letter - statement of motivation and research interests
• CV (summarizing education, positions and academic work - scientific publications)
• Copies of the original Bachelor and Master’s degree diploma and transcripts of records ( see below)
• Optional: Letters of recommendation
• Documentation of English proficiency if applicable
• List of publications and academic work that the applicant wishes to be considered by the evaluation committee
• Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job". Foreign applicants should attach an official explanation of their University's grading system.

When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language.

General information

The best qualified candidates will invited for interviews.

Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can't, you will hear from us.

Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian), Guidelines concerning appointment to post doctoral and research posts at UiO (Norwegian) and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo.  

The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.

Om arbeidsgiveren:

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 26 500 students and 7 200 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. 

The Department of Pharmacy has 130 employees. We have an active research and innovation environment based on independent research in pharmaceutical topics. The Department of Pharmacy is responsible for the popular master's degree program in pharmacy and has 350 competent and committed students.
Pharmaceutical related research and education forms the base of all activities at the Department of Pharmacy. The science of pharmacy lies in the interface between the natural sciences, pharmaceutical technology, health related topics and social sciences. This interdisciplinarity is reflected both in our study programmes and in our research. 

In the planned life science building at the University of Oslo, closer collaboration with health enterprises, local government and the business sector will enhance quality and relevance in research and education of the future labour force. The building will be the heart of the first innovation district in Norway – Oslo Science City. 

The Department of Pharmacy will move into the new Life Science building in 2026.

This is NTNU

NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.

You will find more information about working at NTNU and the application process here.

   

Video: https://youtu.be/Xt-yHCN5QS0

About the position

Are you looking for a PhD opportunity that combines rigorous AI research with high-impact problems in next-generation wireless systems? We are recruiting a talented and motivated PhD student for a Research Council of Norway-funded project in collaboration with NTNU and SINTEF Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions.

As a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical constraints. Depending on background and interests, the work may involve robust detection under distribution shifts and unseen interference conditions, resilient federated/decentralized (collaborative) learning, and reinforcement learning for adaptive decision-making. A key aim is to connect wireless phenomena to learning robustness by combining physical-layer signal structure and signal-processing insights with trustworthy learning principles.

You will join a dynamic, collaborative team conducting rigorous AI and signal processing research with clear relevance to future wireless systems. The work emphasizes principled modeling, reproducible experimentation with open datasets and simulations, and publication-ready contributions targeting leading venues in machine learning and wireless communications. You will also have opportunities for international collaboration with leading research groups through joint publications, visits, and conference presentations.

Your immediate leader will be the leader of the signal processing group.

Duties of the position

• Complete the doctoral education until obtaining a doctorate
• Carry out research of good quality within the framework described above
• Academic publications and popular science dissemination
• Participate in the Signal Processing group 
• Participate in international activities such as conferences and/or research stays at foreign educational institutions
   

Be prepared for changes to your work duties after employment.

Required selection criteria

• You must have a relevant Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master’s students can apply, but the master's degree must be obtained and documented before starting the position.
• You must have a strong academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker grade background, you may be considered if you can document that you are particularly suitable for a PhD education.
• You must meet the requirements for admission to the doctoral programme at the Faculty of Information Technology and Electrical Engineering.
• You must have a strong mathematical background and a research-oriented Master’s thesis in a relevant field (e.g., signal processing, statistical machine learning, wireless communications, applied mathematics).
• You must have solid programming skills and documented experience implementing algorithms and running reproducible experiments in Python and/or MATLAB.
   

PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.

The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU)for general criteria for the position.

Preferred selection criteria

• Experience with machine learning for signal data and/or wireless systems (e.g., robustness under distribution shift and challenging radio conditions). Familiarity with federated/decentralized learning and/or reinforcement learning under practical constraints is an advantage.
• Publication activity (e.g., conference/journal papers, preprints, or open-source contributions) in relevant areas.
• Excellent written and oral English skills.

Personal characteristics

To complete a doctoral degree (PhD), it is important that you are able to: 

• Communicate research clearly, both orally and in writing, and discuss results with other professionals.
• Work independently and take ownership of research problems from idea to publication.
• Be scientifically curious and motivated to learn new methods and explore new research directions.
• Be persistent and structured, with good planning skills and the ability to meet deadlines.
   

Emphasis will be placed on personal qualities.

We offer

 

• An exciting job with an important mission in society
• Developing tasks in a strong and international professional environment
• Career guidance and follow-up during the PhD period
• Open and inclusive working environment with committed colleagues
• Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK)
• Free Norwegian language training at a basic level (A2)

As a PhD Candidate at NTNU, you will have access to employee benefits.

Diversity

Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values ​​are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. 

We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education. 

If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.

At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality. 

Salary and conditions

In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 550 800,-per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary.

The employment period is 3 years for the doctoral work, with a possible extension of up to one year of career-promoting work.

For employment as a PhD Candidate, it is a prerequisite that you gain admission to PhD programme in Electronics and Telecommunication within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period of employment

As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.

For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.

The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed.

About the application

The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English.

Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.

The application must include:

• Cover letter describing your background and motivation (maximum 1 page).
• CV (including education and relevant working experience) and relevant certificates/ attestations.
• Transcripts and diplomas for Bachelor's and Master's degrees.
• Brief research vision for the position (maximum 2 pages).
• Names and contact information of three referees.
• List of publications and/or other relevant research work (if any).
• Documentation of English proficiency (if available).
• If available: a copy of the Master's thesis (documentation of a completed master's degree must be presented before taking up the position).
   

If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both Bachelor's and Master's education, in addition to other higher education. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.

Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation.

When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates.

NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).

General information

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the exemption is not granted.

If you think this position looks interesting and in line with your qualifications, you are welcome to apply.

If you have any questions about the position, please contact Professor Stefan Werner at stefan.werner@ntnu.no.

 If you have any questions about the recruitment process, please contact HR at e-mail: hr@ies.no

Application deadline: 06.04.2026

For practical information about working at NTNU, please visit this webpage. 
 

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality. 

Om arbeidsgiveren:

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Electronic Systems

The digitalization of Norway is impossible without electronic systems. We are Norway’s leading academic environment in this field, and contribute with our expertise in areas ranging from nanoelectronics, phototonics, signal processing, radio technology and acoustics to satellite technology and autonomous systems. Knowledge of electronic systems is also vital for addressing important challenges in transport, energy, the environment, and health. The Department of Electronic Systems is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

About the position

Integreat – the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo – invites applications for a postdoctoral fellowship in preference learning for LLMs. We seek a motivated researcher who values collaboration, inclusivity, and impact, and who will contribute to a supportive, interdisciplinary research environment with a strong focus on mentoring and career development.

Starting date: upon individual appointment and no later than 1 October 2026.

The appointment is a fulltime position at the Department of Informatics and is for a period of three years. Depending on the candidate and the teaching needs of the department, the fellowship period can be extended for either compulsory work consisting of e.g., teaching and supervision duties and research assistance up to four years.

No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo.

Place of work is Integreat – Norwegian Centre for Knowledge-driven Machine Learning at Blindern, University of Oslo.

About the project

The intended focus of the position is to advance the research on preference learning for LLMs, including the use of synthetic data, and in particular for data-constrained settings. We welcome applicants with a strong background in NLP and practical experience with LLM development; experience in statistical modelling is an advantage. The project involves close interdisciplinary collaboration between statisticians and NLP researchers at Integreat.

The position is also affiliated with the Language Technology Group (LTG) at the UiO Department of Informatics (IFI). LTG is an international and diverse group, with research targeting a broad range of areas within NLP, including training and benchmarking of large language models (LLMs). The research profile of the group is heavily machine-learning oriented and the group has access to excellent HPC infrastructure. For more information about LTG, please see: http://www.mn.uio.no/ifi/english/research/groups/ltg/

The successful applicant will benefit from close collaboration across disciplines and access to diverse application areas through the joint environment of Integreat and LTG.

The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period. Professional development plan for postdoctoral research fellows - The Faculty of Mathematics and Natural Sciences. 

Integreat provides a researcher training programme, INTREF — the Integreat Young Researchers’ Forum — a fellow driven initiative offering scientific training, transferable skills workshops, mentorship, research visits, and career development support.

What skills are important in this role?

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Qualification requirements:

• The candidate must have a PhD degree (or other corresponding education equivalent to a Norwegian doctoral degree) in Natural Language Processing, or in Computer Science with a clearly NLP-based dissertation.
• The doctoral dissertation must have been submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are eligible for appointment.
• Fluent oral and written communication skills in English.
• Demonstrated research excellence in NLP, evidenced by publications in top‑tier peer‑reviewed NLP conferences or journals.
• The candidate must demonstrate broad knowledge of core NLP tasks.
• The candidate must have comprehensive knowledge of contemporary neural machine learning techniques and architectures in NLP, both in terms of theoretical understanding and practical experience, including fine-tuning of Large Language Models (LLMs).
• Strong programming skills and implementation experience

Desired qualifications:

• Background in statistics or experience with large-scale ML experimentation (HPC) is beneficial.
• Experience mentoring students, collaborative research, and reproducible ML practices are valued.

All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the national security regulation.

Personal skills 

We seek motivated candidates who:  

• are open minded and curious
• can work independently and contribute constructively to interdisciplinary teams, including collaborating across disciplines and communicating results to diverse audiences
• demonstrate strong analytical and problem solving abilities
• have excellent written and verbal communication skills
• are positive and resilient, and value inclusive teamwork and collegiality

Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal qualifications.

We offer

• A unique research environment with multiple opportunities to develop research themes at the forefront of modern science
• A friendly, inclusive, and collaborative international working environment that values diverse perspectives
• Access to a strong network of top-level national and international collaborators
• A reliable and generous pension agreement, along with strong public benefits
• Comprehensive welfare schemes supporting both personal and professional well-being
• Full access to public health services through membership in the National Insurance Scheme
• A vibrant academic environment with an active and supportive research community
• Structured career development programmes at the faculty level and Integreat, and an individual professional development plan throughout the postdoctoral period. Postdoctoral development programmes.
• Mentoring and support structures tailored to early-career researchers
• Flexible working conditions, with understanding for different life situations and family responsibilities
• Research mobility funds supporting short research stays and international collaboration
• Family-friendly surroundings in Oslo and Tromsø, with rich opportunities for culture, nature, and outdoor activities
• A clear institutional commitment to gender equality and diversity, with dedicated initiatives and networks for women in science
• Opportunity of up to 1.5 hours a week of exercise during working hours.  
• 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 NOK 595 000 - 690 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund

We need different perspectives in our work 

Integreat is committed to equity, diversity, inclusion, and belonging, guided by our INTEGREAT principles (Integrity, Non discrimination, Tact, Environment, Gratitude, Respect, Empathy, Accountability, Transparency). We embed these values in practice through inclusive hiring and structured evaluations, targeted mentoring and career development, and flexible work arrangements and accommodations to ensure everyone can thrive and contribute.

We particularly welcome applications from women and gender minorities who are underrepresented in STEM, as well as applicants with immigrant backgrounds, disabilities, non linear career paths, or career breaks. We will take career interruptions and diverse career trajectories into account during evaluation.

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 our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues—could you be the next one?

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. 

Application

The application must include:

• Cover letter describing your motivation for applying for the position, summarizing previous research experience, research interests and how own qualifications match the announced position, max. 2 pages
• CV with complete overview of education, positions, pedagogical experience, administrative experience and other qualifying activity 
• Copies of educational certificates, academic transcript of records
• A complete list of publications and up to 5 academic works that the applicant wishes to be considered by the evaluation committee
• Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for the position".

When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language.

General information

The best qualified candidates will invited for interviews. 

We assess applicants on the basis of qualifications and potential. We will take career breaks and non-linear career paths into account. The evaluation will be structured and applied consistently to all candidates. Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.

If an applicant has applied for and been granted funding for a fulltime research stay abroad while being employed as a Postdoctoral Research Fellow, the employment will be prolonged with the equivalent time as the research stay, but for no longer than of twelve months ( thus extending the employment to a maximum of four years)

No one can be appointed twice as a Postdoctoral fellow financed with funds from The Research Council of Norway (NFR).

Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can't, you will hear from us.

The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.

Om arbeidsgiveren:

The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 26 500 students and 7 200 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.

Integreat – Norwegian Centre for Knowledge-driven Machine Learning - Integreat is a Centre of Excellence, funded by the Research council of Norway. Integreat has two branches, one in Oslo (University of Oslo, UiO) and one in Tromsø (UiT The Arctic University of Norway). 

Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. This will be done by combining the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language technologies, ethics and machine learning, in new and unique ways.

Focus of Integreat is to develop ground-breaking methods and theories, and by this solving fundamental problems in science, technology, health and society. Integreat draws on the research strengths of researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology at UiO, the Norwegian Computing Centre (NR) and the ML group at UiT, with members from the departments of Physics and Technology, Mathematics and Statistics, and Computer Science.

Working at our factory, we are looking for the ideal candidates to join our team in the production of marble and other stone related projects. The ideal candidate will have the role to work with CNC machines mainly on 5 axis CNCs, 3 axis CNCs and Waterjet