PhD position in Exercise Physiology and Nutrition

Associate Professor / Professor in Sport Nutrition

The Norwegian School of Sport Sciences

The position​ A full-time position as Associate Professor / Professor in Sport Nutrition, with a particular focus on performance nutrition, is available at the Department of Physical Performance at the Norwegian School of Sport Sciences (NIH) from December 2026 or soon thereafter.  The position is closely linked to the establishment of a new Master program in Sport Nutrition starting in August 2026, where the successful candidate is expected to play a central role in program development, teaching, and supervision. The Department of Physical Performance has a long history of basic and applied research, focusing on biological effects of physical training from molecule to integrated physiology.  The research spans fields such as: • exercise physiology • biomechanics • nutrition • and sport-specific performance often conducted in close collaboration with national and international sport federations and industry partners.  Competence requirements​ The department is seeking a highly qualified and motivated candidate to contribute to teaching, research, and academic leadership within sport nutrition, particularly in relation to nutrition for performance, training adaptation, and athlete health. The successful candidate is expected to have a strong international research profile and documented expertise in areas such as: • Applied sport nutrition for athletic performance, including nutrition strategies for training, competition, and recovery • Energy availability, metabolism, and body composition in athletes • Dietary assessment methods and nutritional interventions in sport settings • Physiological and/or molecular responses to nutrition in relation to performance and training adaptations • Collaboration with athletes, teams, or sport federations in applied performance contexts Experience with advanced methodologies (e.g., metabolic measurements, biomarker analysis, body composition techniques such as DXA, or dietary tracking technologies) will be considered an advantage. Strong competence in statistical analysis and data interpretation is required. The candidate must document: • A strong record of high-quality scientific publications • Experience in teaching and supervision at bachelor’s, master’s, and preferably PhD level • Experience in research collaboration, including interdisciplinary work and external partnerships The successful applicant is expected to: • Play a central role in the development of the sports nutrition research field at the institution • Contribute actively to interdisciplinary collaboration within the department • Participate in teaching and course development at undergraduate and graduate levels • Supervise bachelor, master, and PhD students • Have a PhD (or equivalent) in sport nutrition, human nutrition, exercise physiology, or a closely related field is required. For appointment as Professor, additional emphasis will be placed on: • Extensive academic leadership and supervision experience • A substantial and sustained record of high-impact research • Proven ability to attract external research funding • International recognition within the field A prerequisite for permanent employment is documented basic pedagogical competence (university teaching certification). Applicants who do not meet this requirement at the time of hiring must obtain it within two years. Selection criteria​ Applicants will be assessed based on: • Quality, relevance, and impact of scientific work • Teaching experience and supervision at all levels • Experience with external collaboration and applied sport contexts • Ability to attract external funding and disseminate research • Interpersonal and communication skills Proficiency in oral and written English is required. Applicants who do not speak a Scandinavian language must acquire Norwegian language skills at level B2 within three years. The application​ • Applicants will be assessed by an expert committee. By the application deadline, please upload the following documents together with your application:  • Application letter  • CV (including teaching and supervision experience and the name and contact information of at least three references)  • A complete list of publications  • Copies of certificates/diplomas (including formal education in pedagogics, if applicable)  • A statement of future research plans and information about research activities  • Teaching qualifications and management experience.  The Application must be in English.  If the applicant wants other material to be considered in the evaluation (publications and other documentation of research and teaching qualifications, as well as management experience), such material must be clearly specified and available electronically. Working conditions​ • Salary is offered according to the Norwegian State pay scale (employment code 1011 for Associate Professor / 1013 for Professor), on a scale, for associate professor from NOK 790 000 to 890 000, for professor from NOK 890 000 to 1 000 000. For particularly well-qualified candidates, a higher salary may be considered.  • The appointment will be made according to terms applying to civil servants.  • NIH is a member of the Norwegian State Pension Fund. • Working place is Department of Physical Performance at NIH. • Excellent training facilities, corporate sports team, and opportunities for training during working hours. • Immediate proximity to the subway, as well as parking, and locked bicycle parking. Other information​ Selected candidates will be interviewed.  Inclusion and diversity are strengths, and NIH has a personnel policy goal of achieving a balanced gender composition. Furthermore, NIH seeks employees with diverse skills, subject combinations, life experiences, and perspectives. If you are a qualified applicant with a disability, a gap in your CV, or an immigrant background, we encourage you to tick the box in the job applicant portal for this. NIH will invite at least one applicant for an interview if they are qualified, and if you get the job, we will strive to accommodate any needs you may have. The ticking is used solely for anonymized statistics, apart from selecting the right candidate. According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure. In our recruitment system, applicants will be given the opportunity to request to be exempt from public access, but it is up to the employer to determine whether the request shall be approved or not. If the applicant's desire to be exempt from public access is not approved by the employer, the applicant will be notified so that he/she can withdraw the application. Kontaktinformasjon​ Interested applicants are advised to contact the academic community in preparing the application.  Further details can be obtained by contacting: • Head of Department, professor Truls Raastad, tel. +47 91368896,  trulsr@nih.no  For questions regarding submitting an application or about the recruitment system Jobbnorge, please contact senior adviser HR, Bente Johansen-Aarbostad, bentejoh@nih.no

PhD Position in Sport Management

The Norwegian School of Sport Sciences

The position and the scientific work​ The Department of Sport and Social Sciences, NIH, is advertising a three-to-four-year (depending on teaching assignments) PhD position in the field of sport management. The department comprises a broad academic environment that conducts research in sports philosophy, sports history, sports sociology, sports psychology, coaching, and sport management. The PhD project is partially predefined and focuses on how organized sport can contribute to increased physical activity among adults. Sport and physical activity are widely recognized as important contributors to public health, both in terms of physical and mental well-being. Nevertheless, participation levels among adults remain a challenge. According to the EU statistics on income and living conditions (EU-SILC), only around 50% of the Norwegian population participated in sport and physical activity in 2024. Among those who are physically active, the majority use facilities in the commercial sector, such as private fitness centers, while only about 10% of adults aged 16 and above participate in sport and physical activity through organized, non-profit sport clubs and organizations. While physical activity in the commercial sector can generate important health benefits, organized sport may offer additional societal and individual value. In particular, participation in sport clubs and voluntary organizations can foster social interaction, community building, and a sense of belonging while also supporting the integration of (newly arrived) immigrants.  These social dimensions are increasingly relevant in light of rising concerns about loneliness and social isolation—especially among older adults, but also among younger age groups—as well as ongoing processes of global migration.  Loneliness is known to be associated with negative mental health outcomes, underscoring the importance of examining the social benefits of physical activity within organized sport settings. The PhD candidate will have considerable freedom to define the specific focus of the project within this overall thematic framework. The project must be grounded in relevant sub-disciplines within sport management, such as organization, marketing, communication, governance, or sport policy.  The project should ideally focus on the Norwegian/Scandinavian context, but comparisons with other contexts can be integrated. Possible research directions include, but are not limited to, how organizational structures, practices, and offerings within organized sport can be developed to attract, include, and retain adult participants.  A potential focus may also be on collaboration and interaction between actors within organized sport (e.g., sport clubs and federations) and actors outside the sport sector (e.g., sponsors, commercial providers, or public authorities), including how relationships within the broader sports ecosystem can contribute to increased participation among adults.  The candidate may further choose to focus on specific adult population groups, such as older adults or retirees, or young adults, where new participation patterns and challenges—such as increasing mental health concerns—are emerging. Job Description​ The main tasks for a PhD candidate at NIH are to: • complete an independent research project under supervision, • complete PhD courses or other equivalent educational activities corresponding to approximately 30 ECTS points, • actively participate in research environments, including collaboration with fellow researchers, and • disseminate research results, both at international conferences and in scientific journals. • optional: The candidate may be engaged in teaching and supervision tasks depending on the department's teaching needs and the candidate's competencies. Competence requirements and candidate profile​ Applicants must be qualified for a PhD candidate position at NIH and must have a completed Master's degree in sport management or a related field with relevance for the announced position (minimum grade requirement B or international equivalent). For further information about NIH’s Ph.D.-program. Selection criteria and preferred candidate profile:​ • Quality and relevance of educational background and the master’s degree • Quality and relevance of the project description • Personal suitability. The successful candidate • is ambitious and has the ability of independent and creative thinking, • enjoys working in an interdisciplinary environment, and  • has excellent oral and written communication skills in English. Experience with relevant research can be an advantage. Mastery of a Scandinavian language will strengthen the application.  Formal regulations​ For more information about the PhD program at the Norwegian School of Sport Sciences, please see the rules and regulations for appointments to Ph.D. Research fellowships at NIH. Employment is subject to the conditions applicable to state employees. NIH has mandatory membership in the Norwegian Public Service Pension Fund. According to the Freedom of Information Act § 25, second paragraph, information about the applicant may be disclosed even if the applicant has requested not to be included on the applicant list. Inclusion and diversity are strengths, and NIH has a personnel policy goal of achieving a balanced gender composition. Furthermore, NIH seeks employees with diverse skills, subject combinations, life experiences, and perspectives. If you are a qualified applicant with a disability, a gap in your CV, or an immigrant background, we encourage you to tick the box in the job applicant portal for this. NIH will invite at least one applicant for an interview if they are qualified, and if you get the job, we will accommodate any needs you may have. The ticking is used solely for anonymized statistics, apart from selecting the right candidate. Contact information​ Interested applicants are advised to contact the academic community in preparing the application. Further details can be obtained by contacting: • Professor and Head of Department, Lone Friis Thing; email: loneft@nih.no;  phone.+47 23262401 • Professor Chris Horbel; e-mail: chrish@nih.no; phone: +47 23262440 • HR department, Senior Adviser, Bente Johansen-Aarbostad; email: bentejoh@nih.no  • PhD program, Senior Adviser, Mari Corell; email: maric@nih.no How to apply​ The applicant must submit: • A personal application letter. • CV (summarizing education, professional experience and positions, academic work including publications, etc.) • Copies of educational certificates and grades. • Description of a PhD project of relevance to the position. The project description includes formulations of objectives and research questions/hypotheses, as well as relevant theoretical approaches and methods. The complete project description should not exceed 10 pages, excluding the bibliography (12-point font, 1.5 line spacing).  • Names, e-mail address, and telephone number of 2 to 3 referees (describe relation to applicant). For further details on the application to and enrollment in NIH’s PhD program, please see here.  Applications will be handled according to the relevant regulations as defined in the Norwegian Open Files Act.  Short-listed applicants will be called for interview. The application can be written in a Scandinavian language or in English.  The application with attachments must be delivered in our electronic recruiting system. Please note that all documents must be in English or a Scandinavian language.  International applicants, or applicants who hold an international degree, are advised to apply the Norwegian Directorate for Higher Education and Skills for recognition of education from abroad. NIH offer​ • Salary as a PhD research fellow in position code 1017, starting salary gross annual salary NOK 550 800 (according to Basic Collective Agreement for the Civil Service) • A good and active working environment at the Department  • Good arrangements for pension, loans, and insurance in the Norwegian Public Service Pension Fund • Excellent training facilities, corporate sports teams, and opportunities for exercise during working hours • Immediate proximity to the metro and locked bicycle parking

PhD Research Fellow in computer science/AI for energy informatics

University of Oslo

About the position​ We invite applications for position as PhD Research Fellow in computer science/AI for energy informatics available at the Department of Informatics (IFI), UiO Starting date: as soon as possible, no later than Sept. 2026. The fellowship period is three years.  Depending on the candidate and the teaching needs of the department, the fel-lowship period can be extended either for compulsory work consisting of e.g., teaching and supervision duties and research assistance up top four years. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Place of work is the Department of Informatics at Forskningsparken, Oslo. Job description​ Description about scope of the PhD research:​ Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and interdisciplinary collaborative research, and looking for a PhD position, this opportunity can be for you. The Energy Informatics EI@ND Networks and Distributed Systems group at the Department of Informatics (IFI), University of Oslo (UiO) is seeking a highly motivated PhD candidate for a fully funded full time PhD position for the Norwegian National AI Center on AI for Decisions (aiD). The fellowship is for research training for a period of 3 years leading to the successful completion of a PhD degree. As a PhD candidate with us, you will gain valuable experience opening up exciting career opportunities in academia and industry. About the Project:​ The position will be part of AID, the Norwegian Centre on AI for Decisions, an interdisciplinary national AI centre in Norway led by NTNU and SINTEF. AID brings together academic institutions, research organizations, and more than 50 professional organizations. Its primary objective is to advance AI for decision-making through fundamental research and real-world use cases, ensuring that AI-enhanced human decisions and autonomous systems are effective, safe, and trustworthy in sectors critical to society. The global energy system is undergoing a profound transformation driven by the rapid uptake of distributed renewable energy resources and the envisioned empowerment of prosumers. Thus, the traditional centralized grid is evolving into a highly distributed, data/ computation-intensive, AI-driven ecosystem in which smart meters, microgrids, aggregators, and edge devices actively participate in energy production, storage, consumption, and market interactions. This transition is fundamentally reshaping the structure of energy networks, shifting from centralized control to distributed, prosumer-driven ecosystems where interconnected multi-agents interact strategically in dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently multi-agent, strategic, and resource-constrained. Each agent has its own objective (e.g, cost, profit, comfort, sustainability, etc.) and interacts with other agents for shared resources (e.g., grid capacity, energy prices). In this new paradigm therefore, multiple autonomous agents including households, aggregators, and grid operators-must make real-time, interdependent decisions under shared constraints and competing objectives. Multi-agent learning and optimization show promise in this regard. Yet, the deployment of AI for decision making in critical infrastructure like the energy sector introduces challenges related to safety, fairness, accountability, transparency, and explainability (FATE), as well as compliance with emerging regulatory frameworks such as the EU AI Act and Data Act. More About the Position:​ In this project, you will develop game-theoretic AI frameworks by integrating Data-driven intelligence with principled decision structure for multi-agent decision making in energy systems. In addition, you will derive formal FATE metrics for the energy system and develop Explainable AI solutions to ensure transparency while also addressing privacy preservation and computation-efficiency requirements at the energy edge. Further, you will incorporate compliance-by-design AI architectures and models and validate our solutions across key energy use cases such as energy market optimization (demand response, transactive energy peer-to-peer trading, and renewable integration) and (energy edge+) distribution grid resilience. Duties of the position:​ • Carry out research of high quality within the scope and framework described above • Actively Participate in activities of the Energy Informatics/ND research group • Complete academic training consisting of coursework corresponding to a minimum 30 ECTS • Produce publications of exceptional quality in relevant conferences, journals and actively contribute in popular science dissemination • Participate in international activities such as conferences and/or research stays in foreign educational institutions  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 (120 credits equivalent of the Norwegian Master’s degree program) in Electrical Engineering, Communication Engineering, Computer Science or other relevant discipline, with a Master Thesis in the Master’s degree program. • Foreign completed degree (M.Sc.level) corresponding to a minimum of four years in the Norwegian educational system • Must have documented solid mathematical foundations on optimization (e.g., optimization modelling and numerical optimization), game theory, AI/ML (A focus on explainable AI e.g., will be valuable) • Must have documented Background/Knowledge on Energy/Systems/Energy Informatics and edge intelligence etc. • Must have documented significant Knowledge/Research Background, or Must be able to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed ML. • Must have very good programming competence in Python, Java, C/C++ or equivalent • Fluent oral and written communication skills in English Desired qualifications:​ • Publications in reputed journals and conferences in the field • Excellent presentation skills • Experience working in an cross-disciplinary/International Team 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 For more information see: The purpose of the fellowship is research training leading to the successful completion of a PhD degree.  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:​ • Ability to work both independently and as part of a team • Ability to work precise in a structured manner and swiftly adapts to new tasks • Good communication and collaboration skills • Positive attitude and the ability to handle hectic periods The candidate should demonstrate: • strong motivation, curiosity, proactiveness and a learning-oriented mindset • capability to work independently, take initiative, and maintain good structure and discipline in their work • communicate effectively and collaborate well with supervisors and peers • resilience and work constructively when facing challenges or setbacks • integrity and a strong sense of responsibility in their research conduct • high interest and motivation for collaboration with industrial and interdisciplinary teams • ability to write in a structured, clear and concise manner The evaluation considers many aspects of excellence, as well as the personal drive and organizational skills. The candidate should also possess good interpersonal and communication skills and show high level of motivation to work as part of an international team. 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 • Three letters of recommendation • Names and contact details of three references (name, relation to candidate, e-mail and telephone number) • Documentation of English proficiency if applicable • List of publications and academic work that the applicant wishes to be considered by the evaluation committee 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.