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About the position
Center for Research on Digitalization and Sustainability (CREDS), a part of University of Inland Norway (INN), invites candidates to apply for a three-year PhD research fellowship: Challenges of Scaling Practice-Based Initiatives across Governance Levels in the Public Sector. The position is connected to the field of innovation studies focusing on public sector services, with particular attention to how practice-based initiatives with demonstrated effects often fail to scale, stabilize, or become institutionally embedded across governance levels. Within this broad area, relevant topics may include perspectives on organizational and institutional theory, complex adaptive systems, and co-creation of value in service ecosystems.
The position is connected to the Department of Organization, Leadership and Management. Depending on the department’s needs, and the candidate’s competence and preferences, the position may be transformed into a four-year position with 25% teaching duties. The workplace is at CREDS research group, University of Inland Norway (INN) at Kongsvinger.
Admission to INN’s PhD program, Innovation in Services in the Public and Private Sectors (INSEPP), is a condition for employment as a research fellow. The candidate is expected to participate actively in INSEPP’s activities. After commencement, the candidate must apply for admission to the PhD programme within three months. An agreement for admission to the PhD programme must be in place within six months after commencement.
Contact information:
Associate professor Petter Braathen, phone number: +47 90653688, petter.braathen@inn.no
Head of PhD programme Marit Engen, phone number: +47 61 28 81 07, e-mail: marit.engen@inn.no
About the project
The PhD research fellow will join an international team of researchers at CREDS, Inland School of Business and Social Sciences. The project addresses a persistent and underexplored challenge in public sector innovation: why practice-based innovations that demonstrate strong local effects often fail to scale, stabilize, or become institutionally embedded across governance levels.
The project focuses empirically on practice-based qualification pathways (e.g., within health care) targeting individuals at risk of social exclusion. The project will follow innovation initiatives in public sector that test practice-based pilot initiatives to address complex societal challenges. While such initiatives often demonstrate clear positive outcomes, they frequently encounter significant barriers when attempts are made to articulate, legitimize, and scale them within broader institutional and governance structures. As such, the project will investigate how structural tensions arise from differing rationalities, how complexity arise across levels of governance, the role of meaning-making processes, and experience of paradox situations.
Candidates are encouraged to define their own research design within this theme. This includes developing the specific research questions, theoretical perspective, empirical focus, and methodological approach in dialogue with the supervisory team and the academic
environment at CREDS. A broad range of methodological approaches is relevant for the theme, including qualitative case studies, action research, system dynamics modelling, and more. Please note that the project may later be modified in accordance with the supervisors’
advice and the academic research agenda of CREDS. The successful candidate will have a primary supervisor among CREDS’ academic staff.
Qualifications
- The candidate must have a master’s degree and thesis on a relevant topic.
- The master's degree must normally constitute 120 ECTS credits. INN’s PhD regulations
require that the qualifying education includes a master’s thesis of 30 ECTS. As a rule, the
average grade at master’s level must be B. - The qualifying degree(s) must be awarded from institutions in Norway, the EU/EEA or
Switzerland, or from an international institution accredited by AACSB, AMBA and/or
EQUIS. Where applicable, candidates should specify such accreditation in the
application. - Candidates who have not yet obtained the master’s degree at the time of application may
apply. In this case, candidates must have submitted their master’s thesis by the
application deadline. Temporary transcripts and the master’s thesis must be submitted
with the application. The final diploma must be available by the time of employment. - Candidates with a master’s degree from a university abroad must attach “Recognition of
foreign higher education” from NOKUT. Instructions for obtaining this assessment are
available from NOKUT, https://hkdir.no/en/foreign-education/education-from-outside-ofnorway/
recognition-of-foreign-higher-education-bachelor-master-and-phd - Oral and written English is required. Applicants from non-English speaking countries
must document their English proficiency in accordance with the Supplementary
Regulations for Admission to the PhD Programme at INN University. - Good oral and written proficiency in Norwegian or another Scandinavian language with a
minimum of B2 competence is required, as the project involves empirical data collection
within Norwegian-speaking public sector organizations where Norwegian is the primary
working language. - Relevant professional experience from practice-based settings in the Nordics, or in a
comparable context, is considered a strong merit.
Evaluation of candidates for the position will be based on a total assessment of educational
background, experience and personal suitability, as well as motivation and other eligibility
requirements, as defined in the advertisement. In assessing the applications, special emphasis
will be placed on the project proposal's scientific merit, research-related relevance and
innovativeness. In addition, the following will also be emphasized: documented independent
research and development work, or experience relevant to the project.
The position and associated tasks must be carried out in accordance with the applicable laws and regulations for government employees,
including also the Act on Control of the Export of Strategic Goods, Services and Technology, etc. Candidates who, after assessment of the
application and attachments, come into conflict with the criteria in the latter act, will not be able to take up the position at University of Inland Norway. Necessary approvals must be maintained throughout the employment relationship.
We offer
- An academically stimulating and supportive work environment at a developing institution. Possibility of professional development in an exciting academic research
environment. - Position is paid and placed in position code PhD candidate 1017 in the Government Salary Scale.
- Membership in the Norwegian Public Service Pension, with among other things, good pension and insurance schemes.
For more information about INN University as an employer, please see here.
Video: https://www.youtube.com/watch?v=F0FVnszhpJYHow to apply
Relevant applications will be considered by an expert committee. The application and all attachments are to be submitted electronically and should include the following:
- The applicant must submit a project proposal with a progress plan (in Norwegian or English, 2000 words) that explains how the research work will be carried out and addresses academic relevance, challenges and possibilities within the project. The PhD research fellow hired will, in collaboration with a supervisor, prepare a complete project proposal creating the basis for admission to the PhD program. The project proposal plays an important part in evaluating applicants and must show how the project will lead to a successful completion of a doctoral degree.
- Application letter
- CV (summarizing education, job positions, and academic work)
- Other work that is relevant for the application
- Certified copies of transcripts and diplomas for the whole bachelor and master’s degree. An English translation of all education documents is required unless the documents are in Norwegian/Scandinavian.
- Names and contact information of at least 2 reference persons.
- A copy of the master’s thesis (in PDF)
Attachments must be uploaded as separate files. If the attachments exceed 30 MB, they must be compressed prior to upload. It is the applicant's responsibility to ensure that all attachments are uploaded. Documents submitted after expiry of the deadline will not be considered in the evaluation of your application.
General information
INN believes that there is strength in inclusion and diversity. We desire employees with different competencies, professional combinations, life experiences and perspectives to contribute to an even better way of solving problems. We will facilitate for employees who need assitance to realise their goals. Relevant adaptations can be, for example, technical aids, adapting furniture or adjusting routines, work tasks and working hours.
If there are qualified applicants with disabilities, gaps in the CV or immigrant background, we shall call at least one applicant in each of these categories for an interview. In order to be considered as an applicant in these groups, the applicants must meet certain requirements. You can read more on this here: https://arbeidsgiver.difi.no/positivsaerbehandling.
We encourage applicants to tick in Jobbnorge if they have a disability, a gap in their CV or immigrant background. The ticks in the jobseeker portal form the basis for anonymised statistics that all state-owned enterprises report in their annual reports
Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.
Om arbeidsgiveren:
Universitetet i Innlandet har om lag 15 000 studenter og 1 450 ansatte. Vi har studiesteder i Lillehammer, Hamar, Elverum, Rena, Evenstad og på Blæstad, og tilbyr også noen utdanninger på Kongsvinger, Tynset og i Oslo.
NOKUTs styre godkjente Høgskolen i Innlandets søknad om universitetsakkreditering den 12. september 2024. 8. november besluttet kongen i statsråd at høgskolen ble Norges 11. universitet.
Universitetet i Innlandet er kjent for sterke og solide utdannings- og forskningsmiljøer som setter spor etter seg regionalt, nasjonalt og internasjonalt.
Visjonen vår er «Sterkere sammen - vi bygger universitetet i tverrfaglig fellesskap, sammen med samfunns- og arbeidsliv.»
The position
The Department of Mathematics and Statistics has up to three PhD position vacant from 01.01.2027 for applicants who wish to obtain the degree of Philosophiae Doctor (PhD). The position is affiliated to the Lie-Størmer Center. The Lie-Størmer Center is jointly hosted by UiT The Arctic University of Norway (UiT) and University of Bergen (UiB), Norway. The center will employ up to 8 PhD Research Fellows, whose research will focus on the interaction between algebra, differential geometry, analysis and computational mathematics, as well as their applications to data science and computational dynamics. You can read more about the project on its homepage www.lie-stoermer.no. The project is funded by the Tromsø Research Foundation (TFS), UiT and UiB.
In this call, we are interested in hiring up to 3 candidates who will be employed at the Faculty of Science and Technology, UiT in Tromsø. The appointment is for a period of three to four years, depending on whether teaching duties will be assigned.
The nominal length of the PhD programme is three years. If a fourth year is assigned, it will be distributed as 25 % each year to teaching and other duties.
The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position.
The workplace is at UiT in Tromsø. You must be able to start in the position within six months after receiving the offer.
The position’s field of research and other duties
Research at the Lie-Størmer Center (LSC) aims to explore uncharted territory at the interface of computational and pure mathematics, targeting foundational mathematical challenges relevant to the modern information society and geometric dynamical control in engineering. This project builds bridges between pure and computational mathematics, among
Mathematics departments in Tromsø, Bergen, and across Norway, and between high-level research and education within the ERCOM network of European mathematical research centers.
Computational mathematics is a cornerstone of modern science. Its methods are reshaping the foundations of pure mathematics, while abstract mathematical concepts generate fresh insights into algorithms and discretization techniques – critical for numerical computations and simulations. This convergence signifies a pivotal phase in the mathematical sciences, where the divide between pure and applied mathematics is narrowing. Advancing this integration demands collaboration across these fields, which the Lie-Størmer Center will champion.
The project is organized in multiple thematic areas and interaction between them. The candidate should specify 1 or 2 areas that they are interested in and qualified for. If a candidate has the ability to contribute to more than one work package, this is counted as a positive.
- Area1 - Lie Theory: Analysis and Geometry of Nonholonomic Systems
○ Areas of Research: Sub-Riemannian geometry and Cartan geometry, Vector Distributions and Supergeometry
○ Considered a plus: research/course focus on differential geometry. Knowledge of Lie theory, sub-Riemannian geometry or Cartan geometry, as well as proficiency in symbolic packages will count as a strong positive.
- Area2 – Polynomials, Ideals and Algebra
○ Areas of Research: Monomial and polynomial ideals, toric varieties, tropical varieties, relations to combinatorics.
○ Considered a plus: research/course focus on algebra or algebraic geometry.
- Area3 – Magnus Expansions and Signatures in Data Science and Engineering
○ Areas of Research: Signatures (in the sense of rough paths) applied to curves and surfaces, Magnus expansion, Hopf algebras, applications.
○ Considered a plus: research/course focus on stochastic analysis, algebra or rough paths. Knowledge of Lie theory or Hopf algebra will be considered as a benefit.
- Area4 - Algebra, Geometry and Topology for Complex Data Analysis
○ Areas of Research: Algebraic methods in data analysis, optimization, topological data analysis, geometric deep learning.
○ Considered a plus: experience in programming or course work in computer science, algebra, real algebraic geometry, topology or differential geometry, topological data analysis or machine learning.
Qualifications
- The position requires a master’s degree or equivalent in areas of pure mathematics related to above mentioned areas.
If you are near completion of your master’s degree you may still apply, provided that you include draft of your master thesis, statement from your supervisor/institution indicating when the degree will be obtained, and transcript of your grades.
- Applicants must document fluency of in English and be able to work in an international environment. Nordic applicants can document their English capabilities by attaching their high school diploma.
- You must specify 1 or 2 areas that you are interested in and qualified for. Research focus and/or experience as mentioned above related to the area you choose, will be considered an advantage. If a candidate has the ability to contribute to more than one of the areas, this is counted as a positive.
- In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis or equivalent, and any other scientific work. In addition, professional experience and other experience of significance for the completion of the doctoral programme will be taken into consideration.
- To obtain a four year position, any teaching qualifications will be counted as positive. This includes teaching education, teaching experience, experience from popularization and experience/education from other types of dissemination.
Please note that the application will only be assessed based on the documents submitted through www.jobbnorge.no by the application deadline. This includes documents that is needed to assess admission to the PhD programme. If necessary documents is missing, your application will not be evaluated. See under "Application" what documents you must submit.
Emphasis will also be attached to motivation and personal suitability.
As many people as possible should have the opportunity to undertake organized research training. If you already hold a PhD or have equivalent competence, we will not appoint you to this position.
Admission to the PhD programme
For employment in the PhD position, you must be qualified for admission to the PhD programme at the Faculty of Science and Technology and participate in organized doctoral studies within the employment period.
Admission normally requires:
- A bachelor's degree of 180 ECTS and a master's degree of 120 ECTS, or an integrated master's degree of 300 ECTS.
In order to gain admission to the programme, the candidate must document sufficient potential for research. The applicant must have a grade point average of C (strong 3.0) or better for the master’s degree, which must contain an independent work. A more detailed description of admission requirements can be found here.
If you are employed in the position, you will be provisionally admitted to the PhD programme. Application for final admission must be submitted no later than two months after taking up the position.
Applicants with a foreign education will be subjected to an evaluation of whether the educational background is equal to Norwegian higher education, following national guidelines from Norwegian Directorate for Higher Education and Skills. Depending on which country the education is from, one or two additional years of university education may be required to fulfil admission requirements, e.g. a 4-year bachelor's degree and a 2-year master's degree. UiT normally accepts higher education from countries that are part of the Lisbon Recognition Convention.
Inclusion and diversity
UiT The Arctic University of Norway is working actively to promote equality, gender balance and diversity among employees and students, and to create an inclusive and safe working environment. We believe that inclusion and diversity are a strength, and we want employees with different competencies, professional experience, life experience and perspectives.
If you have a disability, a gap in your CV or immigrant background, we encourage you to tick the box for this in your application. If there are qualified applicants, we invite at least one in each group for an interview. If you get the job, we will adapt the working conditions if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics.
We offer
- Involvement in an interesting research project
- Good career opportunities
- A good academic environment with dedicated colleagues
- Flexible working hours and a state collective pay agreement
- Pension scheme through the state pension fund
- PhD Fellows are normally given a salary of 565 000/year with a 3% yearly increase
- If you have to relocate to Tromsø then the Faculty of Science and Technology may reimburse your moving costs. Further details regarding this matter will be made available if you receive an offer from us.
Norwegian health policy aims to ensure that everyone, irrespective of their personal finances and where they live, has access to good health and care services of equal standard. As an employee you will become member of the National Insurance Scheme which also include health care services.
More practical information about working and living in Norway can be found here: https://uit.no/staffmobility
Application
Please note that the application will only be assessed based on the documents submitted through www.jobbnorge.no by the application deadline.
Your application must include:
- A brief account of the your research interests and motivation for applying for the position.
- CV
- Official diplomas for Bachelor's and Master's degree in the original language
- Official transcripts of grades/academic record for Bachelor's and Master's degree in the original language
- Official translation of diplomas and transcripts of records (ToR) to English or a Scandinavian language, if applicable
- Explanation of the grading system for foreign education (Diploma Supplement if available)
- Documentation of English proficiency
- Two references with contact information. One of these should be the main advisor for the master's thesis or equivalent.
- Master’s thesis, and any other academic works
Qualification with a master’s degree is required before commencement in the position. If you are near completion of your master’s degree, you may still apply and submit a draft version of the thesis and a statement from your supervisor or institution indicating when the degree will be obtained. You must still submit your transcript of grades for the master’s degree with your application.
All documentation to be considered must be in a Scandinavian language or English. If English proficiency is not documented in the application, it must be documented before starting in the position.
General information
The appointment is made in accordance with State regulations and guidelines at UiT. At our website, you will find more information for applicants.
The engagement is to be made in accordance with the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment.
After the appointment you must assume that there may be changes in the area of work.
A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted from the salary. You will become a member of the Norwegian Public Service Pension Fund, which gives you many benefits. Read more about your employee benefits at: spk.no.
A shorter period of appointment may be decided when the PhD Fellow has already completed parts of their research training programme or when the appointment is based on a previous qualifying position PhD Fellow, research assistant, or the like in such a way that the total time used for research training amounts to three years.
We process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According to the Personal Data Act information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure. You will receive advance notification in the event of such publication, if you have requested non-disclosure.
Assessment
The applicants will be assessed by an expert committee. The committee's mandate is to undertake an assessment of the applicants' qualifications based on the written material presented by the applicants, and the detailed description draw up for the position. A copy of the assessment report will be sent to all applicants.
The applicants who are assessed as best qualified will be called to an interview. The interview should among other things, aim to clarify the applicant’s motivation and personal suitability for the position.
Om arbeidsgiveren:
UiT The Arctic University of Norway is an internationally leading broad-based university. Our vision is to be a driving force in the North. The Northern Sami term eallju, which means diligence, sets the tone for UiT's drive. Together with students, staff, and society at large, we will utilize our location in Northern Norway and Sápmi, our academic breadth, and interdisciplinary advantages to shape the future.
UiT has approximately 18,000 students, more than 4,000 employees, and is established across four main campuses and seven additional study locations in Northern Norway and on Svalbard. Our largest campuses are Tromsø, Alta, Narvik, and Harstad. UiT has seven faculties, 40 departments and centers, and leading research environments in various fields. The university offers 269 study programs and focuses on educational quality.
Academic freedom, scientific principles, and research ethics form the foundation of all UiT's activities. Participation, co-determination, transparency, and sound processes will provide the basis for making wise and forward-looking decisions. Our students and staff will have the opportunity to develop their abilities and potential. Rooted in scientific integrity, we aim to be bold, engaged, and generous - closely connected to academia, people, and contemporary developments.
Read more about UiT's strategy towards 2030.