OsloMet – Oslo Metropolitan University is Norway’s third largest university, with nearly 22,000 students and 2,200 employees. Through the students we educate and the research we produce, the university has a direct impact on society, both in Norway and beyond. The university has two campuses, one in central Oslo and another a short distance from the city in the municipality of Lillestrøm. OsloMet is home to some of Norway’s largest and oldest educational programmes, including degree programmes in nursing, engineering and teacher education. The university is also a hub of research and technological innovation aimed at strengthening and sustaining the Norwegian welfare state.
The Faculty of Technology, Art and Design (TKD) offers higher education and research and development (R&D) activities within technical subjects, arts and design. The Faculty has approximately 4.000 students and 400 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller Campus in Viken.
The Department of Computer Science offers three bachelor’s degree programmes, a master’s degree programme, and is part of a cross-departmental PhD program. Academic staff at the department are pursuing research in a wide range of areas including computer science, the natural sciences, and innovation and management. Both students and researchers are also involved in an increasing number of interdisciplinary initiatives across the university.
The department of Computer Science has a vacancy for a permanent position as an Associate Professor in Mathematics, Statistics, or a related field.
We are seeking a candidate with a passion for teaching.
Your main duties and areas of responsibility will be to
- teaching of mathematics, statistics, and possibly related subjects mainly at the bachelor and master level, including preparation of exams, exam marking guides, and exam paper marking
- supervision of students individually and in groups
- contribute to development of subjects and educational methods
- research within a field relevant for the position
- perform administrative tasks and duties related to the position
- Ph.D. in mathematics, statistics or a related field
- documented competence at the master or Ph.D. level within computational methods
- experience with teaching and supervision in higher education
- applicants must document basic competence in teaching and supervision at a university and university college level. Candidates who have no relevant qualifications in pedagogy at the time of appointment must commit themselves to complete OsloMet's programme for basic pedagogical competence (15 ECTS credits) within two years
- proficiency in oral and written English is required. Applicants who do not have adequate proficiency in a Scandinavian language, must acquire Norwegian skills corresponding to at least level B2 within three years of commencement
The applicant must document relevant educational competence in accordance with OsloMet’s Guidelines for the assessment of educational competence at OsloMet.
General criteria for appointments to academic positions are covered by the Regulations for appointment and promotion to academic posts.
In the assessment and ranking of qualified applicants, emphasis will be placed on
- a passion for teaching and supervision at all levels
- teaching experience, good pedagogical abilities, and the ability to motivate and inspire students
- flexibility and ability to adapt the teaching to the needs of OsloMet and the faculty
- good digital competence and ability to use digital tools as aids in teaching and supervision
- practical experience with computational methods and programming in relevant languages such as e.g., Python is a large advantage
- good oral and written abilities in Norwegian, or another Scandinavian language is an advantage
- experience with interdisciplinary research and application processes related to research funding
Personal qualities required for the position
- the ability to work individually and take initiative
- personal skills that can contribute positively to the work environment
- good cooperation and communication skills
OsloMet conducts testing of pedagogical qualifications in connection with interviews.
It is important to OsloMet to reflect the population of our region, and all qualified candidates are welcome to apply. We make active endeavours to further develop OsloMet as an inclusive workplace and to make adaptations to the workplace where required. You are also welcome to apply for a position with us if you have had periods where you have not been in employment, education or training.
You will be assessed by an Expert Committee. You must upload the following documents with the application within the application deadline:
- application letter
- CV (including teaching and supervision experience and the name and contact information of at least three references)
- full list of publications
- copies of certificates/diplomas (including formal education in pedagogics, if applicable)
- up to ten full-text scientific articles, submitted together with a table of contents and a short introduction highlighting the relevance of the article to the profile of the position and a detailed description of the contribution to the article by the applicant
- scientific documents including Ph.D. thesis
- a text (up to 2 pages) outlining your relevant pedagogical experience and plans for pedagogical activity and development in the position (“teaching statement”) and the pedagogical stance of the applicant. This overview should also include recent student-evaluations
- a text (up to 2 pages) outlining your relevant research and plans for research activity in the position (“research statement”). This overview should include an overview of existing projects and research collaborators
- other relevant documentation
We only process applications sent via our electronic recruitment system and all documents must be uploaded for your application to be processed. The documents must be in English or a Scandinavian language. Translations must be authorised. Originals and ID must be presented if you are invited for an interview. OsloMet performs document checks to give you as a candidate a proper evaluation and ensure fair competition. Incomplete applications will not be considered.
Applicants will be assessed by an expert committee. Before submitting the application documents to the Expert Committee, all applications will be reviewed by the faculty, and applicants who do not meet the formal qualification requirements will not be submitted for assessment.
OsloMet has adhered to the principles in the DORA declaration and obliged the institution to follow the recommendations in this declaration.
If you have documents that cannot be uploaded electronically, please contact email@example.com.
- an exciting job opportunity at Norway’s third largest and most urban university
- participation in a dynamic professional environment and unique academic community
- interaction with a diverse student group
- loan and pension arrangements through the Norwegian Public Service Pension Fund, beneficial welfare schemes and a wide range of sports and cultural offers
The position is remunerated in accordance with the Norwegian State salary scale 60-74, job code 1011 Associate Professor. The salary is NOK 553 500 – 714 000 per year. A higher salary may be considered for particularly well-qualified applicants.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology.
If you would like more information about the position about the position, feel free to contact:
- Head of Group André Brodtkorb, e-mail: firstname.lastname@example.org, telephone: +47 67 23 59 24
Deadline for applications: 1. December 2022
Ref. no: 22/02243
OsloMet is a Charter & Code certified institution by the EU Commisson holding the right to use the logo HR Excellence in Research (HRS4R). OsloMet is a member of the EURAXESS network supporting a positive work environment for researchers in motion. OsloMet has signed The Declaration on Research Assessment (DORA). DORA recognizes the need to improve the ways in which the outputs of scholarly research are evaluated.