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Professor or Associate Professor in Computer Science or Data Science – INN, Norway Jun 2022

Norway

Department of Business administration at Inland Norway School of Business and Social Sciences invites applications for a computer science or data science/business analytics position, Norway – Jun 2022

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General Info

Position: Professor/Associate Professor
No. of Positions: 1
Research Field: , ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: Subject to Norms
Salary: According to standard norms

Workplace:
Department of Business Administration

Inland Norway University of Applied Sciences (INN), Norway

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Qualification Details

Formal qualifications

We are looking for a candidate that fulfils the following qualifications:

  • PhD degree in computer science, data science, business analytics or the like.
  • Strong skills in quantitative methods in general.
  • Skills within some of the following areas: data structures, algorithms, data engineering, artificial intelligence, machine learning, databases, data mining, computer graphics and visualisation, image-, sound-, and text recognition/processing.
  • Strong programming skills.
  • Competence within business and economics is desirable.
  • Documented practical-pedagogical education and experience, preferably aimed at higher education, cf. Regulations on employment and promotion in teaching and research positions. Applicants who cannot document pedagogical competence during employment are obliged to complete INN University's course in university college pedagogy or equivalent within two years from the date of appointment.

Language skills: English oral and written. Knowledge of a Scandinavian language is desirable.

Personal skills:

  • We seek a candidate with the ability to work independently and purposefully, but who can also cooperate and be in charge of teaching- and research tasks.
  • The final assessment will emphasise good communication skills, both orally and in writing.

For more information on the formal qualification requirements, see Regulations on employment and promotion in teaching and research positions

The assessment of which candidate is best qualified for the position is made after a comprehensive evaluation of education, experience and personal compatibility and other qualification requirements as formulated in the vacancy text, as well as motivation for the position.

Responsibilities/Job Description

The faculty has recently introduced a new M.Sc. program with a major in Business Analytics.

Responsibilities and tasks

The successful candidate will participate in a growing research environment with state-of-the-art knowledge on quantitative research within topics relevant to our PhD and M.Sc programs. We require the candidate to teach in the master’s programme, in courses such as “Data Engineering”, “Machine Learning”, “Programming”, etc. Supervising master- and PhD students will also be a part of the position. We expect the right candidate to be a vital part of a growing and dynamic research group.

Relevant competence includes information systems, data engineering, database architectures, and advanced data management. We are looking for candidates with comprehensive knowledge about predictive analytics and machine learning techniques. Experience with business optimisation and computer based simulation is desired. We also look for candidates with skills in (real-time) visualisation (e.g., dashboards) and automated decision support tools and methods.

The position is permanent and is located in Lillehammer.

How to Apply?

Application Method: Online Application
Ref. No.: -

Application Procedure

Application and CV are to be registered electronically via "apply for position"

The application must include:

  • Application letter
  • Comprehensive overview of education, diplomas, work experience, pedagogical experience, administrative experience, acquisition work, coordination experience and other qualifying activities
  • Documentation of pedagogical qualifications in a systematic, comprehensive presentation, including overview of formal pedagogical training, pedagogical practical experience (e.g. teaching / supervision experience), experience in study programme quality development, development of educational programmes, curriculum development, etc. In addition, one page of reflection on your pedagogical background and your own pedagogical development is required
  • Overview of externally funded projects
  • List of publications
  • Up to 15 works for assessment

If you have any questions about uploading an attachment or other technical matters regarding the application, Jobbnorge customer service can be contacted. Contact information is provided as a link in the application form.

Relevant applications will be considered by an expert committee. Comprehensive CVs, certified copies of diplomas and certificates, publication lists and documents/works to be considered must be submitted as electronic attachments or links to the application.

Qualified applicants will be invited to an interview and a test of practical teaching skills.

Requests for exemptions from the public applicant list must be clearly justified and stated via the electronic application form. Applicants will be contacted if INN University cannot comply with the request (cf. § 25 of the Freedom of Information Act).

The state workforce should, as far as possible, reflect the diversity of the population. It is therefore a personnel policy goal at INN University to achieve a balanced age and gender composition and to recruit people with an immigrant background. If necessary, the working conditions are adapted for persons with disabilities. If applicants declare in their CV that they have a disability, this information may be used for registration purposes in connection with the target employment numbers.

About the Employer:

Offer

  • An exciting and challenging job at a developing institution, dedicated colleagues and a supportive working environment
  • The position’s salary follows position code 1013 professor/1011 associate professor  in the state's wage regulations, determined according to competence and experience
  • Membership in the Norwegian Public Service Pension Fund with loan and pension benefits
  • For more information about INN University as an employer, please see here

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Contact details

Nils Kvilvang, Head of Department, Tel: +47 62 43 04 97, Mob: +47 404 08 796, email: [email protected]

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