Inland Norway University of Applied Sciences (INN University) is home to over 14,000 students and 1,000 employees, and has campuses in Lillehammer, Hamar, Elverum, Rena, Evenstad and Blæstad.
INN University aspires to build strong and enduring academic and research environments that will spearhead regionally, nationally and internationally.
We are developing a new and better institution with high academic and pedagogical quality, aiming at achieving university accreditation by 2020.
Our vision is "Stronger Together".
The PhD programme Innovation in Services - Public and Private invites candidates to apply for PhD research fellowship in Big Data Innovation
The position lasts for four years with 25% teaching duties.The purpose of the Ph.D. Research Fellowship is for the admitted candidate to undergo a research training programme that leads to completion of a doctoral degree. The selected applicant will be expected to complete the PhD programme in 2024/2025.
The successful candidate is required to submit a proposal of a doctoral research training programme that is approved and agreed upon no later than 3 months after the date of commencement. The university will assist the selected candidate to formulate this agreement.
The PhD student will be a part of the growing innovation team at INSEPP during the Phd period. The reserch fellow will have a central place in the research environment within «Business Analytics» and will also become a member of the research group of the same name (led by Ørjan Mydland). Link to the researchgroup’s website.
Contact information:
Head of department, Per Søberg, phone number +47 41442159, e-mail: per.soberg@inn.no
Associate Professor Ørjan Mydland, phone number +47 90935042, e-mail: orjan.mydland@inn.no
Professor Erik Haugom, phone number +47 47067167, e-mail: erik.haugom@inn.no
The project
“Big data is one of the key economic assets of the future. Mastering the potential of big data technologies and understanding their potential to transform industrial sectors will enhance the competitiveness of European companies and result in economic growth and jobs. Europe needs a clear strategy to increase the competitiveness of European industries to drive innovation. Europe needs to foster the development and wide adoption of big data technologies, value adding use cases, and sustainable business models through a Big Data Ecosystem. Strategic investments are needed by both the public and private sector to enable Europe to be the leader in the global data-driven digital economy and to reap the benefits it offers with the creation of a European Big Data Ecosystem.” (Cavanillas et al. 2016, p. 10.)
Big data-driven innovation is relevant in most sectors and industries, but the objective of the PhD project is to empirically examine how big data-driven innovation can improve decision making in the energy, finance, and insurance sectors. The project will be an integral part of bigger research project on enterprise risk management (ERM), and the use of business analytics in these sectors in particular.
Examples of research questions that shall be answered in the project include (but are not limited to):
• What potentials for big data-driven innovation do exist within sectors that deals with big data daily, such as the energy- and finance sectors?
• How can the use of new and innovative big data-driven techniques be used to model and forecast risk in these sectors?
• How can information from multiple (big) data sources be combined to improve the overall enterprise risk management (ERM) of companies within these sectors?
• How can sophisticated techniques be presented/visualized to end-users to increase user value?
Qualifications and personal skills
We are seeking a candidate with excellent qualifications in quantitative methods, business economics and finance in general. It is also an advantage if the candidate has knowledge of innovation theory and (big) data driven innovation. Research experience is also an advantage (master thesis serves as a minimum level).
Additionally, candidates should have the following qualifications and personal skills:
Two-year Master's degree or equivalent, as defined in the Norwegian Qualification Framework in relevant disciplines, with the average grade B or better.
Other educational backgrounds can be considered on a case-by-case basis, if academically equivalent.
Applicants with a master’s degree from universities abroad, have to attach “Recognition of foreign higher education” from NOKUT. Instructions on how to get this master’s degree assessed and approved are given by NOKUT, cf.
Excellent communication skills, both oral and written, in English.
Overall good affinity with relevant ICT systems and relevant statistical software (such as R or STATA).
We are looking for a candidate who can work targeted and independently, but also in cooperation with others.
High work capacity and ability to initiate and implement in general.
Interested in collaborating with the academic community in the department.
The application and all attachments are to be submitted electronically and should include the following:
Application letter
Project description and progress plan (4-5 pages) for the work to be undertaken, where academic relevance and different challenges and possibilities within the project is being outlined.
CV (summarizing education, positions and academic work)
Copies of educational certificates
Letters of recommendation (if any)
A complete list of publications (if any)
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.
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.
We offer
An academically stimulating work environment with engaged colleagues and a growing institution
Good welfare benefits
Good pension benefits, under the Norwegian Public Service Pension Funds
The position’s salary follows position code 1017 PhD candidate in the state's wage regulations, a pay grade of 54 (NOK 482 200,- p.a). If 4 years with 25 % teaching duties is agreed upon, 25 % will be remunerated according to the appropriate level for a teaching position, on the basis of an evaluation of relevant qualifications.
For more information about INN University as an employer, please see here .
