Kristiania University College offers study programs in management, organization, marketing, communication, computer science, information technology, health sciences, innovation and creative arts. Kristiania University College is Norway’s largest independent comprehensive university college with its 18,000 students and a large education offering in Oslo, Bergen and online. Our mission is to strongly contribute to the country’s social and economic development through problem-driven and applied knowledge development and dissemination, in close cooperation with society at large.
The School of Economics, Innovation, and Technology delivers research and study programmes at bachelor, master and PhD level. The emphasis for both research and study programmes are on economics, innovation, digitalization and information technology. Information science, information systems and the interaction between technology and human beings are other exciting focus areas.
The PhD programme in Applied Information Technology is offered from autumn 2022.
The PhD in Applied Information Technology at the School of Economics, Innovation and Technology (SEIT) is at the forefront of research on the business and organizational implications of digital technology, evolving applied computer science and of the understanding and design of new user interaction paradigms through information systems research and human-computer interaction studies.
PhD fellowships in applied information technology
Kristiania University College is offering a fully funded PhD fellowship for candidates with a solid background in applied information technology. The successful applicant will be included in a team of researchers with ambitious plans to further develop research and pedagogical activities related to the information technology field at the university college.
We seek candidates with a solid academic background in Data Science and data analytics. Additionally, experience in one or more fields related to information systems, information technology, logistics, supply chain management, and Sustainability is greatly appreciated.
The selected candidate will be working within the research project SANDAL- Sustainable and Data-driven approaches to Digital Transformation in Logistics.
The project investigates how sustainability and Data-driven approaches can provide business value for the transport and logistics sector. Despite their significant revenues and wide presence, the logistics sector is still in the nascent stages of using data-driven approaches to optimize its processes and transform towards Sustainability and carbon neutrality. Some of the challenges for the supply chain, transportation & logistics sector have been low margins, a non-tech savvy workforce, traditional work practices, and limited oversight of their supply chain and customer segments. However, the customers increasingly demand lower prices and better transparency; the regulators demand sustainable and green logistics. This combination of needs requires a high degree of digital transformation. There is a tremendous potential for using machine-learning methods in several operations such as demand forecasting, planning, managing inventories, optimizing transportation operations, etc. Therefore, the overall objective of this PhD project is to study how Artificial Intelligence and data-driven approaches will enable digital transformation and Sustainability in the logistics sector by using PostNord and other companies as case studies.
This PhD project will be hosted at Kristiania University College in Norway and carried out in collaboration with the Center for Business Data Analytics at Copenhagen Business School (CBS), Denmark, and PostNord Logistics as one of the case companies. We are looking for an enthusiastic candidate with a solid academic background in Data Science and data analytics. Additionally, experience in one or more fields related to information systems, information technology, logistics, supply chain management, and Sustainability is greatly appreciated. The candidate will be exposed to the unique research and education environment at Høyskolen Kristiania and will have the opportunity to collaborate closely with the researchers and PhD students at the Center for Business Data Analytics, Copenhagen Business School. This PhD will be supervised by Raghava Mukkamala and Lester Allan Lasrado.
Interested candidates may submit a research proposal using the linked template (this is optional).
Confirmed admission to the Ph.D. programme must be available at the latest three months after signing the employment contract. To be accepted for this program, it is required with a relevant 180 ECTS bachelor’s degree, and a relevant 120 ECTS master’s degree (or integrated bachelor and master) with minimum 30 ECTS master thesis, and with grade similar to the Norwegian/European grade B or higher in average and for the master thesis.
The application must hold:
- Motivation letter for the position
- Approved Diplomas and Transcripts (in Scandinavian or English language)
- At least two references
- Master thesis
- Foreign education requires recognition from the Norwegian Agency for Quality Assurance in Education (NOKUT). Check the status of your university or read about the recognition process here
Candidates are encouraged to submit a research proposal using the linked template, but this is not a requirement for applying to the position.
The starting salary is 501,200 NOK a year.
The Ph.D. research fellowship period is 3 years and the (latest) starting date is August 1. 2023.
Working place is School of Economics, Innovation, and Technology. The School is located in downtown Oslo, with numerous amenities, recreational spaces, and urban fun right next door.
Kristiania University College welcomes and encourages applications from diverse backgrounds. Women are particularly encouraged to apply.
Application deadline: 15 February 2023. Qualified candidates will continuously be screened until the position is filled.
Only applications received through our application portal will be considered
Post expires on Wednesday February 15th, 2023