Publisher
source

Molde University College

PhD position in Logistics with focus on Intelligent Procurement Molde University College in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

The appointment period is 3–4 years. A 4-year appointment includes 25% working duty (teaching, supervising, or administrative tasks). The position offers a gross salary from NOK 550,800 per year, with 2% deducted for the Norwegian State Pension Fund; a higher salary may be considered for especially qualified candidates.

Deadline

Sep 15, 2026

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Country

Norway

University

Molde University College

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Keywords

Computer Science
Information Technology
Artificial Intelligence
Business
Industrial Engineering
Management
Environmental Sustainability
Logistics Management
Procurement

About this position

Molde University College (HiMolde) is advertising a PhD position in logistics with focus on intelligent procurement within the Faculty of Logistics in Norway. The project sits at the intersection of logistics, supply chain management, procurement, artificial intelligence, sustainability, and information systems, with a strong applied focus on how enterprises can use AI to improve procurement performance, decision-making, resilience, and sustainability.

The research challenge highlighted in the call asks how organizations can leverage intelligent procurement to strengthen operational performance, managerial decision-making, and sustainability objectives. The project will be carried out in close cooperation with regional industrial partners and is intended to contribute to knowledge development, industrial innovation, and capacity building in this emerging area. Relevant themes include supplier relationship management, contract management, category management, circular procurement, supplier sustainability assessment, inventory imbalances, procurement risks, supply disruptions, data inconsistencies, and Digital Product Passports.

Applicants should hold a strong master’s degree in Supply Chain Management, Logistics, Information Systems, or a closely related field. Interdisciplinary profiles combining business and digital technologies are especially encouraged. The call also asks for a minimum average grade of B or better on the ECTS scale (or equivalent), a master’s degree of at least 60 ECTS including an individual academic work component such as a thesis, and strong English skills. Because the position involves collaboration with Norwegian-speaking stakeholders, Scandinavian language proficiency at CEFR A2 or above is required. Knowledge of data analytics and AI/ML is desirable, and Python or R skills are an advantage.

The appointment is for 3–4 years. A 4-year appointment includes 25% working duty such as teaching, supervision, or administrative tasks. The salary starts at NOK 550,800 gross per year, with standard pension deductions, and a higher salary may be considered for especially qualified candidates.

To apply, candidates must submit the application through Jobbnorge and include a maximum 5-page research proposal with a title, research problem/question(s), theoretical foundation, research method, and a clear explanation of novelty and contribution relative to existing literature. Additional required documents include a CV, certified diplomas/transcripts, proof of English and Scandinavian language proficiency, a master’s thesis or equivalent independent academic work, any relevant publications, and the names, positions, and email addresses of three referees.

The deadline is 15 September 2026. The position is based at Molde University College in Molde, Norway.

Funding details

The appointment period is 3–4 years. A 4-year appointment includes 25% working duty (teaching, supervising, or administrative tasks). The position offers a gross salary from NOK 550,800 per year, with 2% deducted for the Norwegian State Pension Fund; a higher salary may be considered for especially qualified candidates.

What's required

Applicants should have a strong master’s degree in Supply Chain Management, Logistics, Information Systems, or a closely related interdisciplinary field. A minimum average grade of B or better on the ECTS scale, or equivalent, is required, and the master’s degree must be at least 60 ECTS with an individual academic work component such as a master’s thesis. Candidates should understand supply chain and procurement processes, sourcing, supplier management, sustainability, and ERP systems. Foundational knowledge of data analytics and AI/ML is desirable, and programming skills in Python or R and experience with data platforms are an advantage. Excellent written and spoken English is required, and applicants must have Scandinavian language proficiency equivalent to CEFR A2 or above.

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