With the establishment of a new Centre for Supply Chain Digitalisation, the Department of Technology and Innovation at the University of Southern Denmark (SDU) is excited to announce one or more positions for either an Assistant Professor (Tenure-track) or Associate Professor in AI and Data Governance in Supply Chains. 

The targeted starting time of the position is January 2026.

The candidates will be responsible for collaboratively building up the area of supply chain digitalisation with a primary focus on data governance, artificial intelligence, and applied machine learning. 

Successful candidates for all profiles will drive internationally recognized research, work closely with industry, and are expected to attract external research funding. The candidates will play a key role in providing outstanding education, supervising bachelor's and master’s students, and developing junior research staff.

The application deadline is September 15, 2025, at 11.59 PM/23.59 (CET/CEST) 

We offer

• A professional workplace culture that values equality, mutual respect, and is designed to accommodate and encourage work-life balance
• A vibrant social environment with structured activities and informal routines that promote cross-disciplinary interaction and cultivate an inclusive, supportive atmosphere.
• An engaging, dynamic, and international interdisciplinary environment with extensive collaboration opportunities across national, international, and industrial partners
• Opportunities for continued professional development and education for all staff members.
• Access to a well-developed research infrastructure
• A strong institutional commitment to diversity, equity, and inclusion in all aspects of the workplace

We expect

A motivated, collaborative person who is able to work in an international and interdisciplinary team, with documented research skills in the field of supply chain. The candidate needs to be a team player and, at the same time, be able to work independently.

A background in engineering with an understanding of business principles is essential. A PhD degree related to supply chain management, operations management, or related fields is highly meritable.

We expect to hire one or more candidates within the following profiles described next:

Profile #1

The ideal candidate is able to bridge theory and practice in one or more of the following areas:

• Data Science applied to operations and supply chain management
• Machine learning applied to operations and supply chain management
• Data-driven demand forecasting
• Inventory management
• Time-series modelling

Required skills

• Fluency in either Python, R, or the like
• Should be able to teach courses with a hands-on, data-driven approach, such as ‘Machine Learning for O&SCM’, ‘Data Science for O&SCM’, ‘Forecasting and Inventory Management’, or the like. 
• Able to supervise students in projects related to applying advanced analytics and/or machine/deep learning for supply chain optimisation.

Note: candidates focusing primarily on Operations Research area are not an ideal fit for this position. Competencies related to applied DS/AI in supply chain are expected.

Profile #2

The ideal candidate is able to bridge theory and practice in one or more of the following areas:

• End-to-end supply chain traceability
• Data value chain
• Data interoperability
• Data governance
• Digital product passports
• Standards and protocols for data exchange in global supply chains

Required skills

• Should be able to teach courses with a hands-on, data-driven approach, such as ‘Data Governance & Interoperability’, ‘Digital Value Chain Strategy’, or the like. 
• Able to supervise students in projects related to end-to-end visibility in supply chains, supplier data integration, digital product passports, or the like.

Further information about the positions are available from Associate Professor Elias Ribeiro da Silva at elias@iti.sdu.dk 

Conditions of employment

The appointment as Associate Professor is permanent, while that as Assistant Professor is for an initial period of 4 years, part of a tenure-track programme.

During employment, the assistant professor will complete the Lecturer Training Programme.  

The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations. Further information on salary and taxation. Persons employed in the position may, based on a specific individual managerial evaluation, be exempted from time registration, also known as a “self-organizer”. 

Employment as assistant professor requires scientific qualifications at PhD level at the time of employment. Employment as an associate professor requires academic qualifications at PhD level as well as scientific and teaching qualifications at a level achievable based on satisfactory completion of a period of employment as assistant professor/researcher but may be achievable by other means.  

The application deadline is September 15, 2025, at 11.59 PM/23.59 (CET/CEST) 

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