Assistant/Associate Professor Positions in Supply Chain Digitalisation

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 three new positions for either an Assistant or Associate Professor in Supply Chain Digitalisation.

The targeted starting time of the position is Spring 2025.

The candidates will be responsible for collaboratively building up the area of supply chain digitalisation with a primary focus on quantitative methods such as simulation, big data, artificial intelligence, and machine learning.

Successful candidates will drive internationally recognized research, work closely with industry, and are expected to attract external research funding. They 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 December 31, 2024, at 11.59 PM/23.59 (CET/CEST).

We offer:

• A dynamic and international workplace with excellent facilities and strong collaborations with research organizations and industry.
• Continued education of members of staff.
• Flexibility in planning working hours.
• An attractive working environment and work-life balance prioritisation.

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, operations research, or related fields is highly meritable.

We expect to hire 3 candidates with different profiles, as 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.
• Advanced analytics for 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’, or ‘Forecasting and Inventory Management’.
• Able to supervise students in projects related to applying advanced analytics and/or machine/deep learning for supply chain optimisation.

Profile #2

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

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

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 ‘Data Science for O&SCM’.
• Able to supervise students in projects related to end-to-end visibility in supply chains, supplier data integration, digital product passports, or the like.

Profile #3

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

• Discrete-event simulation.
• Agent-based simulation.
• Supply chain simulation.

Required skills:

• Demonstrated knowledge of software like Plant Simulation, AnyLogic, AnyLogistix, or the like.
• Should be able to teach courses focused on using simulation methods in production and supply chains, such as ‘Production Modelling & Simulation’ or ‘Supply Chain Simulation’.
• Able to supervise students on projects related to using simulation for production or supply chain optimisation.

Further information is available from Associate Professor Elias Ribeiro da Silva at .

Conditions of employment:

The appointment as Associate Professor is permanent while that as Assistant Professor is for an initial period of 3 years.

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.

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.

About the workplace:

All positions are within the Section SDU Technology Entrepreneurship and Innovation (TEI) at the Faculty of Engineering on the international campus Sønderborg. The section unites engineering, innovation management, and entrepreneurship scholars in joint research and teaching.

The SDU TEI section is a highly international and interdisciplinary group of faculty members, with international students. The campus is in Sønderborg, an attractive coastal town with an open Scandinavian culture, and affordable housing and living costs. For more information on SDU TEI, please visit .

Application and assessment:

Applications will be assessed by an expert committee. When the expert committee issues its assessment, the applicants will be sent the portion of the assessment pertaining to them personally.

Assessment of the candidates is based on the application material. Please include the following documents in English:

• Motivation letter, including the intended profile (allowed the application for more than one profile or cross-profile) and seniority (assistant or associate).
• Curriculum vitae.
• Full list of publications.
• Up to 8 of the most relevant publications (assistant professor: up to 3 publications; associate professor: up to 8 publications; please attach one pdf-file for each publication).
• Diplomas/Certificates (Master and PhD degree).
• Teaching portfolio (not applicable for assistant professors).
• Documentation of other qualifications with relevance to the position.

UPLOAD GUIDE: Motivation letter shall be uploaded as ‘Cover letter’, Curriculum Vitae shall be uploaded as ‘Resume’. All other documents shall be uploaded as ‘Miscellaneous documents’.

The application deadline is December 31, 2024, at 11.59 PM/23.59 (CET/CEST).

Shortlisting may be used in the assessment process. Read about shortlisting at SDU.

An interview may be included as a part of the overall evaluation of the applicant’s qualifications.

If you experience technical problems, you can contact .

Documents must not contain a CPR number (civil registration number) – in this case, the CPR number must be crossed out.

Applicants are advised to read the SDU information on how to apply and specific faculty information for application at the Faculty of Engineering.

The University of Southern Denmark wishes to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position.