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Associate Professor Positions in Advanced Supply Chain Digitalisation
1 month ago
The targeted starting time of the position is August 1, 2025.
The candidate will be responsible for collaboratively building up the area of supply chain advanced digitalisation with a primary focus on quantitative methods such as applied simulation, big data, artificial intelligence, and machine learning as well as an ability to apply such skills to interventions research, field experiments, and similar methods. Moreover, the candidate must be able to incorporate insights from qualitative research into quantitative models.
The successful candidate will drive internationally recognized research, work closely with industry, and is expected to attract external research funding. The candidate will play a key role in providing outstanding education, supervising bachelor's and master's students, and developing junior research staff.
We expect
A motivated, collaborative person who can 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. The candidate is expected to be physically present at the campus in Odense, Denmark.
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. Non-engineers will not be considered. We expect to hire one candidate with the following profiles, as described next:
Profile
The ideal candidate can bridge theory and practice in one or more of the following areas:
- 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
- Discrete-event, Agent-based, and Supply chain simulation
Required skills
- Demonstrated knowledge of software like Plant Simulation, AnyLogic, AnyLogistix, or the like
- Fluency in either MATLAB, Lingo, Python, R, SmartPLS, SPSS, or the like
- Should be able to teach courses with a hands-on, data-driven approach, such as "Machine Learning 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 simulation and optimization.
Further information is available from Professor Jan Vang at jvbp@iti.sdu.dk
If you experience technical problems, please contact hcm-support@sdu.dk.
Application procedure
Applicants are advised to read the SDU information on how to apply and specific faculty information for application at the Faculty of Engineering.
Assessment of the candidates is based on the application material. Include the following documents in English:
- Motivation letter, including the intended profile and seniority (assistant or associate).
- Detailed research strategy documenting realistic real-life goal.
- Documentation of other qualifications with relevance to the position.
- Curriculum Vitae.
- Certificates/Diplomas (master's and PhD degree) – Danish and/or English.
- Complete list of publications.
- Publications most relevant for the position. Please attach as one PDF-file for each publication.
- Teaching Portfolio.
UPLOAD GUIDE: Motivated application shall be uploaded as 'Cover letter', Curriculum Vitae shall be uploaded as 'Resume'. All other documents shall be uploaded as 'Miscellaneous documents'.
Documents must not contain a CPR number (civil registration number) – in this case, the CPR number must be crossed out.
The application and CV must not exceed 10 MB.
The application deadline is May 15, 2025, at 11.59 PM/23.59 (CET/CEST)
Assessment and selection process
Read about the Assessment and selection process.
Applications will be assessed by an assessment committee. Shortlisting may be applied. Only shortlisted candidates will receive a written assessment. Read about shortlisting at SDU.
Interviews and tests may be part of the process.
Conditions of employment
Appointment as associate professor is permanent.
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.
The person employed in the position may, based on a specific individual managerial assessment, be exempted from time registration, also known as a self-organiser.
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 University of Southern Denmark wishes our staff to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position. SDU conducts research in critical technologies, which, due to the risk of unwanted knowledge transfer, are subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position.
Living and working in Denmark
The International Staff Office (ISO) at SDU provides a variety of services for new employees, guests and people who consider applying for a job at the University of Southern Denmark. Among other things, the staff answers questions concerning salary, taxation, housing and accompanying family.
We recommend that international applicants also take the time to visit Work in Denmark.
Please note in your application that you found the job at Jobindex
