Postdoctoral researcher COSTLEAP project Flanders Make (28005) - Marketing, Innovatie en Organisatie

→  Apply before 24/11/2024 (DD/MM/YYYY) 23:59 (Brussels Time)
→  Faculty of Economics and Business Administration
→  Department: EB23 - Marketing, Innovatie en Organisatie
→  Occupancy rate:100%
→  Number of positions: 1
→  Type of employment: Contract of limited duration
→  Term of assignment: 24 maanden
→  Wage scale: PD1 to PD4 (doctoral degree)
→  Required diploma:PhD

ABOUT GHENT UNIVERSITY

Ghent University is a world of its own. Employing more than 15,000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities. With its 11 faculties and more than 80 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.

YOUR TASKS

• You contribute to an Industrial Research Valorisation and Acceleration (IRVA) project of Flanders Make about Cost-Sensitive Learning for Optimised Maintenance Strategies (COSTLEAP).
• You develop both predictive and prescriptive models that integrate cost-sensitive learning to prioritise maintenance decisions based on their financial impact.
• You apply advanced data science and big data techniques to process and analyse large volumes of operational and condition-monitoring sensor data.
• You collaborate with industry partners to validate and apply these maintenance optimisation models.
• You contribute to academic publications and present research findings to both academic and industry audiences.

WHAT WE ARE LOOKING FOR

• You hold a Ph.D. in Business Economics, Engineering, Operations Research, Mathematics, Computer Science, or a related field.
• Strong Python coding skills, with experience using data science (e.g., Pandas, NumPy, Scikit-Learn) and optimisation (e.g., PuLP, PyGAD, pymoo) libraries.
• Experience in cost-sensitive learning, machine learning, and optimisation techniques.
• Ability to work collaboratively with interdisciplinary teams and industry partners.
• Strong analytical, problem-solving and business-oriented mindset.

WHAT WE CAN OFFER YOU

• We offer you a fulltime contract of definite duration for the period of 2 years.
• Your contract will start on 1/01/2025 at the earliest.
• Your remuneration will be determined by salary scale PD1 to PD4 (if you hold a Ph.D.).  Click here for more information about our salary scales.
• All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days of holiday leave (on an annual basis for a full-time job) supplemented by annual fixed bridge days, bicycle allowance and eco vouchers. Click here for a complete overview of all the staff benefits.

INTERESTED?

Apply online through the e-recruitment system before the application deadline (see above). We do not accept late applications nor applications that are not submitted through the online system.

Your application must include the following documents:

• In the field ‘CV’: your CV and an overview of your study results (merged into one pdf file)
• In the field ‘Cover letter’: your application letter in pdf format
• In the field ‘Diploma’: a transcript of the required degree (if already in your possession). If you have a foreign degree in a language other than our national languages (Dutch, French or German) or English, please add a translation in one of the mentioned languages.
• In the field “other documents”: a reference letter, an overview of your study results, …  

Note that the maximum file size for each field is 10 MB.

As Ghent University maintains an equal opportunities and diversity policy, everyone is encouraged to apply for this position.

MORE INFORMATION

For more information about this vacancy, please contact Prof. Matthias Bogaert (Matthias.Bogaert@UGent.be).

Important: do NOT send your application by email, but apply online.

Do you have a question regarding the online application process? Please read the FAQ or contact us via selecties@ugent.be or +32 9 264 34 36