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Data-Driven Trade Lane Analysis and Route Advisor (postdoc) 1 fte (V39.4004)

Data-Driven Trade Lane Analysis and Route Advisor (postdoc) 1 fte

Eindhoven University of Technology has a vacancy for a postdoc on Data-Driven Trade Lane Analysis and Route Advisor within the Information Systems Group of the School of Industrial Engineering.
Aanstellingsfunctie(s)
(Postdoctoraal) onderzoeker
Faculteit(en)
Faculteit Industrial Engineering & Innovation Sciences
FTE
1,0
Sluitdatum
31/08/2019
Aanvraagnummer
V39.4004

Functieomschrijving

Group

The Information Systems Group in the School of Industrial Engineering performs advanced research in the area of business intelligence, business process management, and business engineering. All research is embedded in SIKS (Netherlands Research School for Information and Knowledge Systems) and Beta (the KNAW-recognized research school for Operations Management & Logistics). Department of IE&IS has a strong national and international reputation for both basic research in the academic community and applied research with industry. The successful applicant will have the opportunity to profit from the benefits that such an environment has to offer and to contribute to the ongoing research.

Project description
In the project ‘Lane Analysis and Route Advisor’, we will conduct research into solutions based on advanced data analytics that combine the integration of various data sources (‘big data’), AI methods such as machine learning (ML), natural language processing (NLP), semantic web techniques, and optimization techniques for prescriptive analytics and decision making. These methods will be applied to the optimization of route planning in global freight forwarding, initially targeted at air freight shipment with special handling needs. The project that forms the context for this position also involves intensive collaboration with several industrial partners and academic partners (CWI and VU). The candidate will work at the School of Industrial Engineering, TU Eindhoven. The research project involves the Information Systems group (IS) and the Operations, Planning, Accounting and Control group (OPAC).

Functie-eisen

We are looking for a researcher who should have completed (or be close to completion of) a PhD degree in Computer Science, Artificial Intelligence, Econometrics, or Industrial Engineering, with a solid background in quantitative research methods. An ideal candidate should have a good basis in machine learning, or natural language processing, or semantic web technologies, and is interested in applications in logistics.

Arbeidsvoorwaarden

We offer

  • A fulltime job in a dynamic and ambitious university;
  • A temporary appointment for 2 years, starting date as soon as possible;
  • Tasks are divided between research (60%) and teaching (40%);
  • A gross monthly salary between € 3.255 and € 4.274 based on a full-time appointment and depending on experience and knowledge. The salary is in accordance with scale 10 of the Collective Labour Agreement of the Dutch Universities (cao NU);
  • A yearly holiday allowance of 8% of the yearly salary;
  • A yearly end year allowance of 8.3% of the yearly salary;
  • An attractive package of fringe benefits, including holiday and end-of-year allowance and excellent sport facilities.

Informatie en sollicitatie

Information
More information about this position and the research programs should be addressed to: Dr. Yingqian Zhang (yqzhang[at]tue.nl), Dr. Kalliopi Zervanou (k.zervanou[at]tue.nl), or Dr. Alp Akçay (a.e.akcay[at]tue.nl). 
Information about terms of employment can be obtained from Susan Opgenoorth, HR Advisor IE&IS (pz.ieis[at]tue.nl). Further information about Eindhoven University of Technology can be found at www.tue.nl.

Application
Your application must contain the following documents (all in English): 

  • Cover letter (1 page max), which includes a motivation of your interest in the vacancy and an explanation of why you are a good fit for the project;
  • An extensive curriculum vitae;
  • Name and contact information of two references.

To apply use the “apply for this job” button at the top or the bottom of this page. Please note that a maximum of 5 documents of 2 Mb each can be uploaded, so if you have more than 5 documents you will have to combine them. Please do not send us applications by e-mail.