PhD student in Business Intelligence and Information Systems
PhD student in Business Intelligence and Information Systems
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Job description
Job description
The FENIX project is a European project to develop a federated network for information exchange in logistics. It has academic, logistics and software development partners, who will collaborate to develop the information exchange network as well as advanced logistics prediction and planning software on top of the network. With the network and the software services, logistics companies can collect logistics information from partner companies and other sources, predict properties of a transport, including estimated arrival times, traffic jams, loading and unloading times and customs inspection times. They can then use these properties to plan transport in an optimal manner. In that way they can minimize cost and CO2 emission.
You, as a successful applicant, will be involved in the research and development of information aggregation services for predictive analytics. You will build distributed predictive techniques and algorithms on top of a distributed information system that was developed in previous research. You will test the effectiveness of your solutions in real-world case studies with partners of the project.
Organization
Eindhoven University of Technology is one of the world's leading research universities (as ranked by the Times Higher Education Supplement). It is in particular well‐known for its joint research with industry (ranked number one worldwide by the Centre for Science and Technology Studies). The Information Systems Group in the School of Industrial Engineering performs advanced research in the area of business process engineering, focusing on business process management (BPM) and business process intelligence (BPI). The group 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.
Task
You, as a successful applicant, will perform the research project outlined above. You will report research findings at international conferences and workshops, and in high-quality scientific journals. In doing so, you will collaborate with research and logistics partners throughout Europe. The research will be concluded with a PhD thesis. Teaching (on average about 10%) is part of the job description. The project will be supervised by dr.ir. Remco Dijkman.
The FENIX project is a European project to develop a federated network for information exchange in logistics. It has academic, logistics and software development partners, who will collaborate to develop the information exchange network as well as advanced logistics prediction and planning software on top of the network. With the network and the software services, logistics companies can collect logistics information from partner companies and other sources, predict properties of a transport, including estimated arrival times, traffic jams, loading and unloading times and customs inspection times. They can then use these properties to plan transport in an optimal manner. In that way they can minimize cost and CO2 emission.
You, as a successful applicant, will be involved in the research and development of information aggregation services for predictive analytics. You will build distributed predictive techniques and algorithms on top of a distributed information system that was developed in previous research. You will test the effectiveness of your solutions in real-world case studies with partners of the project.
Organization
Eindhoven University of Technology is one of the world's leading research universities (as ranked by the Times Higher Education Supplement). It is in particular well‐known for its joint research with industry (ranked number one worldwide by the Centre for Science and Technology Studies). The Information Systems Group in the School of Industrial Engineering performs advanced research in the area of business process engineering, focusing on business process management (BPM) and business process intelligence (BPI). The group 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.
Task
You, as a successful applicant, will perform the research project outlined above. You will report research findings at international conferences and workshops, and in high-quality scientific journals. In doing so, you will collaborate with research and logistics partners throughout Europe. The research will be concluded with a PhD thesis. Teaching (on average about 10%) is part of the job description. The project will be supervised by dr.ir. Remco Dijkman.
Specifications
- max. 38 hours per week
- Eindhoven View on Google Maps
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Eindhoven University of Technology (TU/e)
Requirements
You, as a successful applicant, have a Master's degree in Computer Science, Data Science, Industrial Engineering, or a similar field of study. You have a strong interest in interdisciplinary research and collaboration with industry. Candidates with a strong and verifiable background in programming are preferred. You are able to work on a challenging topic that has both basic and applied research aspects. Your communication skills are excellent as is your proficiency in English and your ability to collaborate in an international setting.
Conditions of employment
We offer:
- a challenging job in a dynamic and ambitious university;
- a PhD appointment for a period of 4 years with target start date of 1 September 2019;
- gross monthly salary is € 2325- in the first year up to € 2971,- (gross) in the fourth year (on a full-time basis);
- a yearly holiday allowance of 8% and 8.3% end of year allowance;
- a broad package of fringe benefits (including an excellent technical infrastructure, moving expenses, savings schemes, coverage of costs of publishing the dissertation and excellent sports facilities).
