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Position: PhD - Data Science and Combinatorial Optimisation (Logistics)
Institution: Vrije Universiteit Brussel
Location: Brussels, Belgium
Duties: We have a vacant PhD position in the area of data science and machine learning for the application domain of logistics. The goal is to investigate and develop machine learning techniques that can capture the variability in logistics operations such as vehicle routing (e.g. delivery durations, volume), train loading (arrival times, duration), etc as well as integrating the learned models into optimisation procedures. It is the integration of the two (learning and optimisation) where the main challenges lie. The position is in the context of an inter-university project with multiple logistics companies, titled 'data-driven logistics'. The project involves three optimisation labs and two machine learning labs
Requirements: The candidate has an academic Master degree. Programming experience, for example in Python, R or another language. Having a good knowledge of English
   
Text: ES/2018/025: PhD in data science and combinatorial optimisation (logistics) Back to the list Company details The Vrije Universiteit Brussel has been a leading player in the Flemish Higher Education landscape for 40 years. The University numbers 12.000 students and together with its hospital - UZ Brussel - employs more than 6000 people. The Vrije Universiteit Brussel is the largest Dutch speaking employer in the capital. Teaching and research at the Vrije Universiteit Brussel are founded on the principle of unfettered inquiry to benefit the progress of mankind. This means rejecting dogmatic positions and guaranteeing the freedom to form opinions without interference; in this way the University aims to ensure the dispersal of the principle of unfettered inquiry throughout society. The University is autonomous and democratically run. This means guaranteeing the exercise of the fundamental freedoms within the University, as well as the right of the University Community to participate in the decision making process and scrutiny of University policy. The following form part of the University’s mission: the development, the communication and the application of a high level of academic education and scientific research, free from all preconceived ideas; the translation of these ideals and knowledge into society in the spirit of social engagement; the creation of a society in which everyone is capable of engaging in critical thinking. Function Academic department : Business Technology and Operations (BUTO) Subject area: Data science and combinatorial optimisation (logistics) PhD in Data Science for logistics optimisation We have a vacant PhD position in the area of data science and machine learning for the application domain of logistics. The goal is to investigate and develop machine learning techniques that can capture the variability in logistics operations such as vehicle routing (e.g. delivery durations, volume), train loading (arrival times, duration), etc as well as integrating the learned models into optimisation procedures. It is the integration of the two (learning and optimisation) where the main challenges lie. The position is in the context of an inter-university project with multiple logistics companies, titled 'data-driven logistics'. The project involves three optimisation labs and two machine learning labs, including our Data Analytics lab at VUB. You will be given access to cases and real-life data from the companies, and discuss ideas and results both with the companies and the university partners. In more detail, the project seeks to develop innovative methodologies for data-driven optimisation in logistics. Such an approach would enable the use available data to learn and find patterns, thereby continuously and automatically adapting and improving logistics optimisation processes. Furthermore, it offers a stepping stone to solve complex interrelated problems in an integrated manner. This is expected to pave the way for a new generation of logistics optimization software, yielding substantial benefits over the rigid traditional methods. The developed techniques will be validated and evaluated on a number of case studies in different logistics contexts, thereby enabling an accurate assessment of the benefits of a data-driven approach to logistics decision-making. Your tasks You will read literature, discuss ideas, develop algorithms and prototypes, publish papers and participate in international conferences. You will join an enthousiastic and open-minded team of researchers in a flexible and rewarding work environment at VUB. The research will be carried under the supervision of Prof. Tias Guns at the Data Analytics Lab of the Vrije Universiteit Brussels, VUB in Belgium: http://data-lab.be . The Data Analytics Laboratory is a vibrant research team of data scientists which actively engage in research projects with the industry for developing innovative business applications of machine learning and artificial intelligence techniques. For more information or questions, contact Tias Guns: tias.guns@vub.be or 32 629 24 11 Profile The candidate has an academic Master degree; Programming experience, for example in Python, R or another language; Having a good knowledge of English. The candidate is expected to endorse the educational vision of the university (full text available on the university website. Female candidates are particulary encouraged to apply. Offer As an employee of the Vrije Universiteit Brussel your days will be spent in a dynamic, diverse and multilingual environment. Both our campuses are set within green oases on the outskirts of the centre of the capital of Flanders, Belgium and Europe. This centre, with all its opportunities, is within your reach by public transport in under half an hour. Depending on your experience and academic merits you will receive a salary on one of the pay scales laid down by the government. Hospitalisation cover and free use of public transport for travel to and from work are standard conditions of employment. If you would rather cycle to work, compensation is also available for that. Both campuses have extensive sporting facilities which are at your disposal and a nursery is within walking distance. More information is available at www.vub.ac.be under the heading ‘future employees’. Planned starting date : 01/08/2018 or 01/09/2018 Length of contract : 1 year extendable to 4 years upon positive evaluation Deadline for applications: 21/07/2018 As an employee of the Vrije Universiteit Brussel your days will be spent in a dynamic, diverse and multilingual environment. Both our campuses are set within green oases on the outskirts of the centre of the capital of Flanders, Belgium and Europe. This centre, with all its opportunities, is within your reach by public transport in under half an hour. Depending on your experience and academic merits you will receive a salary on one of the pay scales laid down by the government. Hospitalisation cover and free use of public transport for travel to and from work are standard conditions of employment. If you would rather cycle to work, compensation is also available for that. Both campuses have extensive sporting facilities which are at your disposal and a nursery is within walking distance. More information is available at www.vub.ac.be under the heading ‘future employees’. Applications can only be submitted online (via the website of the Vrije Universiteit Brussel) All applications must at least include the following attachments: A brief CV Comprehensive details of academic portfolio Teaching and research perception, mentioning the candidate’s five most important publications (for post-doctoral positions) A concise statement of the reason for applying including explanation about the development of future research Diplomas APPLY NOW Placed on: Thu 5 July 2018 Location: Brussels VUB Pleinlaan 2 1050 Brussel Belgium Tel: 02/629.20.03 Url: www.vub.ac.be
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