The job is to research in mathematical models and algorithms for educational university timetabling. This job should lead to publications in leading operations research journals and state of art optimization performance on known educational timetabling data instances (ITC-2019)
As a formal qualification, you must hold a PhD degree (or equivalent); Experience with large Mixed Integer Programming Models (MIP), large measured in the number of abstract constraints and abstract variables, i.e. the constraints and variables which are expanded by e.g. modelling languages; Experience with large MIP’s in real constraints and real variables, more than 10 million of each; Excellent programming experience, preferably in C#; Experience with University Timetabling optimization
Postdoc in Optimization Methods for Educational Timetabling DTU Management Share on Facebook Share on Twitter Share on Linkedin Monday 03 May 21 Apply for this job Apply no later than 17 May 2021 Apply for the job at DTU Management by completing the following form. Apply online If you are looking for a challenging research position in combinatorial optimization for educational timetabling, this postdoc is made for you. Your work will focus on Mixed Integer Programming mathematical models for complex timetables for universities. Responsibilities and qualifications The job is to research in mathematical models and algorithms for educational university timetabling. This job should lead to publications in leading operations research journals and state of art optimization performance on known educational timetabling data instances (ITC-2019) The qualifications needed to excel in the postdoc are: Experience with large Mixed Integer Programming Models (MIP), large measured in the number of abstract constraints and abstract variables, i.e. the constraints and variables which are expanded by e.g. modelling languages Experience with large MIP’s in real constraints and real variables, more than 10 million of each. Excellent programming experience, preferably in C# Experience with University Timetabling optimization The responsibilities are: The development and extension of an advanced parallel math heuristic, applied to a large MIP model of University Timetabling (upwards of 200 million constraints and variables) Particularly, the focus will be on efficient massive parallelization (upwards of 100 cores) Development of extended ITC-2019 dataformat As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 21 months (1 September 2021 - 31 May 2023). You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Thomas Stidsen, email@example.com . You can read more about DTU-Management at www.man.dtu.dk/english . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU - Moving to Denmark . Application procedure Your complete online application must be submitted no later than 17 May 20121 (Danish time) . Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file . The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD) List of publications List articles about educational timetabling List articles about large Mixed Integer Programming models A ll interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. DTU Management conducts excellent research in the intersection between management, technology and economics. We develop solutions in close cooperation with companies and public authorities. Our research aims at strengthening welfare, productivity and sustainability within the society. A key element is the role of technology and its interaction with industry and individuals. The department’s research is divided in four divisions: Innovation, Management Science, Sustainability and Transport. Furthermore, the department hosts a UN Collaborating Centre. The UN DTU Partnership conducts research, policy analysis and advising on a global scale. The Operations Research section is a part of the Management Science division which currently consists of 9 faculty positions, and is thus one of the largest Operations Research groups in Europe. The section has a very strong research in Mathematical Programming and its application in areas like Shipping, Logistics, Timetabling etc. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.
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