PhD Position in Data Analytics in Production in Sustainable Development

Technical University of Denmark has an opening PhD position in sustainable development. Successful candidate will have funding to work and study for 3 years in Denmark. Potential candidates should apply before June 01, 2020.

DTU Compute would like to invite applications for a 3-year PhD position starting September 1, 2020. The position is financed by DTU, and is part of the joint doctoral degree program together with the Norwegian University of Science and Technology (NTNU). The candidate is required to spend at least one year in total at each of the institutions. The successful candidate will be offered a three-year position.

The term Big Data seems to be ubiquitous in many fields of applications and industrial production is no different. However, in production this can be somewhat misleading as it often refers to process data which is obtained through automated data collection schemes with minimal manual interference. Product related data is usually scarcer particularly in high volume production due to cost of inspection. This creates an imbalance in the amount of available data which can in times be quite substantial. Yet in many cases, predictive modeling relating process variables to product characteristics is sought after. Therefore it will be beneficial to guide the data collection schemes for product characteristics through a real time sampling methodology. This methodology should actively dictate when and how the new product data would be collected. In this project, we will investigate multivariate data analysis and process monitoring methods to trigger the need for product data collection when this approach detects out-of-the ordinary circumstances. The project will involve an industrial partner for immediate applications of developed methodologies. During your PhD project, you will be part of a group of researchers in data analytics and have the chance to interact with individuals with similar research interests. The group is currently engaged in many industrial projects, which will allow you to observe various application cases of the methodological developments we are working on. The project will also involve another PhD candidate and a professor from NTNU with whom you will have the opportunity to collaborate to further your research. As a PhD candidate, you will have the opportunity to teach BSc/MSc students in our regularly offered courses in data analytics. You will also have the opportunities to develop your teaching skills in our distance learning and continuing education programs through short courses offered primarily for the industry. You must have a master degree in engineering science or natural science or equivalent academic qualifications. You must have a very strong background in data analysis, mathematical modelling, and computing and if you have practical experience with large datasets and machine learning methods we highly encourage you to apply. Furthermore, prior knowledge in software packages such as R and Python as well as proficient coding skills will be required. You must be fluent in English, both speaking and writing with great communication and presentation skills. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval. You will be enrolled in the DTU Compute PhD School as the host institute. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide . The assessment of the applicants will be made by Associate Professor Murat Kulahci (DTU Compute) and Professor John Tyssedal (NTNU). 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 3 years. You can read more about career paths at DTU here Further Information Further information concerning the project can be obtained from Associate Professor Murat Kulahci at Further information concerning the application is available at the DTU Compute PhD homepage or by contacting PhD coordinator Lene Matthisson at 4525 3377 or Application Applications must be submitted in English as one single PDF, and we must have your online application by 1 June 2020 (23:59 local time). Please open the link in the red bar in the top of the page: “apply online” ("ansg online"). Course and grade list of bachelor and master degrees Calculation of the weighted grade average with course names translated to English An example technical text you have written in English such as a report prepared for a course, a consulting project, or a published peer-reviewed scientific article. If one or more of the items requested above is missing, the application will be considered invalid.


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