PhD position for Machine Learning - Digital Systems Department UTH

The Digital Systems Department (DSD) based at University of Thessaly (UTH) School of Science, is seeking applications for a fully funded PhD program from exceptional Greek/EU/International students with an outstanding academic record, as well as a proven record in research training. More specifically, we are looking for candidates with a background in one or ideally more of these areas: Machine Learning, Data Mining, Decision Support Systems, Computational Science, Statistics, Statistical Environmental and Chemistry Studies, Statistical Modelling, Applied Mathematics.

The project deals with the use of data mining methods, especially machine learning, to extract useful information from various databases (of environmental sciences, chemical engineering, energy-water-food-environment nexus etc.) and to formulate simulations of processes that lie on the aforementioned thematic areas to invent decision making methodologies based on the help of Artificial Intelligence (AI). Additional objectives may include: (a) the investigation of the application of tailored optimization methods for a repertoire of models of environmental sciences, (b) studying the impact and optimal design of dynamically adaptive control systems of the same nature, and (c) implement and demonstrate these methods on a unique large scale case study (e.g., a case study that is already operational).


 Application Process and requirements

  •  A curriculum vitae;
  •  Transcript of records (marks);
  •  A research letter discussing a personal vision of the position, with references proposed in the call.
  •  Applicants should submit a 1000-word research proposal demonstrating knowledge of existing work in the field, and potential contributions to knowledge. It should also explain the proposed research methods including a tentative plan and timeline of the research.
  •  At least, two recommendation letters and a list of references to contact.


Funding Notes

This scholarship is offered on a full-time basis from March 2022 for three years subject to satisfactory progress. It will provide an annual tax-free bursary of €12,000. No tuition fees are imposed.

Application Form

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The motivation letter or video should include at least your motivation for taking the course and how you plan to utilize the information you will gain from the course.

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* Please note that the above mentioned consents are required for participation in the course.