PhD student in Computing Science with focus on data privacy
1 month ago
Project description
The project will develop privacy-aware machine learning (ML) models. We are interested in building models that are explainable and are extracted from complex and heterogeneous data. Within explainable ML, we are interested in topics as provenance, interpretable and transparent models. Within privacy, we are interested in different types of privacy measures and models (differential and integral privacy, k-anonymity), different scenarios (centralized and decentralized data; local and global privacy). For decentralized data, we consider federated learning. Other topics of interest for this project are: aggregation, voting, game theory, and graph theory.
Research group
Admission requirements
The general admission requirements for doctoral studies are a second- cycle level degree, or completed course requirements of at least 240 ECTS credits, of which at least 60 ECTS credits are at second-cycle level, or have an equivalent education from abroad, or equivalent qualifications. To fulfil the specific entry requirements for doctoral studies in computing science, the applicant is required to have completed at least 90 ECTS credits in computing science.
You should have very good knowledge and skills in programming with a focus on efficient implementation of algorithms, and good knowledge of mathematics and/or statistics. You should also be able to speak and write English fluently.
In addition to creativity and an inquisitive mind, important personal qualities are the ability to work both independently and in a team, as well as experience in international cooperation.
It is an advantage if you have documented knowledge and experience in machine learning and in mathematical/logical problem formulation (e.g. optimization, game theory, graph theory).
About the position
The position provides you with the opportunity to pursue PhD studies in Computing Science for four years, with the goal of achieving the degree of Doctor in Computing Science. While the position is mainly devoted to PhD studies (at least 80% of the time), it may include up to 20% department service (usually teaching). If so, the total time for the position is extended accordingly, resulting in a maximum of five years.
The procedure for recruitment for the position is in accordance with the Higher Education Ordinance (chapter 12, 2§) and the decision regarding the position cannot be appealed.
The expected starting date is 2024-08-15 or as otherwise agreed.
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Umeå, Västerbotten, Sweden Umeå University Full timeProject focus:Develop privacy-aware machine learning (ML) modelsBuild explainable models from complex dataInterest in provenance, interpretable and transparent modelsFocus on various privacy measures and modelsConsider centralized and decentralized data scenariosTopics include federated learning, aggregation, game theory, and graph theory Research group:...
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