The position is offered within the area of Informatics which at the University of Skövde is defined as the study of how information is represented, processed and communicated in artificial and natural systems, as well as how IT systems are used and developed to ensure usability for individuals, organizations or society. The positon has a specialization in data privacy.
Application deadline: January 8th 2017
Reference number: HS 2016/1077
Data privacy is to ensure that no disclosure of sensitive information takes place, or that the risk is minimized. Research in privacy is reaching increasing impact in the last years, due to the progressing digitalization of society and the collection of big data lakes. This has lead to an increased awareness of the importance to protect the integrity of citizens. Legislation has been updated (both at national and international levels), which in turn has increased requirement on both authorities and companies. Software packages include modules for data privacy, and solutions for data privacy need to be computationally feasible, and be able to find compromises between privacy and security, and between privacy and data utility. In big data, disclosure risk is a complex issue.
The position is limited to 4 years and comprises PhD studies at 100%. The research will be carried out within the project funded by Vetenskapsrådet titled "Disclosure risk and transparency in big data privacy" directed by Vicenç Torra. He has been working on data privacy since 2000, being one of the leading authorities in the field. He has a genuine experience on theory, methods, and applications of data privacy, having contributed in all these areas, and being expert on data protection mechanisms, and on disclosure risk assessment. The student will be hosted by the Skövde Artificial Intelligence Lab (SAIL). This lab consists of more than 15 researchers conducting research within artificial intelligence in close collaboration with business and organizations. The group has experience on data privacy, data mining, data fusion, machine learning, data science, approximate reasoning, visual analytics.
The PhD thesis to be written during the employment will be on assessing disclosure risk for big data, and on developing new data protection mechanisms for this type of data (e.g., for graphs and social networks).
Additional assignments might be included in the position.
The qualification requirements are:
- an advanced level degree or at least coursework equal to 240 ECTS credits where a minimum of 60 ECTS credits is on the advanced level, or knowledge equivalent to these levels of university study
- at least 120 ECTS credits of documented study within informatics, computer science or other potentially relevant subject area. At least 15 ECTS credits of the 120 ECTS credits should comprise a final year project on the advanced level
- a passing grade on the Swedish senior high school course "English B" or equivalent.
Base of evaluation
In addition to the qualification requirements, the bases of evaluation for this position are:
- Good ability to do what is required for education on the PhD-level.
- Good knowledge of programming, especially for implementing efficient algorithms.
- Good knowledge of mathematics and statistics (e.g., optimization, graph theory, probability theory).
- Good knowledge of machine learning.
- Good ability to cooperate with others and to work independently.
- Good ability to communicate well in English, orally and in written English.
- Good ability to plan and organize one's workload.
For this position, special emphasis will be placed upon a good knowledge of programming, especially for implementing efficient algorithms, good knowledge of machine learning and good knowledge of mathematics and statistics (e.g., optimization, graph theory, probability theory).
The PhD student is positioned at the School of Informatics, which is a school in expansion. Our research is internationally distinguished and our educational programs receive high rankings when it comes to both quality and cooperation with workplaces. Today there are 9 Professors, 14 PhD students and in total about 120 employees at the School of Informatics.
The University of Skövde strives towards ethnic and cultural diversity and equal gender distribution within all employment categories. As the majority of the employees in the subject area are men the University especially invites women to apply for this position.
The position is a temporary employment until PhD degree, but no longer than 4 years, at 100%. Salary will be paid according to the local agreement "Wage ladder for PhD Students".
Application Deadline : 8 January 2017
PhD Student in Informatics with a specialization in Big Data Privacy : PDF
Posted on 2016-12-18 23:51:21
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