项目介绍

2024年12月19日

Job description

The position is part of the project HEREDITARY (heterogeneous semantic data integration for the gut-brain interplay), co-funded by the Horizon Europe program. The project aims to build a robust, interoperable, trustworthy, and secure framework that integrates multimodal health data (including genetic data) while ensuring compliance with cross-national privacy-preserving policies.

Specifically, the PhD project will focus on one or more of the following directions:

• Design methods to synthesize health data in a privacy-preserving fashion
• Design novel privacy-preserving solutions to enable data analytics in a federated setting
• Design novel privacy-preserving data integration methods exploiting knowledge graphs

Interested applicants are encouraged to contact Associate Professor Daniele Dell’Aglio, email:   dade@cs.aau.dk, regarding the scientific aspects of the position.

The selected candidate will be part of the Data, Knowledge, and Web Engineering group: https://www.cs.aau.dk/research/data-knowledge-and-web-engineering.

Requirements
Applicants must have a Master’s degree in computer science or a closely related field. Due to the project’s angle, applicants must have a strong background in data privacy techniques. Additional knowledge and experiences within the following areas are highly appreciated:  knowledge graphs, data analytics, machine learning, and federated learning. Outstanding spoken and written communication skills in English are essential. Application 
An application must contain:

1. A cover letter of max. 2 pages, including (i) motivation for applying, (ii) preferred starting date, and (iii) a brief explanation of the applicant’s background.
2. CV
3. Diploma and transcripts of records
4. Other relevant information incl. contact information of max. 3 referees, and/or programming portfolio (e.g. GitHub account)

PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

Assessment
The assessment of candidates for the position will be carried out by qualified experts.

Shortlisting will be applied. This means that after the application deadline, the head of the department, with the assistance of the hiring committee, will select the applicants to be assessed. All applicants will be informed whether they have been shortlisted for assessment or not.

When the hiring process is completed, a final rejection will be sent to the applicants who are not considered for the position.

The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace.

For further information about stipends and salary as well as practical issues concerning the application procedure, please contact Ms. Annemarie Davidsen, the Doctoral School at the Technical Faculty of IT and Design, email: ada@adm.aau.dk.

For more information of the Technical Doctoral School of IT and Design: www.phd.tech.aau.dk

The application is only to be submitted online by using the “Apply online” button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Wages and employment

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 15 December 2021 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.  

Ref number

16-24076

Deadline

03.01.2025