| Stilling | PhD in statistical aspects of privacy for spatial health data |
| Opslået | 02 Jun 2026 |
| Udløbet | 02 Jul 2026 |
| Virksomhed | The Faculty of Medicine, Department of Clinical Medicine, Center for Clinical Data Science |
| Lokation | Aalborg | DK |
| Jobtype | Full Time |
Seneste jobinformation fra The Faculty of Medicine, Department of Clinical Medicine, Center for Clinical Data Science til stillingen som PhD in statistical aspects of privacy for spatial health data. If the PhD in statistical aspects of privacy for spatial health data ledige stilling i Aalborg matcher dine kvalifikationer, bedes du indsende din ansøgning eller dit CV direkte gennem den opdaterede Jobkos jobportal.
Bemærk venligst, at det ikke altid er nemt at søge job, da kandidater skal opfylde visse krav sat af virksomheden. Vi håber, at karrieremuligheden hos The Faculty of Medicine, Department of Clinical Medicine, Center for Clinical Data Science til stillingen som PhD in statistical aspects of privacy for spatial health data nedenfor matcher dine kvalifikationer.
The Faculty of Medicine, Department of Clinical Medicine, Center for Clinical Data Science
At the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, Faculty of Medicine, Aalborg University, a PhD stipend in spatial privacy for health data is available for appointment from September 1, 2026, or soon hereafter. The duration of the Stilling is three years.
Your work tasksAt the intersection of mathematics, statistics, and public health, this PhD project explores how we can learn from sensitive health data without compromising individual privacy. Using rich, nationwide Danish health registry data, the project focuses on spatial data, such as disease maps and medical imaging, where Lokation can both reveal crucial patterns and pose privacy risks. You will develop and study privacy-preserving methods (e.g., differential privacy and synthetic data) that allow researchers to detect trends, identify hotspots, and support decision‑making while ensuring that no individual can be identified. The project tackles the fundamental challenge: how to balance data utility with strong privacy guarantees in complex spatial data. This is a chance to work on mathematically challenging problems with real‑world impact, contributing to the safe and responsible use of health data.
The research will be performed in close collaboration with the Department of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University.
Your competenciesYou must have documented strong qualifications in mathematics and statistics as well as excellent oral and written English language skills. Experience with spatial statistics is an advantage.
Qualification requirementsPhD 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 alLokation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School in Medicine, Biomedical Science and Technology in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 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. As part of the PhD study, you are required to complete PhD courses corresponding to 30 ECTS, gain experience with teaching or other forms of knowledge dissemination and complete an external research stay outside of Aalborg University, preferably 3‑6 months at a foreign research institution.
Who we areCLINDA is a multidisciplinary center dedicated to bridging clinical practice and data science. It comprises three research groups: (1) Clinical AI, (2) Bioinformatics and Statistics, and (3) Data Science Methods. The PhD student will be part of the Data Science Methods group, which has a strong research focus on privacy‑preserving techniques.
How to applyThe application must be submitted via Aalborg University’s recruitment system.
Do you have any questions?If you have any questions about the Stilling, you are more than welcome to Kontakt os. You will find contact persons at the bottom of the jobpost.
ContactType of employment: Full time
Number of Stillings: 1
Full‑time equivalent: 37
City: Aalborg
Reference number: 2026/640
#J-18808-LjbffrEfter at have læst og forstået kriterierne og minimumskravene til kvalifikationer forklaret i jobinformationen PhD in statistical aspects of privacy for spatial health data at the office Aalborg ovenfor, bedes du straks færdiggøre dine ansøgningsdokumenter såsom ansøgning, CV, kopi af eksamensbevis og andre bilag som forklaret. Indsend via linket 'Næste side' nedenfor.
Beskr.: At the Technical Faculty of IT and Design’s Department of Sustainability and Planning, Aalborg, a Stilling as Research Assistant in Problem Based Learning and Engineering Education is open for appoint...
Beskr.: Virksomhed Description Terry Soot Management Group (TSMG) is a field data collection Virksomhed founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures,...
Beskr.: Vil du have branchens bedste uddannelse med masser af karrieremuligheder? Får du et kick af at finde den rigtige løsning? Søger du et fællesskab, job og uddannelse, hvor du nemt kan kombinere teori og...
Beskr.: Blue Water Shipping i Aalborg søger en trainee til et 2-årigt speditør-/shippinguddannelsesprogram med opstart i september. I denne rolle vil du håndtere transportplanlægning, booking og unik kundeser...
Beskr.: TSMG Holding is seeking responsible and detail-oriented individuals for a driving role in data collection. The project involves driving specific routes to capture images of streets and landmarks acros...