Phd stipend in in machine learning methods for the analysis of IoT time-series data.

Organisation/Company

Aalborg Universitet

Department

The Technical Faculty of IT and Design, Department of Computer Science, Section for DATA

Research Field

Computer science

Researcher Profile

First Stage Researcher (R1)

Application Deadline

20 May 2026 - 21:59 (UTC)

Country

Denmark

Type of Contract

Permanent

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?

No

PhD Stipend in machine learning methods for the analysis of IoT time-series data.

At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in machine learning methods for the analysis of IoT time-series data is available within the general study programme Computer Science. The stipend is open for appointment August 1, 2026, or as soon as possible thereafter.

The stipend is available for 3 years and requires that the applicant has an MSc. degree at the start of the stipend.

Who we are   

In Computer Science, Aalborg University has more than 170 scientific staff, including the 2 most cited Danish computer scientists, 20 administrative staff, and 1,100 students, You can read more on www.cs.aau.dk , and you can read more about the TECH faculty here .

The research in the Data Engineering, Science and Systems (DESS) research group focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning, with applications in digital energy and intelligent transport. International evaluations place DESS in the global top tier. For example, csrankings.org lists DESS as no. 2 in Europe and no. 13 in the world within database systems for the period 2021-2025. More information about DESS can be found at: https://www.cs.aau.dk/research/research-groups/data-engineering-science-and-systems-dess

Job description 

The stipend relates to the project titled An Integrated Approach to IoT Data Analytics. The project aims to integrate complementary but related expertise across the Departments of Electronic Systems and Computer Science at AAU. Together with medical experts, the project aims to invent solutions for activity monitoring of older adults in their homes using wireless infrastructure data. For example, this may enable detection of vital signs, of adults falling, and of decline in cognitive abilities. The solutions aim to be unobtrusive, deployable, and cost-efficient. The PhD stipend concerns the invention of machine learning-based methods for data analysis in this setting.

Read more here :
Qualification requirements
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. 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 among other things 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. 
Your qualifications

Prospective applicants should have the following qualifications:

•  MSc. degree in computer science
•  Solid mathematical and analytical skills
•  Solid knowledge and skills in time series machine learning
•  Significant experience in programming
•  A desire to invent new solutions in collaboration with senior and junior researchers

How to apply
Your application must include the following:
• Application, stating reasons for applying and qualifications in relation to the position
• Curriculum Vitae (CV)
• Diplomas (bachelor and master's degree diploma)
• Other relevant documents

Applicants are required to submit, along with their application documents, a one-page statement, indicating their vision for research to be conducted in relation to the project topics outlined above.

The successful candidate will be part of the Data Section in the Department of Computer Science.

A dedicated supervisory team led by Professor Christian S. Jensen and composed of experts from the Departments of Electronic Systems and Computer Science support the PhD project. The Data Section provides a world-class research environment, outstanding working and networking opportunities, and full employment benefits, including a competitive salary.

In addition to research activities, the candidate will contribute to teaching and supervision within the programmes at the Department of Computer Science. Activities may include supervision of student projects and participation in courses.

The application must be submitted via Aalborg University’s recruitment system, which can be accessed under the job advertisement on Aalborg University's website. 

Aalborg University wants to reflect the surrounding society and has diversity as a core value. Therefore, everyone, regardless of personal background and orientation, is encouraged to apply for the position.
Do you have any questions?     
If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost.
Further information  
Read more about our recruitment process here.

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.

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.

Read more about The Technical Doctoral School of IT and Design
Salary and terms of employment
The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish).

Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (in Danish) 

Website

https://aau.varbi.com/en/what:job/jobID:928297/type:job/where:39/apply:1

Number of offers available

1

Company/Institute

Aalborg Universitet

Country

Denmark

City

Aalborg

City

Aalborg

Website

https://www.vacancies.aau.dk

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