Multiple positions are available at the Data, Knowledge, and Web Engineering group, Department of Computer Science at Aalborg University (AAU), Denmark. The positions are available immediately with a flexible starting date within the next couple of months.

Depending on qualifications, the position(s) can be filled at either the PhD or Postdoc level.
A PhD position is for 3 years (possibly 4 years if combined with a Master‘s degree) and requires an additional formal announcement and assessment. A postdoc position is initially for one year, with the possibility of extension for up to 2 years based on mutual agreement.

The research will be concerned with using knowledge graphs and graph technologies to enable novel perspectives of analysis and make data and results accessible through the integration of heterogeneous data, such as environmental data, genomes, ontologies, publications, external data. Of particular interest are the scalable support of evolving data, provenance, exploration, analytics, graph embeddings, and knowledge sharing.

Some of these positions are within the context of our new VILLUM SYNERGY project (DarkScience: Illuminating Microbial Dark Matter through Data Science), where we will use data extraction, integration, analytics, and Machine Learning to develop new methods and approaches that enable access and analysis of microbial dark matter and their interaction with the environment. A related postdoctoral fellowship focusing on probabilistic machine learning on graphs is available here.


  1. Large-scale integration of heterogeneous data using graph technologies

  2. Graph data evolution, provenance, and explainability

  3. Data mining and machine learning on graphs

  4. Exploratory analytics over graph data


  1. PhD (postdoc level) or M.Sc. (PhD level) in computer science or data science

  2. excellent scientific background and publication record (postdoc level)

  3. demonstrated ability to work independently as well as in a team

  4. excellent communication skills in English, oral as well as written

  5. good programming skills

Advanced experiences in at least 2 of the following areas:

  1. Graph data management and querying

  2. Data integration (data lakes, fabrics), data quality, provenance

  3. Machine Learning, explainable AI, federated learning

  4. Semantic Web Technologies, Linked Data

  5. Dynamic knowledge graphs

  6. Exploratory analytics

  7. Bioinformatics and Data Science


  1. perform excellent scientific research

  2. develop research prototypes and conduct experiments

  3. publish in international conferences and journals

  4. participate in activities of the group and the department

  5. participate in research projects funded by EU and Danish sources.

For a PhD position, the starting annual salary is approximately DKK 386,000 (ca. EUR 51,750), including pension contributions (which can be paid out as salary) and pre taxes.

For a postdoc position, the annual salary is approximately DKK 450.000 (ca. EUR 60,000), inclusive of pension contributions and pre taxes. For foreign researchers who qualify for the tax scheme for foreign researchers (PhD degree required), the annual salary inclusive of pension contributions and after taxes is approximately DKK 300,000 (ca. EUR 40,000).

The indication of interest should contain:

  1. cover letter (max. 1 page), including (i) motivation for applying, (ii) preferred starting date, and (iii) a brief explanation of the applicant’s background.

  2. research statement (project description) roughly within the frame of one of the topics mentioned above (max. 2 pages excl. references). This description should outline the applicant’s thoughts and ideas on possible research directions within the context of the preferred topic. 

  3. CV

  4. copies of certificates and grade sheets for all obtained degrees (English)

  5. recommendation letters or contact information of at least two references


The material should be sent as a single PDF to Katja Hose (}.

About Aalborg and Aalborg University:
Aalborg University was founded in 1974 and has a strong international profile in Mathematics, and Computer Science & Engineering. Aalborg is an attractive student city located at a fjord and close to the sea, and is well-connected (by car, train, but also via Aalborg Airport). The area features relatively low cost of living, clean air, beautiful forests and beaches, and very good transportation infrastructure. Denmark in general, and Aalborg in particular, are known for their excellent quality of life.

PhD/Postdoctoral Fellowships in Data & Knowledge Engineering and Graph Data Management