PhD Positions in Data and Knowledge Engineering, Graph Data Management, and Machine Learning

Multiple PhD positions are available at the Data, Knowledge, and Web 
Engineering group [1], Department of Computer Science [2] at Aalborg 
University (AAU) in Denmark. The positions are available immediately 
with a flexible starting date within the next couple of months.

The PhD projects will be concerned with using knowledge graphs, graph 
technologies, and machine learning models and methods 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, and external data. Of particular 
interest are the scalable support of evolving data, provenance, 
exploration, analytics, embeddings, clustering, and knowledge sharing.

Two of these positions are expected to be within the context of the 
VILLUM SYNERGY project ("DarkScience: Illuminating Microbial Dark Matter 
through Data Science" [3]), where we will use data extraction, 
integration, analytics, and probabilistic machine learning to develop 
new methods and approaches that enable access and analysis of microbial 
dark matter and their interaction with the environment.

For further information or questions, please do not hesitate to contact 
Katja Hose (khose@cs.aau.dk), http://www.cs.aau.dk/~khose


Requirements
------------
Applicants who wish to apply for a PhD position must have a Master’s 
degree in computer science or a closely related field. Applicants who 
wish to apply for an integrated PhD stipend must be enrolled in a 
relevant Master’s program. Due to the project’s angle, applicants must 
have a strong background in data and knowledge engineering, graph data 
management and querying, and machine learning. Additional knowledge and 
experiences within the following areas are highly appreciated: data 
integration (data lakes, fabrics), provenance, Bayesian machine 
learning, deep learning, dynamic knowledge graphs, exploratory 
analytics, bioinformatics, and data science. Outstanding spoken and 
written communication skills in English are essential.


Application
-----------
- a cover letter of max. 1 page, including (i) motivation for applying, 
(ii) preferred starting date, and (iii) a brief explanation of the 
applicant’s background.
- a research statement (project description) roughly within the frame of 
"data and Knowledge engineering, graph data management, and machine 
learning on graphs" of max. 2 pages (excl. references). This description 
should outline the applicant’s thoughts and ideas on possible research 
directions within the context of the topics outlined above.
- a CV
- Diplomas and transcripts of records
- other relevant information incl. contacts of referees and 
recommendation letters


Application deadline:
February 20, 2023

Application link and position details:
https://www.stillinger.aau.dk/vis-stilling/?vacancy=1203788


Aalborg University
------------------
Aalborg University [4] 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 costs 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.



Links
[1] https://www.cs.aau.dk/research/data-knowledge-and-web-engineering
[2] https://www.cs.aau.dk/
[3] 
https://www.cs.aau.dk/research/Data-Knowledge-and-Web-Engineering/vis_dkw/new-project-will-open-the-door-to-the-secret-world-of-bacteria.cid539986
[4] https://www.en.aau.dk/

Received on Friday, 27 January 2023 12:36:55 UTC