Professor position in Unsupervised and Manifold Learning for Biotechnology applications
Yvan Saeys
Open Professor position in Unsupervised and Manifold Learning for Biotechnology applications at Ghent University
Description
In many areas of science, technological advances allow measuring
increasingly large and complex datasets. A primary example is the
domain of biotechnology where methods such as single-cell omics,
proteomics, metabolomics and high-throughput screening result in
massive amounts of data that offer huge challenges for
interpretation and analysis.
Unsupervised learning offers a powerful set of tools to extract
structure, reduce dimensionality, and uncover hidden patterns in
such data without relying on labeled data. Key techniques such as
manifold learning, self-supervised and contrastive learning are
especially valuable for data-driven exploration, visualization and
interpretation of complex, high-dimensional spaces. These methods
empower researchers to uncover hidden biological structures,
generate hypotheses, and accelerate innovation in areas ranging
from single-cell omics to precision medicine.
This vacancy focuses on the algorithmic aspects of these
techniques.
We are seeking to recruit a strong researcher with a background in
computer science. The ideal candidate can provide computer
science education in the field of data structures and algorithms
and is able to attract computer science students for both master's
theses and PhDs. This position aligns with the computer science
research conducted in several research groups within the WE02
department.
Academic education
You contribute to teaching in computer science education. You
will be responsible for teaching a course related to algorithms in
the bachelor program computer science, as well as a more advanced
course on AI algorithms related to your research in the master
program in computer science. You will be offering topics for
master's theses for, among others, computer science students and
be responsible for the supervision of these master theses.
Academic research
You conduct innovative and internationally recognized research in
the field of unsupervised learning, with a focus on
self-supervised, contrastive and manifold learning.
Institutional and societal engagement
Based on your expertise and experience, you will contribute to the
university's operations and/or take on external assignments.
Application details can be found online at https://jobs.ugent.be/job/Ghent-Professor-in-Unsupervised-and-Manifold-Learning-for-Biotechnology-applications-9000/1328687257/
Job ID: 29121
→ Apply until 17/11/2025 (DD/MM/YYYY) 23:59 (Brussels time)
→ Discipline: Unsupervised and Manifold Learning for
Biotechnology applications
→ 100% Full professor / Senior full professor
→ Faculty of Sciences
→ Reference number: 202509/WE/ZAP/002
HOW TO APPLY
Apply online through the e-recruitment system before the
application deadline (see above). We do not accept late or
incomplete applications, or applications that are not sent through
the online system.
Your application must include the following documents:
In the field ‘Application form’: the application form + any
attachments merged into one pdf file. Additional documents may be
requested from shortlisted candidates.
In the field ‘Diploma’: a transcript of your doctoral degree. If
you have a foreign diploma in a language other than our national
languages (Dutch, French or German) or English, please add a
translation in one of the mentioned languages.
In the field ‘Certificate of equivalence’: only for diplomas
awarded outside the European Union: certificate of equivalence
(NARIC) (if already in you possession). For diplomas awarded in
the UK before January 31st of 2020, a certificate of equivalence
is not required.
Note that the maximum file size for each field is 10 MB.
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=============================================================================== Prof. dr. Yvan Saeys VIB Group Leader Data mining and modeling for biomedicine UGent Department of Mathematics, Computer Science and Statistics Krijgslaan 281, S9, B-9000 Gent Inflammation Research Center, a VIB-UGent Department Technologiepark-Zwijnaarde 71 , B-9052 Zwijnaarde , Belgium Tel : +32 9331 3741 Fax : +32 9221 7673 Mailto:yvan....@ugent.be https://saeyslab.sites.vib.be/ ===============================================================================