[DL] 2 tenure track positions in AI @ Vrije Universiteit Amsterdam

[Mark Hoogendoorn]

At the Department of Computer Science of the Vrije Universiteit 
Amsterdam we have two new tenure track positions available in the domain 
of AI. The application deadline is April 30th for both positions. Please 
find a brief description of the positions below including a link to a 
more detailed vacancy description.

*Assistant Professor in Machine Learning (tenure track)
*

We are looking for a new assistant professor who will collaboratively 
contribute to research and teaching in the area of machine learning 
(ML). The position is embedded in the Quantitative Data Analytics group. 
The group focuses on both fundamental and application-driven research in 
ML. We are looking for candidates with experience in the area of machine 
learning, with a special preference for those having expertise in one or 
more of the following areas: data-efficient ML methods, explainability 
of ML methods, and the utilization of domain knowledge in ML. We are 
interested in attracting an active researcher, able to perform 
ground-breaking research and to apply this research in relevant societal 
domains, including health-related analytics. On top, the candidate 
should be passionate about teaching.

For more details, see 
https://workingat.vu.nl/ad/tenure-track-assistant-professor-machine-learning/8kur3v 


*Assistant or Associate Professor in AI & Health (tenure track)
*

The potential of techniques from Artificial Intelligence for improved 
patient care is widely recognized. However, the number of applications 
that make it to the patient or clinician remains low. One of the causes 
of this gap is that clinicians and AI experts often speak a different 
language. To try and bridge the gap between the two disciplines the 
Amsterdam UMC (AUMC) and Vrije Universiteit Amsterdam (VU) are joining 
forces and are creating a joint position between the Cancer Center 
Amsterdam of the Amsterdam UMC and the Department of Computer Science at 
the Vrije Universiteit Amsterdam.

The position will focus on the use and re-use of structured and 
semi-structured clinical data (opposed to medical imaging or 
bioinformatics) to deploy and improve machine learning techniques to 
develop clinically relevant models, mainly (but not exclusively) 
targeting predictive modeling and personalization of healthcare. Besides 
purely data-driven approaches, making a combination with the vast amount 
of domain knowledge present in the medical domain is also in scope.

We are looking for a colleague with a cutting expertise to maintain our 
stream of high quality publications in this area, acquire external 
research grants, conduct excellent teaching, and act as a bridge builder 
between the two involved institutes.

For more details, see 
https://werkenbij.vu.nl/ad/assistant-associate-professor-in-ai-and-health-f-m/zxjo0t

Best regards,

Mark

---

Mark Hoogendoorn

Full Professor of Artificial Intelligence
Chair Quantitative Data Analytics Group

Vrije Universiteit Amsterdam
Faculty of Science, Department of Computer Science

T +31 20 59 87772 | M +31 6 539 22626
E m.hoogendoorn at vu.nl <mailto:m.hoogendoorn at vu.nl> | URL 
www.cs.vu.nl/~mhoogen/ <http://www.cs.vu.nl/~mhoogen/>
MAILING ADDRESS: De Boelelaan 1111, 1081 HV Amsterdam
VISITING ADDRESS: NU-10A87


-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.zih.tu-dresden.de/pipermail/dl/attachments/20210323/2552d9da/attachment.htm>