We offer a two-year research position for a postdoctoral or predoctoral
scientist on the topic of explainable AI in the context of natural language
processing of clinical reports at the Department of Computer Science, KU
Leuven.. The position is financed by the CHIST-ERA project ANTIDOTE
(ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal
mEdicine). The project focuses on deep learning models for text
classification in the medical domain, where the need for high quality
explanations of clinical decisions is critical. The project proposes an
integrated approach for the understanding of textual medical data and the
generation of a textual explanation to justify a medical diagnosis made by
a neural network, so that clinicians can judge its validity.
The partners of the ANTIDOTE project provide annotated argumentative
structures of natural language explanations of medical decisions (human
explanations).
We will also leverage larger-scale data (without annotated explanation) in
order to improve explanation generation. One way would be to use feature
importance techniques (Integrated gradients, LIME or preferably
search-based methods) applied to models trained to perform medical
decisions, to guide explanation generation.
KU Leuven is declared the most innovative university in Europe by Reuters
four years in a row and is ranked 42th on the Times Higher Education World
University Ranking (2022).
Offer
* We offer a research position for 2 years starting September 1 or the
latest October 1, 2022.
* We offer a competitive wage and yearly budget to attend conferences.
* We offer the opportunity for personal development beyond research
including the supervision of master and PhD students and the possibility to
contribute to teaching.
* Access to our deep learning cluster which contains the latest GPU
hardware.
If interested,please apply the latest by July 31, 2022. Excellent
candidates will be invited for an online interview. The position will be
closed once a suitable candidate is found.
Responsibilities
* Perform fundamental research in natural language processing, machine
learning and explainable AI resulting in publications in highly-ranked
venues.
* Collaborate with the other European partners of the ANTIDOTE project.
* Carry out some (light) teaching duties if interested, which may include
lectures, the organization of student seminars, and the supervision of
bachelor and master theses.
Profile
* You have (or are near completion of) a master or PhD in Computer Science
.
* Given that we have to fill in the research position very soon, we will
only consider applicants who can work at KU Leuven, Belgium without visa.
* You have a demonstrated expertise in machine learning, deep neural
networks and natural language processing. Expertise in structured
prediction and/or structured generation is a plus.
* You have an outstanding track record of publications in relevant
international peer-reviewed A ranked conferences and in journals with high
impact factor in the fields of machine learning and natural language
processing.
* You are good at collaborating with others.
* You work proactively and independently and have good communication skills.
* You have an excellent knowledge of the English language, both spoken and
written as well as of another European language (e.g., French, Spanish or
Italian).
* You are highly motivated, ambitious and result-oriented.
For more information please contact Dr Damien Sileo mail:
damien.sileo(a)kuleuven.be or Prof. Dr. Marie-Francine Moens, mail:
sien.moens(a)kuleuven.be with [XAI22] in your e-mail subject.