[Humanist] 31.250 PhD studentships (heritage studies)

Humanist Discussion Group willard.mccarty at mccarty.org.uk
Thu Aug 17 07:11:10 CEST 2017

                 Humanist Discussion Group, Vol. 31, No. 250.
            Department of Digital Humanities, King's College London
                Submit to: humanist at lists.digitalhumanities.org

        Date: Wed, 16 Aug 2017 16:58:30 +0200
        From: Mike Kestemont <mike.kestemont at gmail.com>
        Subject: PhD positions Antwerp/Liège

The Departments of Literature and Linguistics (Faculty of Arts and
Philosophy) of the University of Antwerp and the Montefiore Institute
(Faculty of Applied Sciences) of the University of Liège are seeking to
fill two full-time (100%) vacancies for Doctoral Grants in the area of
machine/deep learning, language technology, and/or computer vision for
enriching heritage collections.

The two positions are available within the framework of the INSIGHT
(Intelligent Neural Systems as InteGrated Heritage Tools) project, funded
by the Belgian Science Policy Office. This project unites academic partners
from Liège and Antwerp with stakeholders from the heritage sector (Royal
Museums of Fine Arts / Art and History, Brussels). The project focuses on
multimodal applications of “deep” representation learning to enrich and
improve access to heritage collections and push boundaries in computational
art history.

The Platform for Digital Humanities in the University of Antwerp engages
with multiple aspects of the application of computing technologies in the
Humanities. The CLiPS research center focuses on the application of
statistical and machine learning methods in language technology. Scholars
in the department of literature focus on the application of X-technologies
and Machine Learning in literary studies. The department of Electrical
Engineering and Computer Science of the University of Liège has developed a
strong expertise in machine learning and its application in various fields
such as computer vision. In this latter domain, ULg partners involved in
the project have developed the opensource Cytomine platform for advanced
image analysis.

Job description
* You prepare a doctoral thesis in the field of machine/deep learning,
language technology, and computer vision in the context of heritage studies.
* You publish scientific articles related to the research project of the
* You contribute to teaching and research in the host departments.

Profile and requirements
* You hold a master degree in a field, broadly relevant to Digital
Humanities, Art History, Computer Science, Linguistics, Computer Vision,
and/or Machine Learning.
* You can submit outstanding academic results.
* Foreign candidates are encouraged to apply.
* You are quality-oriented, conscientious, creative and cooperative.
* The ideal candidate will have demonstrable, first-hand experience in
Machine Learning for computer vision or for Language Technology (in the
Digital Humanities), in particular distributional semantics (word
embeddings) and representation learning.
* You have an excellent knowledge of academic English. Knowledge of Dutch
or French is not required but is an asset for the project.
* The ideal candidate has demonstrable experience in a programming language
such as Python, and ideally also deep learning frameworks, such as
Tensorflow or PyTorch.
* The ideal candidate will have a broad interest in heritage, the GLAM
sector and/or art history.

We offer
* A doctoral scholarship for a period of two years, with the possibility of
renewal for a further two-year period after positive evaluation;
* The start date of scholarship will be October 1st, November 1st or
December 1st 2017 or January 1st 2018;
* A dynamic and stimulating work environment. One PhD student is expected
to be mainly located in Antwerp and the other one in Liège, with exchange
stays planned between the two Universities. Double doctoral degrees will be

* Applications should be submitted by email and should include a copy of
your CV, a cover letter and, if available, a research paper / MA thesis and
a link to the candidate’s portfolio page, with code samples, on a site such
a GitHub. The positions remain open until fulfilled.
* For application or questions about the profile and the description of
duties, please contact Prof. Mike Kestemont, mike.kestemont(at)uantwerp.be
or Prof. Pierre Geurts, p.geurts(at)ulg.ac.be.
PhD positions in machine learning for enriching heritage collections,
Universities of Antwerp and Liège (Belgium)

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