[OpenGLAM] FW: [DARIAH-BE] Funded PhD position Antwerp in DH: multimodal deep learning for heritage collections

Ellen Van Keer ellen.vankeer at fine-arts-museum.be
Fri Feb 23 09:00:40 UTC 2018

*sorry for cross-posting*

We have a vacancy that could be of interest to members of the GLAM community.
Feel free to distribute this announcement further.


From: Mike Kestemont [mike.kestemont at gmail.com]
Sent: Thursday, February 22, 2018 7:54 PM
To: humanist at lists.digitalhumanities.org; dariah-be at lists.ugent.be; dh_flanders at googlegroups.com
Subject: [DARIAH-BE] Funded PhD position Antwerp in DH: multimodal deep learning for heritage collections


The Departments of Literature and Linguistics (Faculty of Arts and Philosophy) of the University of Antwerp are seeking to fill a full-time (100%) vacancy for a Doctoral Grant in the area of machine/deep learning, language technology, and/or computer vision for enriching heritage collections.

The position is 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.

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 assignment.
• 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.The focus in your teaching corresponds to the educational vision of the university.
• Your academic qualities comply with the requirements stipulated in the university’s policy.
• You are quality-oriented, conscientious, creative and cooperative.

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 scholarship is already available and can start immediately;
• A dynamic and stimulating work environment.

How to apply?
• Applications should be submitted as soon as possible via the University's application system: http://solliciteren.ua.ac.be/. Your file 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.
• For application or questions about the profile and the description of duties, please contact Prof. Mike Kestemont, mike.kestemont(at)uantwerp.be<http://uantwerp.be> or Prof. Walter Daelemans, walter.daelemans(at)uantwerp.be<http://uantwerp.be>.

The University of Antwerp is a family friendly organization, with a focus on equal opportunities and diversity. Our HR-policy for researchers was awarded by the European Commission with the quality label 'HR Excellence in research'.


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