05/01/2022
The Human Resources Strategy for Researchers

Digital Engineering for the Humanities/Computer Vision

This job offer has expired


  • ORGANISATION/COMPANY
    Université de Paris
  • RESEARCH FIELD
    Computer science
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    15/02/2022 00:00 - Europe/Brussels
  • LOCATION
    France › PARIS
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    37.5
  • OFFER STARTING DATE
    15/02/2022

OFFER DESCRIPTION

Post-doc – Digital Engineering for the Humanities/Computer Vision

 

The LARCA laboratory has one open post-doc position in computer vision, in the specific field of image analysis and pattern recognition

 

Duration: 16 months

Position available from: As soon as possible, to be discussed with the successful candidate ideally February 2022 and for up to 16 months.

 

Salary :

• Candidates with a completed Phd: approximately 2100 € / month (net income)

Hardware and software will be paid for by the lab.

 

Place: LARCA/LIPADE, Université de Paris, France - Remote work complemented by regular meetings (both online and in Paris) can be discussed with the hiring committee.

Specialty: Computer Science/Image Processing/Document Analysis/Pattern Recognition/Deep Learning/ Digital Engineering for the Humanities

 

Contact: Karl Gosselet et Daniel Foliard

 

 

Position Description

The LARCA Lab is leading a project in digital humanities with focus on the history of photography. The post-doc will join the EyCon project (Early Conflict Photography and Visual AI). The objective is to create innovative tools to index and interact with a large corpus of photographs documenting armed violence between 1890 and 1918. The project is supported by a consortium of archival institutions in France and in the UK. The EyCon team is made of 6 researchers and engineers. The project is funded by an Idex grant as well as by an AHRC/Labex Passés dans le Présent joint grant. The successful candidate will be co-supervised by members of the LIPADE computer science laboratory at the University of Paris (http://lipade.mi.parisdescartes.fr/?page_id=248&lang=fr). The successful candidate will join a team that includes one data architect and two other postdocs.

The successful candidate will apply automated algorithms from the field of Artificial Intelligence (AI) to support historical and archival investigation. They will design approaches to extract relevant information in early war pictures and to understand their content. They will have to experiment with transfer, semi-supervised and unsupervised learning to enrich EyCon’s photographic database with descriptive metadata and enable users to navigate a large visual data set. The candidate should be able to apply multimodal deep learning to the dataset (textual and visual). The candidate will work on improving:

- the detection and understanding of the scenery (naval/ground warfare, relief, interior/exterior scenes)

- the detection and understanding of the context of the scene (battle, before/after combat)

-object/person detection and recognition within an ethical AI framework (weaponry, women in conflicts, children in conflicts, colonial troops, animal in conflicts)

The candidate will implement dedicated tools to collect ground truth annotations from user partners of the project’s consortium. They will also design evaluation protocols.

 

Qualifications

Candidates must have an MA or a completed PhD as well as research experience in deep learning, image recognition and analysis, pattern recognition.

 

General Qualifications

• Excellent programming skills mastering at Python and programming skills in other languages Java, C/C++

• Good teamwork skills

• Good writing skills and proficiency in written and spoken English (French is not a requirement)

 

Applications

Candidates should send a CV and a motivation letter to Karl Gosselet sylvain-karl.gosselet@cnrs.fr

 

 

 

More Information

Work location(s)
1 position(s) available at
Université de Paris
France
PARIS
75006
85 boulevard Saint-Germain

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Know more about it at Université Paris Cité

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EURAXESS offer ID: 725873

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