Dear All,

We have an exciting opportunity for highly motivated and talented
researchers to apply for our Postdoctoral position at GREYC Research Centre
(https://www.greyc.fr/en/home/), France. Since 2000, the GREYC has been a
joint research unit associated with the French National Centre for
Scientific Research (CNRS), the University of Caen Normandy (UNICAEN) and
the Ecole Nationale Supérieure d’Ingénieurs de Caen (ENSICAEN). The GREYC
lab realizes research works in the field of digital science with activities
in image processing, machine learning, artificial intelligence, computer
security, fundamental computer science, Web science, electronics. It has 7
research groups with faculty members from ENSICAEN, UNICAEN and CNRS, PhD
students and administrative & technical members.

The postdoctoral scholar will be working on Multimodal Neural Web Page
Segmentation with a primary goal to detect the different zones of a web
page. This interdisciplinary research project combines computer vision,
natural language processing, and machine learning techniques to develop
advanced algorithms capable of segmenting web pages into meaningful and
semantically distinct regions.


*Location: **GREYC Research Centre *(https://www.greyc.fr/en/home/)*,
France*

*Closing Date: **15 August*, *2023*


*Benefits:*

The successful candidate will receive a competitive salary and other
benefits, as well as access to state-of-the-art research facilities and
resources. The fellowship will be initially offered for 12-18 months, with
the possibility of extension based on performance.


*Eligibility Criteria:*

Applicants interested in this position must meet the following criteria:

   -

   Hold a recent Ph.D. degree in Computer Science, Electrical Engineering,
   or a related field.
   -

   Demonstrate a strong research background in natural language processing
   or computer vision.
   -

   Possess a track record of publications in top-tier conferences/journals
   related to computer vision, NLP, or related areas.
   -

   Strong programming skills.
   -

   Excellent written and verbal communication and interpersonal skills.



*Application Process:*

Interested candidates can send an application with the following documents
directly Prof. Gael Dias, email: [email protected] and Dr. Mohammed
Hasanuzzaman, email: [email protected]

   -

   Updated Curriculum Vitae (CV) with a list of publications.
   -

   A cover letter outlining research interests, relevant background, and
   motivation for applying.
   -

   Contact information for three academic referees who can provide
   recommendation letters.


------------------------------------------------------------------------------------------------------

*Dr. Mohammed Hasanuzzaman, Lecturer, Munster Technological University
<https://www.mtu.ie/> *
*Funded Investigator, ADAPT Centre- <https://www.adaptcentre.ie/> A
<https://www.adaptcentre.ie/>* World-Leading SFI Research Centre
<https://www.adaptcentre.ie/>

*Member, Lero, the SFI Research Centre for Software
<https://lero.ie/>**C**hercheur
Associé*, GREYC UMR CNRS 6072 Research Centre, France
<https://www.greyc.fr/en/home/>
*Associate Editor:** IEEE Transactions on Affective Computing, Nature
Scientific Reports, IEEE Transactions on Computational Social Systems, ACM
TALLIP, PLOS One, Computer Speech and Language*
Dept. of CS

Munster Technological University
Bishopstown campus

Cork e: [email protected] <[email protected]>/
Ireland https://mohammedhasanuzzaman.github.io/



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