Artificial Intelligence (NLP)

؜ - ؜Giza ؜ -

Job details

Job Profile


Application Deadline
July ‎25, ‎2022


Languages


English, Excellent


Job Category


Faculty


Job Type


Full Time


Job Rank


Assistant, Associate, Full Professor


Description


Candidates are expected to teach multiple courses in the following areas:
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Re-enforcement Learning
* Natural Language Processing
* Machine Translation
* Search Engine


Successful candidates are expected to contribute significantly to the teaching
activities in the University of Science and Technology, will contribute to
undergraduate and graduate programs and will be actively engaged in research.
We are particularly interested in candidates who can initiate and carry out
independent and collaborative research in Artificial Intelligence in general
and Natural Language Processing in specific.


Qualifications


Candidates should hold a Ph.D. degree in Computer Engineering or any related
discipline with emphasis on Natural Language Processing.


Qualifications



  • Applicants must have a Ph.D. and MS from a reputable university at the time of application, in electrical or computer engineering, information systems, or a related field.

  • Extensive research and industrial work experience in Information Technology areas.

  • Experience in teaching and curriculum development is desired.

  • A commitment to excellence in teaching and scholastic activities.

  • Applicants must demonstrate an excellent record of teaching at both undergraduate and graduate levels, student evaluations, a significant record of publications in refereed journals, as well as a solid record in research.


Job Contact
E-mail


[email protected]


Job Contact
Person


Dr. Tarek Ibrahim, Dean of Academic Affairs


How to Apply


To apply fill in the form at https://forms.gle/JWJonvk6sFVnqBWu8
and send your CV to [email protected]

Job Summary

  • Advertiser: Zewail City of Science and Technology
  • Announcement date: 04/07/2022
  • Type of employment: -
  • Experience level: -
  • Educational level: -
  • Job location: Giza
  • Salary: -
  • Phone number: -
  • Email:

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