Data Science and Analytics

؜ - ؜الجيزة ؜ -

تفاصيل الوظيفة

Job Profile


Application Deadline
June ‎16, ‎2022


Languages


English, Excellent


Job Category


Faculty


Job Type


Full Time


Job Rank


Assistant, Associate, Full Professor


Description


The School of Computational Sciences and Artificial Intelligence at the
University of science and technology (UST) at Zewail City announces a full-
time faculty position, the Data Science and Analytics will be the focus area
of this faculty opening.


We seek candidates with skills and demonstrated research expertise in data
science areas such as machine learning, text as data, large-scale computing,
and networks. Candidates must possess a Ph.D. and have a record of research
and teaching that with an international experience highly preferred. The ideal
candidate will be a dynamic leader eager to make interdisciplinary connections
across Zewail City data science research community. We welcome candidates from
a variety of academic disciplines, including data science, mathematics,
computer science, computational linguistics, computational social science,
economics, health informatics, information science and statistics. Applicants
may be doing advanced data science work in a specific discipline we have not
identified above.


The Data Science and Analytics Program provides students with rigorous
training in analytical, computational, mathematical, and statistical methods
and models to prepare them for careers in data science and analytics. The Data
Science and Analytics Program offers courses in big data and cloud computing,
machine and deep learning, interactive and complex visualization methods,
advanced structures, objects, algorithms, and complexity, text mining and
natural language processing, advanced mathematical and statistical modeling,
databases, and more. Additional responsibilities include teaching in-class and
online courses. The position will collaborate with other faculty, develop
courses, and teach across several programs. Extensive Teaching and curriculum
development experience is highly preferred.
Performance Functions :
* Develop the curriculum and teach a variety of data science and analytics courses.
* Actively engage with students and provide constructive feedback on assignments.
* Motivate students to actively participate in all aspects of the educational process.
* Participate in selecting and managing adjunct professors for assigned courses.
* Develop and maintain curricula in both online and classroom formats.
* Participate in program assessment, accreditation and committee/community service.
* Other duties as assigned by the Program Director and the Dean.
The successful candidate will contribute to undergraduate and graduate
programs and will be actively engaged in research.


Qualifications



  • Applicants must have a PhD and MS obtained from a reputable university at the time of application, in Computer Science, Software Engineering, Information Systems or a related field required.

  • Extensive research and industrial work experience in Analysis and data science 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, and a solid record in research.


Salary (L.E.)


Negotiable


Job Contact
Person


Dr. Tarek Ibrahim, Dean of Academic Affairs


Job Contact
E-mail


Please send your application to ([email protected]) including:
* A letter of application
* Resume/CV
Research Statement, Teaching Statement, List of Publications.


How to Apply


Please send your updated CV with the job title in the subject

ملخص الوظيفة

  • المُعلن : Zewail City of Science and Technology
  • تاريخ الإعلان : 17/05/2022
  • نوع العمل : -
  • مستوى الخبرة : -
  • المستوى التعليمي : -
  • مكان العمل : الجيزة
  • الراتب : -
  • الهاتف : -
  • البريد الإلكتروني :

    إظهار البريد الإلكتروني

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Language: English