Faculty Position (All Ranks)

Description:
The College of Information Technology (CIT) has engaged in an ambitious
reorganization effort aiming to harness the prevalence of computing and the
rise of artificial intelligence to advance science and technology innovation,
for the benefit of society. Under its new structure, the College will serve as
the nexus of computing and informatics at the United Arab Emirates University
(UAEU). CIT will build on the strength of its current research programs to
create new multidisciplinary research initiatives and partnerships, across and
beyond the university campus, critical to its long-term stability and growth.
CIT will also expand its education portfolio with new multidisciplinary degree
programs, including a BSc. in Artificial Intelligence, a BSc. in a Data
Science, a BSc. in Computational Linguistics, jointly with the College of
Humanities and Social Sciences, a MSc. in IoT, and a Ph.D. in Informatics and
Computing. Also planned is a suite of online Microcredentials in emerging
fields of study, including IoT, Cybercrime Law and Digital Forensics,
Blockchains, and Cloud Computing.

About the Position:
We seek faculty candidates with strong research record in all areas of
Artificial Intelligence and Data Science, with a special emphasis on emerging
areas of Artificial Intelligence and Machine Learning and on the theoretical
foundations and applications of Data Sciences and AI/ML in a wide range of
fields and domain applications, including Smart IoT, Smart Environments and
Autonomous and Intelligent Systems. The successful candidates are expected to
complement and enhance the current strength of the departments in AI and Data
Science related areas, including Deep Learning, Natural Language Processing,
Big Data, and Data Mining, and to contribute to the teaching and research in
these areas.

Candidate Qualifications:
Candidates must hold a Ph.D. degree in computer science, information science
or closely related areas from a recognized university. Preferred
qualifications include:
* Established record of discipline specific research publications in internationally recognized journals and conferences.
* Demonstrated experience writing and securing grants and contracts.
* Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels.
* Ability to work collaboratively with faculty across multiple departments and programs.
Faculty rank is commensurate with qualifications and experience. The positions
will remain open until filled.

The UAEU and CIT are committed to fostering a diverse, inclusive, and
equitable environment and culture for students, staff, and faculty.

Application Instructions:
Applications must be submitted online at https://jobs.uaeu.ac.ae/search.jsp
(postings under CIT). The instructions to complete an application are
available on the website. A completed application must include:
* A cover letter reflecting on your interest and alignment with CIT’s mission;
* An up-to-date curriculum vitae;
* A research statement, describing current and future research;
* A teaching statement, describing teaching philosophy; and
* The names and contact information for at least three recommenders.
Questions/enquiries should be addressed to Ms. Muna AlMazrouei.
([email protected])

About the UAEU:
The United Arab Emirates University (UAEU) is the first academic institution
in the United Arab Emirates. Founded by the late Sheikh Zayed bin Sultan Al
Nahyan in ‎1976, UAEU is committed to innovation and excellence in research and
education. As the country’s flagship university, UAEU aims to create and
disseminate fundamental knowledge through cutting-edge research in areas of
strategic significance to the nation and the region, promote the spirit of
discovery and entrepreneurship, and educate indigenous leaders of the highest
caliber.

Minimum Qualification
Candidates must hold a Ph.D. degree in computer science, information science
or closely related areas from a recognized university. Preferred
qualifications include:
* Established record of discipline specific research publications in internationally recognized journals and conferences.
* Demonstrated experience writing and securing grants and contracts.
* Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels.
* Ability to work collaboratively with faculty across multiple departments and programs.
Preferred Qualification
Strong research record in all areas of Artificial Intelligence and Data
Science, with a special emphasis on emerging areas of Artificial Intelligence
and Machine Learning and on the theoretical foundations and applications of
Data Sciences and AI/ML in a wide range of fields and domain applications,
including Smart IoT, Smart Environments and Autonomous and Intelligent
Systems. The successful candidates are expected to complement and enhance the
current strength of the departments in AI and Data Science related areas,
including Deep Learning, Natural Language Processing, Big Data, and Data
Mining, and to contribute to the teaching and research in these areas.