The College of Information Technology (CIT) at the United Arab Emirates University (UAEU) invites highly qualified individuals to apply for a faculty position at the Computer and Network Engineering Department. The CIT seeks candidates who can contribute to the growth of its undergraduate and graduate programs through excellence in teaching, research, and community service. Candidates who leverage Artificial Intelligence and Machine Learning and use interdisciplinary approaches to advance research in the areas of Embedded Systems are strongly encouraged to apply. Candidates are expected to have a strong commitment to teaching excellence and student advising at the undergraduate and graduate levels, a demonstrable research capability that will enable the candidate to develop and sustain an internally and/or externally funded research program in his/her area of expertise, publish his/her research findings in refeed journals, and actively engage in promoting the growth of the UAE University. The successful candidate must have research interests in the general area of Embedded Systems, with a research focus on Embedded system design, Hardware/software co-design, Embedded system architectures, Real-time Systems, and Embedded AI Qualifications include a Ph.D. or equivalent degree in computer engineering, computer science, computer systems engineering or a closely related field, a demonstrated record of research accomplishments in any of the above-mentioned topics, experience writing and securing grants, and effective and innovative teaching. Practical or industrial experience related to any of the areas above is a plus.
Faculty rank is commensurate with qualifications and experience.
The College has undergraduate degrees in computer engineering, computer science, information security, and information technology. The college is home to four master's programs in information security, information technology management, software engineering, and the Internet of Things. The college also has one doctorate program in computing and informatics. UAEU is the nation’s premier research university in the UAE and is accredited by the Commission for Academic Accreditation (CAA). For more information about the UAEU and the College of Information Technology, please see http://www.uaeu.ac.ae/ and https://cit.uaeu.ac.ae/.
The application should include a cover letter, full curriculum vitae, a brief statement of current and future research interests, evidence of excellence in research, grantsmanship and teaching, and the names and contact information for three letters of reference. English is the language of instruction and communication in the CIT. All applications must be submitted online at https://jobs.uaeu.ac.ae/search.jsp (under CIT). For problems/questions with the online application system, please contact Ms. Muna AlMazrouei (m.almazrouei@uaeu.ac.ae) and/or externally funded research program in his/her area of expertise, publish his/her research findings in refereed journals, and actively engage in promoting the growth of the UAE University. The application package should include a cover letter, a detailed resume, a brief description of current/future research activities, teaching philosophy, and courses taught. English is the language of instruction and communication. Screening of applications will continue until the position is filled.
Applicants must have an earned doctorate in the applicable field. The ability to teach undergraduate courses is a must. Industrial and professional experience is a significant advantage.
- Teaching Excellence: Demonstrated commitment to exceptional instruction and mentorship at both undergraduate and graduate levels.
- Research Capability: Proven track record in impactful research, securing internal/external funding, with a specialization in AI/Machine Learning applied to Embedded Systems.
- Grantsmanship: Experience in successful grant writing, highlighting the ability to attract funding for research initiatives.
- Practical/Industrial Experience: Practical or industrial experience related to Robotics, Autonomous Systems, applied AI/ML, or related areas is highly valued.
