associate professor computer science

ITS Engineering College

<p><b>Job description:</b></p><p>Job description &ndash; Assistant Professor</p><p>Role: Assistant Professor CSE</p><p>Industry Type: Education / Training</p><p>Department: Teaching &amp; Training</p><p>Employment Type: Full Time/Permanent</p><p>Education: B.Tech, M.Tech, PHD (Net Qualified)<br/>Location: Knowledge Park-III, Greater Noida(U.P.)</p><p>Experience: 3yr to 6yr<br/>Salary: 45,000 - 70,000/- (Negotiable)</p><p><b>Key Skills:</b></p><p>1. Programming Languages (C, C++,JAVA, Python)</p><p>2. Data Structures and Algorithms</p><p>3. Computer Architecture and Operating Systems</p><p>4. Cyber Security</p><p>5. Cloud Computing</p><p>6. Artificial intelligence</p><p>7. Data Analytics</p><p>8. Software Development</p><p><b>Roles &amp; Responsibilities:</b></p><p>&middot; As an Assistant Professor of Computer Science, you will play a pivotal role in shaping the future of technology by educating and inspiring the next generation of computer scientists</p><p>&middot; Your expertise in computer science, passion for teaching, and commitment to research will contribute to the academic and intellectual growth of our students</p><p>&middot; You will engage in designing and delivering courses, conducting research projects, and providing mentorship to students pursuing careers in technology</p><p>&middot; Responsibilities: Teaching Excellence: Design and deliver undergraduate and/or graduate-level computer science courses that promote critical thinking, problem-solving, and innovation</p><p>&middot; Course Development: Develop course syllabi, assignments, projects, and assessments that align with academic standards and industry trends</p><p>&middot; Student Mentorship: Provide academic guidance and mentorship to students, fostering their technical and professional growth in the field of computer science</p><p>&middot; Research Contributions: Engage in cutting-edge research in computer science, contributing to scholarly publications, conferences, and collaborative projects</p><p>&middot; Curriculum Enhancement: Contribute to the development and evolution of computer science curricula, incorporating emerging technologies and methodologies</p><p>&middot; Innovative Instruction: Utilize modern teaching methods, tools, and technologies to create engaging and interactive learning experiences</p><p>&middot; Scholarly Engagement: Participate in academic conferences, workshops, and seminars to stay updated on developments in computer science</p><p>&middot; Service and Committees: Participate in departmental and university committees, contributing to academic planning and institutional initiatives</p><p>&middot; Student Projects: Oversee student research projects, capstone projects, and collaborative initiatives that bridge academia and industry</p><p>&middot; Collaboration: Collaborate with fellow faculty members on interdisciplinary projects and industry partnerships.</p><p>Job Types: Full-time, Permanent</p><p>Pay: ₹55,000.00 - ₹80,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Assistant Professor (CSE)

Rutgers University

<div><div><h2 class="jobSectionHeader"><b>Position Details</b></h2>
<div><div><div>Position Information
</div><p></p><div><div><div><div><b>Recruitment/Posting Title</b></div> <div>Open Rank Associate Professor/Professor in Data Science</div>
</div><br>
<div><div><b>Department</b></div> <div>Brain Health Institute</div>
</div><br>
<div><div><b>Salary Details</b></div> <div>A range of $150,000 to $250,000</div>
</div><br>
<div><div><b>Offer Information</b></div>
<div>The final salary offer may be determined by several factors, including, but not limited to, the candidate&rsquo;s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university&rsquo;s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.</div>
</div><br>
<div><div><b>Benefits</b></div>
<div><div>Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:</div>
<ul><li>Medical, prescription drug, and dental coverage</li>
<li>Paid vacation, holidays, and various leave programs</li>
<li>Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options</li>
<li>Employee and dependent educational benefits (when applicable)</li>
<li>Life insurance coverage</li>
<li>Employee discount programs</li>
</ul></div>
</div><br>
<div><div><b>Posting Summary</b></div>
<div><div><b>The</b> <b>Herbert and Jacqueline Krieger Klein Alzheimer&rsquo;s Research Center </b>at the Brain Health Institute (BHI), is seeking data scientists for a tenure-track faculty position at the Associate or Full Professor level at Robert Wood Johnson Medical School (RWJMS) and BHI within <b>Rutgers Biomedical &amp; Health Sciences</b> (RBHS). We seek a faculty member who is experienced in using advanced statistical and machine learning techniques to analyze datasets related to aging, Alzheimer&rsquo;s disease or related dementias. The successful candidate will work as part of a multi-disciplinary team including neurologists, neuropsychologists, and neuropathologists. The Alzheimer&rsquo;s Research Center will develop a research cohort of individuals at high risk for dementia. This cohort will be extensively phenotyped for clinical, cognitive, genetic, neuroimaging, behavioral, digital and blood biomarker measures. In addition to scientific leadership, responsibilities will also include mentorship of young investigators. Applicants must have experience with large-scale longitudinal studies, and an interest in studying the earliest stages of Alzheimer&rsquo;s disease. The faculty member will play a critical role in advancing our institution&rsquo;s research and expertise in the field of Alzheimer&rsquo;s disease, dementia, and related neurodegenerative disorders, and will be responsible for conducting data-driven research, analyzing complex datasets, and contributing to our institution&rsquo;s mission of understanding, preventing, and treating these disorders.</div><div>
Qualifying tenure-stream applicants must have an established scholarly record demonstrating ability to develop and lead a program of independent, NIH funded research. Candidates are expected to have an established federal grant portfolio that can be transferred to Rutgers. Successful applicant(s) will serve as a core member(s) within the new Herbert and Jacqueline Krieger Klein Alzheimer&rsquo;s Center at BHI, with a primary appointment in the Department of Neurology at RWJMS. The Herbert and Jacqueline Krieger Klein Alzheimer&rsquo;s Center is a new center within BHI at Rutgers University with the mission of establishing an interdisciplinary, integrated program to provide comprehensive research focused on prevention and treatment of Alzheimer&rsquo;s disease and related dementias. This center is the first of its kind in New Jersey, and the successful applicant will be integral to its development. Ideal candidates will bring vision and experience in modern aging and memory research and enthusiasm for collaborative team science.</div></div>
</div><br>
<div><div><b>Position Status</b></div> <div>Full Time</div>
</div><br>
<div><div><b>Posting Number</b></div> <div>24FA0246</div>
</div><br>
<div><div><b>Posting Open Date</b></div>
</div><br>
<div></div><div><div><b>Posting Close Date</b></div> <div>01/07/2026</div>
</div><br>
</div></div></div><div><div>Qualifications
</div><p></p><div><div><div><div><b>Minimum Education and Experience</b></div>
<div><div>Ph.D., MD, MD/PhD, or equivalent terminal degree in Data Science, Bioinformatics, Neuroscience, or a related field.</div><div>
A research program with currently active federal funding. Preference will be given to NIH-funded investigators at the Associate Professor level or above; however, superb young investigators with NIH funding and a high potential for scientific independence and success will also be considered. Physician-scientists are highly encouraged to apply, but clinical credentials are not a requirement for the position.</div><div>
Strong expertise in data analysis and machine learning and experience in the analysis of diverse data types (clinical, genetic, imaging, digital, blood biomarker).</div><div>
Cultural and language competency and/or experience working with one or more of the underserved communities is desirable.</div></div><br>
<div></div>
</div><br>
<div><div><b>Certifications/Licenses</b></div>
</div><br>
<div></div><div><div><b>Required Knowledge, Skills, and Abilities</b></div>
<div><div><b>ESSENTIAL</b><b> </b><b>DUTIES</b><b> </b><b>AND</b><b> </b><b>RESPONSIBILITIES</b><b> </b>include the following.<b> </b>Other duties may be assigned</div><ul>
<li>Serve as a key leader in developing all data-related aspects of a well phenotyped dementia risk cohort.</li>
<li>Provide leadership in ensuring robust data analysis protocols.</li>
<li>Lead a program of federally funded, data-driven research in Alzheimer&rsquo;s disease and related dementias that will contribute to the development of, and leveraging of the research cohort, in order to better understand the mechanisms and risk factors associated with Alzheimer&rsquo;s disease.</li>
<li>Lead and collaborate on manuscripts using cohort data.</li>
<li>Oversee the collection, curation, and management of clinical, genetic, imaging, digital and biomarker data.</li>
<li>Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer&rsquo;s disease.</li>
<li>Implement machine learning models to improve prediction, diagnostic accuracy and monitoring of disease progression.</li>
<li>Lead and contribute to grant proposals that support future funding of cohort data collection and address research questions of high scientific and public health importance in Alzheimer&rsquo;s disease and related dementias.</li>
<li>Successfully compete for extramural funding</li>
<li>Participate in mentoring, training, and professional development of staff, post-doctoral fellows, junior physicians, students, and others collaborating on the cohort study.</li><br>
<p></p>
</ul><div>
<br>
<b>JOB</b><b> </b><b>REQUIREMENTS</b><b>:</b>
</div><div>To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div><ul>
<li>Experience in utilizing advanced statistical and machine learning techniques and interpreting findings to identify new Alzheimer&rsquo;s Disease and related dementias (ADRD) research directions.</li>
<li>Ability to develop and lead a program of independent federally funded research including a record of leadership of, or contributions to, major successful peer-reviewed grant proposals appropriate to the applicant&rsquo;s academic rank.</li>
<li>Candidate must possess good understanding of informatics infrastructures to support highly innovative research within high performance computing (HPC), cloud computing, and secure computing environments.</li>
<li>Experience in cross platform and user friendly applications development to support high volume heterogeneous data processing, structures, integration, analysis, management, and sharing.</li>
<li>Knowledge in learning healthcare systems and expertise in clinical data extraction, transfer, loading, and de-identification.</li>
<li>Academic credentials that qualify for appointment as an Associate Professor or Professor at Rutgers University including a record of successful extramural funding and peer-reviewed publications addressing Alzheimer&rsquo;s disease and related disorders. Superb young investigators with NIH funding and a high potential for scientific independence and success will be considered.</li>
<li>Record of successful multi-disciplinary collaboration and mentorship of students and early-stage investigators.</li>
<li>Strong interest and enthusiasm in helping achieve successful implementation of the new cohort and contributing to cutting-edge science.</li>
<li>Excellent written and oral communication skills and the ability to communicate research findings and concepts to both academic and non-academic audiences.</li>
</ul></div>
</div><br>
<div><div><b>Preferred Qualifications</b></div>
</div><br>
<div></div><div><div><b>Equipment Utilized</b></div>
</div><br>
<div></div><div><div><b>Physical Demands and Work Environment</b></div>
<div><div><b>PHYSICAL</b><b> </b><b>DEMANDS</b><b>: </b>No significant physical demands.</div><div></div><div><b><br>
WORK</b><b> </b><b>ENVIRONMENT</b><b>:</b></div><div>
No significant exposures or noise levels. Office /Laboratory/Clinical environment.</div></div>
</div><br>
<div><div><b>Overview</b></div>
</div><br>
<div></div><div><div><b>Statement</b></div>
<div>Applicants representing diverse backgrounds of all sorts are encouraged to apply. Rutgers University is committed to diversity, equity and inclusion. The AD center is actively working to ensure that our faculty composition reflects diversity. We especially welcome applications from backgrounds underrepresented in STEM (including women, Black, Latinx, Indigenous and LGBTQ+ scientists).</div>
</div><br>
</div></div></div><div><div>Posting Details
</div><p></p><div><div><div><div><b>Special Instructions to Applicants</b></div>
<div>To become a part of our vibrant research community, applicants should submit a CV and brief statement of research accomplishments and plans and other information to Dr. Michal Beeri at <b>bhi@bhi.rutgers.edu</b>
</div>
</div><br>
<div><div><b>Quick Link to Posting</b></div> <div>https://jobs.rutgers.edu/postings/222770</div>
</div><br>
<div><div><b>Campus</b></div> <div>Rutgers Biomedical and Health Sciences (RBHS)</div>
</div><br>
<div><div><b>Home Location Campus</b></div> <div>Piscataway (RBHS)</div>
</div><br>
<div><div><b>City</b></div> <div>Piscataway</div>
</div><br>
<div><div><b>State</b></div> <div>NJ</div>
</div><br>
<div><div><b>Location Details</b></div>
</div><br>
</div></div></div><div></div><div><div>Pre-employment Screenings
<p></p><div>All offers of employment are contingent upon successful completion of all pre-employment screenings.</div><p></p>
</div></div><div></div><div><div>Immunization Requirements
<p>Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate&rsquo;s offer of employment or disciplinary action up to and including termination.</p>
</div></div><div></div><div><div>Equal Employment Opportunity Statement
<p></p><div>It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
</div>
</div></div></div></div><p></p><h2 class="jobSectionHeader"><b>Posting Specific Questions</b></h2>
<div><p>Required fields are indicated with an asterisk (*).</p>
<p>
</p></div><h2 class="jobSectionHeader"><b>Applicant Documents</b></h2>
<div><b>Required Documents</b>
<div><ul><li>Cover Letter/Letter of Application
</li></ul><ul><li>Curriculum Vitae</li></ul>
<ul><li>List of Professional References (contact Info)</li></ul>
<ul><li>Research Statement</li></ul>
<ul><li>Diversity Statement</li></ul>
</div><b>Optional Documents</b></div></div><p></p>

Open Rank Associate Professor/Professor in Data Science

SISTec (Sagar Institute of Science & Technology)

<p>Job Title</p><p><b>Associate Professor / Professor &ndash; Electronics and Communication Engineering</b></p><p>Department</p><p>Electronics and Communication Engineering (ECE)</p><p>Reports To</p><p>Head of the Department</p><p>Job Summary</p><p>The Associate Professor / Professor in the Department of Electronics and Communication Engineering is responsible for delivering high-quality teaching, conducting impactful research, guiding students, and contributing to academic leadership and institutional development. The role involves curriculum development, research supervision, industry collaboration, and active participation in departmental and university activities.</p><p>Key Responsibilities</p><ul><li>Teaching &amp; Academic Duties</li><li>Teach undergraduate and postgraduate courses in Electronics and Communication Engineering.</li><li>Develop, update, and deliver course content in alignment with curriculum and accreditation standards.</li><li>Employ innovative teaching methodologies and modern educational tools.</li><li>Evaluate student performance through examinations, assignments, and project assessments.</li><li>Mentor and advise undergraduate and postgraduate students on academic and career matters.</li></ul><p>Research &amp; Scholarly Activities</p><ul><li>Conduct independent and collaborative research in core and emerging areas of ECE.</li><li>Publish research papers in reputed peer-reviewed journals and conferences.</li><li>Supervise PhD, M.Tech/M.E., and B.Tech projects and research scholars.</li><li>Secure funded research projects from government, industry, or international agencies.</li><li>Contribute to patents, technology transfer, and consultancy activities where applicable.</li></ul><p>Institutional &amp; Administrative Responsibilities</p><ul><li>Participate in curriculum design, academic planning, and quality assurance activities.</li><li>Serve on departmental, faculty, and university-level committees.</li><li>Contribute to accreditation processes (NBA, NAAC, ABET, etc.).</li><li>Support departmental administration and academic governance.</li><li>Organize workshops, seminars, FDPs, conferences, and outreach programs.</li></ul><p>Industry &amp; Community Engagement</p><ul><li>Foster collaborations with industry, research organizations, and academic institutions.</li><li>Encourage industry-oriented projects, internships, and skill development initiatives.</li><li>Engage in professional bodies such as IEEE, IETE, IEI, etc.</li></ul><p>Area of Specialization (Preferred)</p><ul><li>VLSI Design / Embedded Systems</li></ul><p>Qualifications</p><p>For Associate Professor</p><ul><li>PhD in Electronics and Communication Engineering or a closely related discipline.</li><li>Master&rsquo;s degree (M.Tech/M.E.) in ECE with a strong academic record.</li><li>Minimum <b>8 years</b> of teaching/research/industry experience, including <b>2 years post-PhD</b> (as per regulatory norms).</li><li>Publications in reputed journals and conferences.</li></ul><p>For Professor</p><ul><li>PhD in Electronics and Communication Engineering or a closely related discipline.</li><li>Master&rsquo;s degree (M.Tech/M.E.) in ECE with an excellent academic record.</li><li>Minimum <b>10&ndash;15 years</b> of teaching/research/industry experience, including <b>significant post-PhD experience</b>.</li><li>Strong research profile with high-quality publications, funded projects, and PhD supervision.</li><li>Proven academic leadership and administrative experience (preferred).</li></ul><p>Skills &amp; Competencies</p><ul><li>Strong subject knowledge and research aptitude.</li><li>Excellent communication and presentation skills.</li><li>Ability to mentor students and junior faculty.</li><li>Leadership, teamwork, and academic integrity.</li><li>Familiarity with outcome-based education (OBE) and accreditation frameworks.</li></ul><p>Employment Type</p><p>Full-time</p><p>Pay Scale</p><p>As per AICTE norms</p><p>Job Types: Full-time, Permanent</p><p>Pay: ₹40,000.00 - ₹70,000.00 per month</p><p>Benefits:</p><ul><li>Leave encashment</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Associate Professor or Professor - Electronics & Communication Engineering Department

Abu Dhabi University

<div>
 <strong>
  Multiple positions for Assistant Professor in Computer Engineering
  <br/>
  <br/>
 </strong>
 <strong>
  Academic Year 2024-2025
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 </strong>
 <strong>
  Work Place type: On Site - (On Campus)
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  <br/>
 </strong>
 Abu Dhabi University (ADU) is a private, multi-campus university dedicated to meeting the educational opportunities needs of the United Arab Emirates and neighboring countries. The University is committed to offering challenging educational programs to all admitted students and program participants seeking a superior education regardless of race, religion, color, gender, disability, or national origin. ADU promotes collegial, efficient, and effective management practices and is internationally accredited by the WASC Senior College and University Commission (WSCUC) in the USA. The university seeks and capitalizes upon opportunities to cooperate with peer institutions worldwide and applies state-of-the-art learning technologies in modern facilities.
 <br/>
 <br/>
 The College of Engineering (CoE) at Abu Dhabi University is inviting applications for faculty appointments in Computer Engineering for the Spring of the Academic Year 2024-2025. The College has rapidly expanded its programs, faculty, and student body, becoming the largest private engineering college in the Emirate of Abu Dhabi, with over 2800 students. With a diverse range of undergraduate and postgraduate programs designed according to international standards, the College offers the country's largest and most varied selection of engineering programs. Our curriculum reflects the best practices of leading universities worldwide, with several programs already receiving or expecting ABET accreditation. We boast a faculty composed of experts selected from prestigious engineering schools across North America and Europe, and our state-of-the-art laboratory facilities provide an exceptional environment for student learning. The College has garnered significant distinctions and awards nationally and internationally and engages in research collaboration with esteemed international universities through two Centers of Excellence. We are committed to equipping our students with the values, knowledge, and skills necessary to excel in today's competitive market.
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 <strong>
  Assistant Professor In Computer Engineering - Al Ain Campus
  <br/>
  <br/>
 </strong>
 Appointments at the level of Assistant Professor are available and will be decided based on qualifications and relevant experience. Applicants specializing in the following areas are encouraged to apply:
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 <ul>
  <li>
   Digital Design, Computer Architecture, and Embdded Systems
  </li>
  <li>
   Edge AI, the IoT, and EmbeddedSecurity
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Assistant Professor In Computer Engineering - Abu Dhabi Campus
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  <br/>
 </strong>
 <ul>
  <li>
   Circuits and Systems, Signal Processing, Machine Learning
  </li>
  <li>
   Computer vision and Robotics
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   <br/>
  </li>
 </ul>
 <strong>
  Faculty Role
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 </strong>
 Faculty members report to the Department Chair and Dean and actively contribute to the university's growth and development. Responsibilities include teaching undergraduate and/or postgraduate courses, engaging in research activities, and participating in university service.
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 <strong>
  Qualifications And Requirements
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  <br/>
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 An earned doctorate from an accredited institution in Computer Engineering or a related field focusing on Computer Engineering from a top 200 university in QS ranking.
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 A proven record of outstanding research achievements in quality and impact.
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 Previous experience in university teaching at the undergraduate and graduate levels is desirable.
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 Demonstrated ability to collaborate with individuals from diverse backgrounds.
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 Excellent communication skills, a commitment to scholarship and diversity, an entrepreneurial spirit, and an understanding of the university's role in economic development.
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 Familiarity with modern teaching methodologies and visual communication techniques and the importance of equipping students with the diverse skills needed for success in a rapidly evolving technological landscape.
</div>


Assistant Professor in Computer Engineering

University of Wollongong in Dubai

<div>
 <p>
  <strong>
   About UOWD
  </strong>
 </p>
 <p>
  Established in 1951 and ranked in the top 1% of universities worldwide*, Australia&rsquo;s University of Wollongong is a global brand with international campuses in Dubai, Hong Kong and Malaysia.
 </p>
 <p>
  University of Wollongong Dubai (UOWD) offers over 40 internationally recognised bachelor and master degrees spanning 10 in-demand industry sectors. All of our degree courses are accredited by the UAE Ministry of Education&rsquo;s Commission for Academic Accreditation (CAA) and licensed by Dubai&rsquo;s Knowledge and Human Development Authority (KHDA), as well as being recognised by leading professional organisations such as AACSB, ACCA, ACS, CIM, CIPD, CPA, Engineers Australia, PMI, and others.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The first internationally accredited Australian university in the UAE, we are the education gateway of choice for over 3,500 students, representing 100+ nationalities. Our global community of 152,000 alumni are pursuing career goals with respected blue-chip companies and industry giants such as 3M, ADCB, Adidas, Amazon, Deloitte, Emirates, FedEx, GE, IBM, Microsoft and Pepsico. Additionally, research reveals that 83%** of fresh graduates are employed within six months of graduation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Life at UOWD is rooted in the continued pursuit of excellence through teaching, research and industry engagement, with the student experience at its heart. Our 200,000-square-foot campus at Dubai Knowledge Park features access to cutting-edge technologies and a mix of traditional and innovative learning spaces, all housed in a vibrant modern setting that promises to deliver an enriched learning experience for our students.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   *QS World University Rankings 2023
  </em>
 </p>
 <p>
  <em>
   **Data from the Graduate Destination Survey 2017 to 2020
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the School
  </strong>
 </p>
 <p>
  The School of Computer Science, at the University of Wollongong in Dubai, seeks to appoint for the January 2026 semester a dynamic and talented academic with expertise in one or many of the following areas: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, Computer Vision.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The School of Computer Science aims at producing innovative, well-rounded, hands-on professionals that are well versed in technological and computing concepts and skills. The school offers 7 programs under the umbrella of computer science and IT. Those programs are designed to be practical and focused on industry needed skills in popular areas of computer science and IT, including: Software development, Cyber Security, Big data and AI, Gaming and mobile development, Business information systems, IT management, and digital transformation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements &amp; Responsibilities
  </strong>
 </p>
 <p>
  We are seeking an experienced academic in the area of AI and Big Data having a PhD in the related field, from a recognized university.
  <strong>
   The position is offered at the Assistant Professor level
  </strong>
  , according to experience and qualification. It is a full-time position that requires the holder to contribute to the School&rsquo;s teaching, research and governance activities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The applicant is expected to have teaching experience in AI and Big Data related topics including: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Machine learning models, generative AI and general adversarial networks (GANs), Natural language processing, Computer Vision, as well as core computer science subjects such as programming, database management, web technologies, and networking at a recognized higher education institution, along with a record of scholarly research and high-quality publications in the relevant field. Industry experience or evidence of industry-academic collaborations would also be beneficial.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The post-holder will also be expected to supervise final year graduation projects, MSc projects and PhD Thesis. He/She will be expected to fully engage in scholarly and research activities within the thriving engineering team to produce high-impact research and deliver research-informed undergraduate and Master&rsquo;s level teaching. The applicant is expected to have an experience of involvement in collaborative research with external organizations, and have a strong track record for the dissemination of knowledge through recent publications in high impact international journals and international conferences.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Faculty member, you will have an excellent research track record and will be required to demonstrate research leadership from the outset. You will be expected to raise the profile of the Faculty through external networking, and producing high impact, high profile publications. In addition, you will be expected to seek to gain your own research funding to develop/expand your role within the university.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <p>
  To qualify for the above role, candidate must have the following qualifications and experience
 </p>
 <p>
  &bull; PhD. in Computer Science/AI and Big Data with thesis in AL and Machine Learning from a recognized international academic institution
 </p>
 <p>
  &bull; At least 4 years of teaching experience at an internationally recognized institution in area related to Computer Science, AI, Data Analytics.
 </p>
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  &bull; Working knowledge of techniques and tools for: Big Data Management, Big Data Mining Techniques and Implementation, Foundations of Artificial Intelligence, Modern Artificial Intelligence, Computer vision and applications, Data Mining, Database performance tuning, GANs, Generative AI, and Natural language processing.
 </p>
 <p>
  &bull; Industry experience related to Advanced AI, Machine Learning and Smart systems is a plus
 </p>
 <p>
  &bull; An active researcher in the field (or related field) with publications in recognized international journals and indexed in Scopus and Web of Science
 </p>
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  &bull; Fluency in the English language (both spoken and written)
 </p>
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  &bull; Excellent communication skills
 </p>
 <p>
  <br/>
 </p>
 <p>
  <u>
   Preferred Qualifications
  </u>
 </p>
 <p>
  &bull; Documented experience in the application of Artificial Intelligence, Machine Learning, and Big Data Analysis to modern information systems problems
 </p>
 <p>
  &bull; Ability to teach and conduct research about the latest AI and Big Data Analysis techniques and strategies as well as the project skills to apply this knowledge in the real world
 </p>
 <p>
  &bull; Ability to teach and conduct research about the latest computer science topics to design, implement and test AI based solutions for solving complex problems.
 </p>
 <p>
  &bull; Working knowledge of Relational and Cloud databases
 </p>
 <p>
  &bull; Experience with Hadoop, HBase, Spark and other Big data management technologies
 </p>
 <p>
  &bull; Experience with AI and Machine learning models, and related libraries and platforms (e.g. TensorFlow, Keras, caffe, PyTorch, Theano, OpenCV, OpenAI, Gemini).
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Compensation &amp; Benefits
  </strong>
 </p>
 <p>
  The successful candidate will enjoy interaction with a professional and dynamic team of highly respected educators from over 50 different countries and exposure to students from over 100 nationalities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The University offers an expatriate package, which is an attractive tax-free salary. The expatriate package includes six weeks of paid leave per year, annual flight allowance and private medical insurance for the employee and eligible dependents, life and disability insurance, and education allowance for dependents. The University is located in Knowledge Park, Dubai and has excellent teaching, learning and research facilities as well as access to Library resources that meets international standards.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   UOWD is an equal opportunity employer that attracts, develops, motivates, empowers, and retains a diverse workforce.
  </em>
 </p>
</div>


Assistant Professor - Computer Science (AI & Big Data)

MY University

<p>PhD in Computer Science (Cyber Security/AI/Software) from HEC recognized University/Institution.</p><p>Job Type: Full-time</p><p>Education:</p><ul><li>Doctorate (Required)</li></ul><p>Experience:</p><ul><li>Teaching: 1 year (Preferred)</li></ul><p>Work Location: In person</p>

Assistant Professor- Computer Science

NUST

<div></div><p><div><div><div><div><div><div><div><div>Last Date: Sunday, January 11, 2026<br>
</div></div><br>
</div></div></div></div><br>
<div></div><div><div><div><div><div><div>Job Detail<br>
</div></div><br>
</div></div></div></div><br>
<div></div><div><div><div><div><div><div>Job Ref #: </div><div>Job/5992/12/31/2025
 </div></div><br>
<div><div>Age Limit: </div><div>25<li></li>55
</div></div><br>
<div><div>Experience:
</div></div><br>
<div></div><div><div>Posted Date: </div><div>Wednesday, December 31, 2025
</div></div><br>
<div><div>Salary: </div><div>Market Compatative<br>
</div></div><br>
<div></div><br>
<br>
<br>
<div><div><div><div><div><div><div><b>Job Description:
</b></div></div><br>
<div><div><div><b>Qualifications:</b></div><div><br>
</div><div>PhD in below mentioned field from an HEC recognized Institution.</div><div><br>
</div><div><b>Discipline:</b></div><div><br>
</div><div><b>Computer Science</b></div>
<div> Specialization in:</div>
<div> - Artificial Intelligence</div>
<div> - Computer Networks</div>
<div> - HCI &amp; Computer Graphics</div>
<div> - Operating Systems</div>
<div> - Compiler Constructions</div>
<div> - AR / VR / Game Theory</div>
<div> - Quantum Computing</div><div><br>
</div><div><b>Publications &amp; Experience:</b></div><div><br>
</div><div>The candidate must have the Publications and Experience as per HEC criteria for Faculty appointments.</div><div><br>
</div><div><b>Terms &amp; Conditions:</b></div><div><br>
</div><ul><li>Candidates are required to attach scanned copies of their documents (Academics / Professional).</li></ul>
<ul><li>Last education certificate/degree must be attested/verified by HEC.</li></ul><div><br>
</div> <div>Candidates may be considered ineligible for the post due to any of the following reasons:</div><div><br>
</div><ul><li>3rd Div in academic career / weak academic profile.</li></ul>
<ul><li>NUST employees with less than one year of service with NUST and / or absence of NOC from Head of Institution.</li></ul>
<ul><li>In process of pursuing a required degree.</li></ul>
<ul><li>Medically unfit.</li></ul>
<ul><li>Only selected candidates will be contacted and issued offer letter.</li></ul>
<ul><li>Candidates serving in Govt departments, Armed forces may apply through their respective parent department / organizations. Late / incomplete applications will be ignored. Only short-listed candidates will be considered / called for test / interview and no TA / DA will be admissible.</li></ul>
<ul><li>NUST reserves the right to cancel, modify / terminate the recruitment programme due to any reason, without notice, at any time.</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></p>

Assistant Professor - Computer Science - SEECS

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