computer science professor

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)

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>
 <p>
  &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>
 <p>
  &bull; Fluency in the English language (both spoken and written)
 </p>
 <p>
  &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

Harvard University

<div></div><div><div><div><div><div><div><b>December 23, 2025
</b></div></div><div><div><div><b>002061SR</b></div></div></div></div></div></div></div><p></p>
<br><div><div><div><p>Company Description</p><p><br>
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.</p><p><b>
Why join the Harvard Kennedy School?</b></p><p>
The John F. Kennedy School of Government at Harvard University is one of 12 graduate and professional schools at the university. Harvard Kennedy School&rsquo;s mission is to improve public policy and leadership so people can live in societies that are more safe, free, just, and sustainably prosperous. By combining cutting-edge research, the teaching of outstanding students, and direct interaction with practitioners, we have an impact on solving public problems that no other institution can match. When you work at Harvard Kennedy School, you make a difference.</p><p><br>
Job Description</p><p><br>
Professor Goel&rsquo;s Computational Policy Lab at the Shorenstein Center at Harvard Kennedy School is seeking a Software Engineer with specialized expertise in software development, generative AI, and data science. This position is housed within the Shorenstein Center on Media, Politics and Public Policy. Through teaching and research at the Kennedy School of Government and its program of visiting fellows, conferences and initiatives, the Center is at the forefront of its area of inquiry.</p><p><b>
Application Requirements</b></p><ul><li><b>
Applications must include the following, or they will be considered incomplete:</b><ul><li>
Resume</li><li>
Cover letter including:<ul><li>
A link to a piece of code on GitHub that you wrote, ideally something that demonstrates your technical skills and you&rsquo;d enjoy walking us through if you were selected for an interview.</li><li>
A short description of the project you linked to.</li><li>
Confirmation that you are legally authorized to work in the United States without sponsorship for at least two years.</li></ul></li></ul></li></ul><p><b>
Duties and Responsibilities:</b></p><p>
Core responsibilities encompass specialized tasks including:</p><ul><li>
Independently perform complex applications/web development for projects of large to very large size and complexity</li><li>
Design and develop complex software systems for large-scale research projects, with a focus on education technology and generative AI-based tools.</li><li>
Leverage recent breakthroughs in machine learning and natural language processing to build, test, and deploy advanced algorithmic tools that underpin rigorous empirical research in real-world environments.</li><li>
Lead and collaborate on technically challenging projects involving AI, machine learning, natural language processing, and large-scale experimentation.</li><li>
Contribute to the design and execution of randomized controlled trials and other empirical methods used to evaluate the impact of AI-driven interventions.</li><li>
Collaborate closely with other researchers to translate theoretical models and experimental designs into high-performance, production-ready systems.</li><li>
Co-author or contribute to academic publications and technical reports intended for peer-reviewed journals, conference proceedings, and lay audiences.</li><li>
Stay abreast of emerging technologies and research developments related to AI, computational social science, and causal inference.</li><li>
Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct.</li></ul><p>
Projects you will work on include, but are not limited to:</p><ul><li><b>
AI in Education:</b> We are designing and testing AI-powered technologies that go beyond generic tools like ChatGPT to provide tailored support for student learning. Our flagship tool, PingPong, is currently being evaluated through a large-scale randomized experiment across universities and community colleges nationwide. In addition, we are piloting innovations such as virtual lectures, personalized student diagnostics, and teacher co-pilot tools. This role will help design, implement, and scale these technologies so they can be rigorously tested and used in real classroom settings.</li><li><b>
AI in Public Policy:</b> We are engineering AI systems that improve public service delivery and decision-making. Examples include tools that assist county prosecutors in making unbiased charging decisions, help public defender clients to avoid jail time due to missed court dates, and support adjudicators as they process unemployment insurance claims. In this role, you will work on building robust, production-quality systems that can be deployed in high-stakes government environments where reliability, fairness, and performance are critical.</li></ul><p><br>
Qualifications</p><p><b><br>
Basic Qualifications:
</b></p><ul><li>Minimum of two years&rsquo; post-secondary education or relevant work experience</li></ul><p><br>
<b>
Additional Qualifications and Skills:
</b></p><ul><li>Bachelor's degree and/or relevant work experience in computer science, data science, or a closely related field, with a strong emphasis on advanced software engineering, machine learning, artificial intelligence, and empirical research methodologies.</li><li>
Experience working with generative AI pipelines.</li><li>
Experience deploying software in a cloud environment.</li><li>
Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor.</li><li>
Experience with Python / TypeScript and familiarity with Svelte / React preferred.</li></ul><p><br>
Additional Information</p><ul><li><b><br>
Appointment End Date: This is a fully benefits-eligible term appointment, ending one year from date of hire, with the possibility of renewal.</b></li><li><b>
Visa Sponsorship Information: </b>Harvard University is unable to provide visa sponsorship for this position</li><li><b>
Pre-Employment Screening: </b>Identity, Education</li></ul><p><b>
Important Application instructions:</b></p><ul><li><b>
Applications must include the following, or they will be considered incomplete:</b><ul><li>
Resume</li><li>
Cover letter including:<ul><li>
A link to a piece of code on GitHub that you wrote, ideally something that demonstrates your technical skills and you&rsquo;d enjoy walking us through if you were selected for an interview.</li><li>
A short description of the project you linked to.</li><li>
Confirmation that you are legally authorized to work in the United States without sponsorship for at least two years.</li></ul></li></ul></li></ul><div></div><p><b>
Work Format Details</b></p><p>
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University&rsquo;s Policy on <b>Employment Outside of Massachusetts</b>. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.</p>
<p><b>
Salary Grade and Ranges</b></p><p>
This position is salary grade level 057. Please visit <b>Harvard's Salary Ranges</b> to view the corresponding salary range and related information.</p>
<p><b>
Benefits</b></p><p>
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:</p><ul><li>
Generous paid time off including parental leave</li><li>
Medical, dental, and vision health insurance coverage starting on day one</li><li>
Retirement plans with university contributions</li><li>
Wellbeing and mental health resources</li><li>
Support for families and caregivers</li><li>
Professional development opportunities including tuition assistance and reimbursement</li><li>
Commuter benefits, discounts and campus perks</li></ul><p>
Learn more about these and additional benefits on our <b>Benefits &amp; Wellbeing Page</b>.</p>
<p><b>
EEO/Non-Discrimination Commitment Statement</b></p><p>
Harvard University is committed to <b>equal opportunity</b> and <b>non-discrimination</b>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.</p><p>
Harvard has an <b>equal employment opportunity policy</b> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <b>non-discrimination policy</b>. Harvard's <b>equal employment opportunity policy</b> and <b>non-discrimination policy</b> help all community members participate fully in work and campus life free from harassment and discrimination.</p></div></div></div>

Software Engineer, Computational Policy Lab

School of Data Science and Business Intelligence

<p><b>Job Title:</b></p><p><b>Visiting Faculty &ndash; Blockchain Technology &amp; Data Science</b></p><p><b>Location:</b></p><p><b>Mumbai &ndash; Patkar&ndash;Varde College, Goregaon West</b><br/><i>(SDBI &ndash; School of Data and Business Intelligence)</i></p><p><b>Job Type:</b></p><p><b>Contractual / Temporary | Visiting Faculty</b><br/><b>Mode:</b> In-person</p><p><b>About SDBI</b></p><p><b>SDBI (School of Data and Business Intelligence)</b> is a premier institute focused on <b>Data Science, Business Intelligence, and emerging technologies</b>. Our mission is to bridge the gap between academia and industry by delivering <b>industry-aligned, future-ready education</b> in areas such as <b>Artificial Intelligence, Cloud Computing, and Blockchain Technology</b>.</p><p><b>Role Description</b></p><p>We invite applications for the position of <b>Visiting Faculty &ndash; Blockchain Technology &amp; Data Science</b> at our <b>Mumbai branch located at Patkar&ndash;Varde College, Goregaon West</b>.</p><p>The selected faculty will teach <b>Blockchain fundamentals integrated with Data Science applications</b>, enabling students to understand <b>decentralized systems, smart contracts, and blockchain&rsquo;s role in data security, transparency, and analytics</b>.</p><p><b>Key Responsibilities</b></p><ul><li>Deliver <b>interactive lectures and hands-on practical sessions</b> on Blockchain Technology and Data Science</li><li>Cover topics including:</li><li>Blockchain architecture and consensus mechanisms</li><li>Smart contracts and decentralized applications (DApps)</li><li>Data integration with blockchain systems</li><li>Blockchain use cases in analytics and data security</li><li>Guide students in applying <b>data science techniques</b> such as data cleaning, modeling, and visualization to <b>blockchain datasets</b></li><li>Develop, update, and maintain <b>course content, lab exercises, assignments, and projects</b> aligned with academic and industry standards</li><li>Introduce students to real-world platforms such as <b>Ethereum, Solana, and Hyperledger</b></li><li>Mentor students in <b>project-based learning</b>, especially in blockchain applications across <b>AI, IoT, and Big Data</b></li><li>Stay updated with advancements in <b>Web3, decentralized data systems, and blockchain ecosystems</b></li></ul><p><b>Qualifications &amp; Skills</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in <b>Computer Science, Data Science, IT, or related disciplines</b></li><li>Proven <b>academic or industry experience</b> in Blockchain Technology and Data Science</li><li>Hands-on familiarity with <b>blockchain platforms</b> (Ethereum, Solana, Hyperledger)</li><li>Programming experience in <b>Python, Solidity, R</b> (preferred)</li><li>Knowledge of <b>machine learning and data analytics frameworks</b> is an added advantage</li><li>Prior teaching or corporate training experience preferred</li><li>Excellent communication and presentation skills</li><li>Strong ability to simplify complex technical concepts for students</li></ul><p><b>Experience (Preferred)</b></p><ul><li><b>3+ years</b> in higher education teaching</li><li><b>3+ years</b> of hands-on experience in Blockchain Technology</li></ul><p><b>Why Associate with SDBI?</b></p><ul><li>Teach <b>industry-relevant, future-focused curriculum</b></li><li>Flexible visiting faculty engagement</li><li>Opportunity to mentor students in <b>emerging technologies</b></li><li>Association with a growing academic brand in Data Science and Blockchain</li></ul><p><b>How to Apply - Directly apply here or email your updated resume to:</b> info@sdbi.in<br/><b>with Subject Line:</b> <i>Application &ndash; Visiting Faculty (Blockchain &amp; Data Science)</i></p><p><b>Work Location:</b> In-person (Mumbai &ndash; Patkar&ndash;Varde College, Goregaon West)</p><p>Job Type: Contractual / Temporary</p><p>Pay: ₹20,000.00 - ₹40,000.00 per month</p><p>Experience:</p><ul><li>Higher education teaching: 3 years (Preferred)</li><li>blockchain technology: 3 years (Preferred)</li></ul><p>Work Location: In person</p>

Visiting Faculty – Blockchain Technology & Data Science

National Institute of Technology

<div>
 <p>
  <strong>
   About NIT
  </strong>
 </p>
 <p>
  The
  <strong>
   National Institute of Technology (NIT), Lahore
  </strong>
  , is a federally chartered higher education institution Powered by
  <strong>
   Arizona State University&reg; (ASU)
  </strong>
  ; ranked the most innovative university in the United States for eleven consecutive years by
  <em>
   U.S. News &amp; World Report (2016-2026)
  </em>
  . As part of the
  <strong>
   ASU Cintana Global Alliance
  </strong>
  , NIT offers American-style education, global pathways to obtain an American degree, and a globally benchmarked curriculum designed to nurture critical thinking, innovation, and leadership among Pakistan&rsquo;s next generation of professionals.
 </p>
 <p>
  <br/>
 </p>
 <p>
  NIT seeks dynamic, qualified and experienced faculty for the positions of
  <strong>
   Professor
  </strong>
  ,
  <strong>
   Associate Professor
  </strong>
  ,
  <strong>
   Assistant Professor
  </strong>
  ,
  <strong>
   Lecturer
  </strong>
  and
  <strong>
   Lab Instructor
  </strong>
  in the following schools:
 </p>
 <ul>
  <li>
   School of Data Sciences &amp; Information Technology
  </li>
  <li>
   School of Management Sciences
  </li>
  <li>
   School of Social Sciences
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  The preferred candidate has the ability to work collaboratively in diverse and inclusive academic environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Disciplines:
  </strong>
 </p>
 <p>
  <u>
   School of Data Science and Information Technology:
  </u>
 </p>
 <ul>
  <li>
   Computer Science
  </li>
  <li>
   Data Science
  </li>
  <li>
   Artificial Intelligence
  </li>
  <li>
   Cybersecurity
  </li>
  <li>
   Software Engineering
  </li>
  <li>
   Computer engineering
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <u>
   School of Management Sciences:
  </u>
 </p>
 <ul>
  <li>
   Marketing
  </li>
  <li>
   Accounting
  </li>
  <li>
   Finance
  </li>
  <li>
   Management
  </li>
  <li>
   Supply chain
  </li>
  <li>
   Business Analytics
  </li>
  <li>
   Entrepreneurship
  </li>
  <li>
   Global Management
  </li>
  <li>
   MBA
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <u>
   School of Social Sciences:
  </u>
 </p>
 <ul>
  <li>
   English Composition and Writing
  </li>
  <li>
   Communication
  </li>
  <li>
   Islamic Studies
  </li>
  <li>
   Pakistan Studies
  </li>
  <li>
   Mathematics
  </li>
  <li>
   Economics
  </li>
  <li>
   Political Science
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits:
  </strong>
 </p>
 <p>
  NIT Powered by ASU offers a competitive salary package, negotiable based on qualifications and experience. Employees will also enjoy a defined career path, a contributory provident fund and comprehensive medical insurance coverage for themselves and their families. These benefits are designed to support both professional growth and personal well-being.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   <u>
    Senior Positions (Associate/Full Professor)
   </u>
   : Proven record of teaching &amp; research, ability to secure research funding, leadership in academic program development, and a continued commitment to teaching &amp; excellence.
  </li>
  <li>
   <u>
    Assistant Professor:
   </u>
   PhD (completed or near completion within six months) with experience or strong potential for teaching skills in English, and effective communication abilities.
  </li>
  <li>
   <u>
    Lecturer/Teaching Fellow:
   </u>
   18 years of education with Master&rsquo;s/MPhil degree in relevant discipline.
  </li>
  <li>
   <u>
    Lab Instructor:
   </u>
   16 years of education with bachelor&rsquo;s degree in a relevant discipline.
  </li>
  <li>
   <u>
    Teaching Assistant/Associates:
   </u>
   16/18 years of education with bachelor&rsquo;s/master&rsquo;s degree in a relevant discipline
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Additional Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Experience of working in diverse and multicultural settings.
  </li>
  <li>
   Relevant industry and/or other professional work experience.
  </li>
  <li>
   Alignment with faculty attributes
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Application Process:
  </strong>
 </p>
 <p>
  Interested applicants should submit the following documents and details on the link given below:
 </p>
 <ul>
  <li>
   Updated resume&rsquo;
  </li>
  <li>
   Cover Letter, outlining the interest in the position, research statement and teaching philosophy
  </li>
  <li>
   Contact information of three professional references
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apply Now:
  </strong>
 </p>
 <p>
  https://docs.google.com/forms/d/e/1FAIpQLSd8GZ5USOQ-CYR1FJC_4xxoHWekTSPyEu83C7BtxI9ebbAS2A/viewform?usp=dialog
 </p>
</div>


Professor

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