Faculty – School of Technology Computer Science & Engineering (CSE)

Woxsen University

Hyderabad

On-site

INR 1,500,000 - 2,200,000

Full time

8 days ago
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Job summary

Woxsen University invites applications for professors in the School of Technology, in Computer Science & Engineering, at professorial ranks. Candidates should show strong teaching prowess, significant research activity, and a commitment to innovative pedagogy.

The roles span Professor, Associate Professor and Assistant Professor with opportunities for leadership in research, collaboration with industry, and contribution to curriculum development at undergraduate, postgraduate and doctoral levels.

Qualifications

  • PhD in Computer Science, Computer Engineering, Information Technology or a closely related discipline.
  • Strong teaching and research credentials with a sustained publication record.
  • Evidence of doctoral supervision, funded research, industry collaboration or academic leadership.

Responsibilities

  • Design and deliver high-quality undergraduate, postgraduate and doctoral courses.
  • Develop curricula aligned with global developments in computing and technology.
  • Mentor students in research projects and interdisciplinary collaborations.
  • Publish in peer-reviewed journals and conferences.
  • Secure research funding and supervise PhD scholars.

Skills

Artificial Intelligence
Machine Learning
Data Science
Computer Vision
NLP
Robotics
Cybersecurity
Cloud Computing
IoT
Software Engineering
HCI
Blockchain
Quantum Computing
Algorithms
Embedded Systems
AR/VR
Research Leadership

Education

PhD in Computer Science
PhD in Computer Engineering
PhD in Information Technology

Job description

Woxsen University invites applications from accomplished and aspiring academics to join the School of Technology in the area of Computer Science & Engineering (CSE) at the levels of Professor, Associate Professor, and Assistant Professor.

We are looking for faculty who combine strong academic credentials, research ambition, technological expertise, and a commitment to innovative teaching. Candidates with established research profiles as well as high-potential early-career scholars are encouraged to apply.

Areas of Specialisation

Applications are particularly welcome in, but are not limited to:

  • Artificial Intelligence & Machine Learning
  • Data Science & Big Data Analytics
  • Computer Vision & Image Processing
  • Natural Language Processing
  • Robotics & Autonomous Systems
  • Cybersecurity & Information Security
  • Cloud Computing & Distributed Systems
  • Internet of Things & Edge Computing
  • Software Engineering & DevOps
  • Computer Networks
  • Database Systems
  • Human–Computer Interaction
  • Blockchain & Web3 Technologies
  • Quantum Computing
  • High-Performance Computing
  • Algorithms & Theoretical Computer Science
  • Embedded Systems
  • AR/VR & Extended Reality
  • Computational Science
  • Responsible AI, AI Safety & AI Governance
  • Other emerging areas of Computer Science and Technology
Key Responsibilities
Teaching & Learning
  • Design and deliver high-quality undergraduate, postgraduate and doctoral courses.
  • Develop contemporary curricula aligned with global developments in computing and technology.
  • Employ experiential, project-based and technology-enabled pedagogies.
  • Mentor students in academic, technical, research and innovation projects.
  • Contribute to interdisciplinary teaching across the University.
  • Develop an independent and internationally visible research programme.
  • Publish research in high-quality peer-reviewed journals and conferences.
  • Secure competitive research grants and industry-funded projects.
  • Supervise PhD scholars and postgraduate research.
  • Build collaborations with leading global universities, research institutions and industry.
  • Translate research into patents, technology transfer, prototypes, products, policy impact and other forms of societal/industrial impact where appropriate.
Industry & Global Engagement
  • Develop partnerships with technology companies, startups, research laboratories and professional bodies.
  • Contribute to industry-sponsored projects, consulting and executive education.
  • Support international collaborations, joint research and academic exchange.
  • Participate in conferences, workshops and other global academic and professional forums.
Academic & Institutional Contribution
  • Contribute to programme development, accreditation and quality assurance.
  • Participate in school and university committees and academic initiatives.
  • Support student recruitment, mentoring and institutional engagement.
  • Contribute to the development of research centres, laboratories, innovation ecosystems and interdisciplinary initiatives.
Candidate Profile
Professor

Candidates should demonstrate:

  • PhD in Computer Science, Computer Engineering, Information Technology or a closely related discipline from a reputed institution.
  • Strong academic and research record with sustained publication in high-quality journals/conferences.
  • Evidence of research leadership and an independent research agenda.
  • Successful PhD supervision and/or research project leadership.
  • Demonstrated ability to attract research funding and develop academic/industry collaborations.
  • Strong teaching and academic leadership experience.
Associate Professor

Candidates should demonstrate:

  • PhD in a relevant discipline from a reputed institution.
  • Strong teaching and research experience.
  • Consistent publication record in reputed international journals/conferences.
  • Evidence of doctoral supervision, funded research, industry collaboration or academic leadership.
  • A clearly defined and developing independent research agenda.

Candidates should demonstrate:

  • PhD or near-completion of PhD in Computer Science, Computer Engineering, Information Technology or a related discipline.
  • Strong academic credentials and demonstrated research potential.
  • Publications in reputed peer-reviewed journals/conferences are highly desirable.
  • Ability to teach contemporary CSE courses and mentor student projects.
  • Evidence of potential to develop an independent research programme.
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