College Name: Vignan’s Foundation for Science, Technology & Research (VFSTR).
College Profile: Deemed to be University, Vadlamudi, Guntur(dt.)-522213
Teaching Positions:
Professors/Associate Professor/Assistant Professors/Teaching Assistants & Professor of Practice in Computer Science & Engineering (AI & ML,CS,CSBS and Data Science), Information Technology (IT),ECE, Agricultural and Horticultural Sciences (Livestock and Poultry Management & Plant Pathology), Mathematics and Statistics
- Ph.D. from reputed institutions preferable.
- Candidates who have submitted their Ph.D. thesis and awaiting viva may also apply.
- Experience in teaching in Higher Technical Institutions desirable.
- Candidates who are pursuing Ph.D. will be considered for Contractual Assistant Professor only.
- Candidates with PG Qualification will be considered for Teaching cum Research Assistantship (TRA) / Exclusive Research Assistantship (ERA).
- Experienced Professionals and Industry Experts preferred for Professors of Practice
- Candidates with Ph.D. in Electronics/Mathematics/
Statistics and having proven ability / experience to teach subjects of Computer Science may also apply - For Agricultural and Horticultural Sciences Livestock and Poultry Management: B.V.Sc. and M.V. Sc. (in any subject of Animal Sciences) & Plant Pathology: B.Sc. (Ag.), M.Sc. (Ag.) or Ph.D. in Plant Pathology
Salary:
- As per UGC VII Pay Scale. Higher Start for deserving & experienced candidates.
- Negotiable and will not be a constraint for deserving candidates.
How to apply: Interested candidates may forward their resume mentioning “the post applied for” to [email protected] on or before 17.04.2023 (Monday).
Contact: 8500444991. For more details, visit website: www.vignan.ac.in
Disclaimer: The information provided in this job post is published for informational purposes only. Candidates are advised to verify all details directly from the official website or notification of the respective institution before applying. Facultyplus.com is not responsible for any changes, errors, or recruitment-related decisions made by the organization.

