Takshashila University

Key Responsibilities

• Lead end-to-end recruitment for faculty and staff positions, ensuring compliance with university policies and statutory requirements.
• Oversee employee background verification, onboarding, and induction processes.
• Draft, review, and update HR policies, procedures, and documentation.
• Manage employee relations, grievance handling, and disciplinary procedures.
• Coordinate with external vendors/agencies for HR services.
• Support performance management, training, and professional development initiatives.
• Ensure accurate HR data management, reporting, and compliance with labor laws.

Qualifications & Skills

• Master’s degree in HR Management or related field.
• 8–10 years of progressive HR experience, preferably in higher education.
• Strong knowledge of labor laws, compliance, and university HR practices.
• Excellent communication, negotiation, and leadership skills.
• Proficiency in HRIS, MS Office, and data analysis.

• Supervise day-to-day site activities, contractors, and workers.
• Ensure adherence to design specifications, safety regulations, and quality standards.
• Coordinate with architects, consultants, and university administration.
• Monitor project progress, prepare reports, and resolve technical issues.
• Manage materials, equipment, and site documentation.

Position: Assistant Professor – Computer Science & Engineering

Qualification: Ph.D. (or pursuing) in Computer Science/Engineering from a recognized institution. Candidates with strong academic/industry background may also be considered.

Key Responsibilities

• Teaching: Deliver lectures, tutorials, and labs at UG/PG levels in core CSE subjects (e.g., Algorithms, Data Structures, AI, Cloud Computing, Full Stack Development).
• Research: Conduct independent and collaborative research; publish in reputed journals/conferences.
• Curriculum Development: Design and update course content aligned with industry and academic standards.
• Student Mentorship: Guide students in projects, internships, and career development.
• Academic Administration: Participate in examinations, evaluations, and departmental activities.
• Industry & Outreach: Build collaborations with industry, contribute to consultancy, training, and placements.

Desired Skills

• Expertise in programming languages (Java, Python, C++), data analytics, AI/ML, cloud computing, or related domains.
• Strong communication and mentoring abilities.
• Commitment to academic excellence and institutional growth.

Mentor Interns

Own Production

AI/ML based development 

Full stack developer 

with react.js 

node.js 

Python with flex or Django 

RESTful service 

Database 

Docker 

CI/CD

AWS