Positions:
Assistant Professor, Associate Professor & Professor
School / Institute:
MIT School of Artificial Intelligence
Reporting to:
Head of Department / Dean
Location:
MIT ADT University, Vishwaraj Baug, Loni Kalbhor, Pune, Maharashtra – 412201
Position Summary
The MIT School of Artificial Intelligence is looking for academic trailblazers who can bridge the gap between theoretical algorithms and real-world applications. As a faculty member, you will lead the next generation of AI engineers, driving research that pushes the boundaries of machine intelligence and automation.
1. Key Responsibilities
Pedagogy & Lab Innovation
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Project-Based Learning:
Design curriculum that emphasizes "learning by doing," utilizing GPU-accelerated labs and cloud environments.
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Specialized Electives:
Develop advanced modules in niche areas such as LLMs (Large Language Models), AI for Healthcare, or Autonomous Systems.
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Mentorship:
Supervise students in AI hackathons, Kaggle competitions, and deep-tech startups.
Research & Development
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Interdisciplinary Research:
Collaborate across departments (e.g., AI in Bio-Tech or AI in FinTech) to create multi-disciplinary solutions.
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Publications:
Maintain a strong presence in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR) and high-impact journals.
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Consultancy:
Provide AI-driven solutions and consultancy to industry partners and government agencies.
Institutional Growth
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AI Ecosystem:
Contribute to the development of the "AI Center of Excellence" on campus.
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Ethics & Standards:
Integrate ethical AI practices and bias-reduction methodologies into the core academic framework.
2. Mandatory Qualifications
Candidates must meet the required criteria’s as per UGC and AICTE norms:
Assistant Professor Position
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Education: Ph.D. in CSE / AI / Data Science
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Experience: Min. 2 years of teaching or industry R&D
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Academic Record: First Class in B.E./B.Tech & M.E./M.Tech
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Tech Stack: PyTorch/TensorFlow, OpenCV, Scikit-learn
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Research Output: 2+ papers in Scopus/WoS
Associate Professor Position
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Education: Ph.D. in CSE / AI / Data Science
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Experience:
Min. 8-10 years (with focus on AI/ML projects)
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Academic Record: First Class in B.E./B.Tech & M.E./M.Tech
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Tech Stack: Experience in MLOps and Big Data architecture
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Research Output: 6+ papers + Research Grants
Professor Position
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Education: Ph.D. in CSE / AI / Data Science
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Experience:
Min. 10 years (with leadership in AI research)
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Academic Record: First Class in B.E./B.Tech & M.E./M.Tech
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Tech Stack: Expertise in AI Strategy & Global Research Trends
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Research Output: Expertise in AI Strategy & Global Research Trends
3. Desired Competencies
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Mathematical Foundation:
Strong command over Linear Algebra, Probability, Statistics, and Optimization techniques.
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Applied AI:
Proven ability to build, deploy, and scale machine learning models.
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Innovation Mindset:
A track record of filing patents or contributing to Open Source AI projects (e.g., GitHub contributions).
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Communication:
Ability to explain complex algorithmic concepts to diverse audiences.
4. Benefits & Perks
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Research Incentives:
Dedicated funding for high-impact publications and conference travel.
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Environment:
A state-of-the-art campus with advanced specialized labs (AI/Robotics/Cyber).
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Collaborative Culture:
A vibrant ecosystem of researchers, data scientists, and industry veterans.
Application Process
Interested candidates should submit their updated CV to
hr.resume@mituniversity.edu.in
with Subject: Application for Faculty Position at MIT School of Artificial Intelligence