Assistant Professor Associate Professor Artificial Intelligence


Savanna HR


Academic Research


3 months ago

1-4 Yrs


Ahmedabad


Description

Faculty Positions – Artificial Intelligence

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About the Opportunity

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A leading academic institution is inviting applications from outstanding scholars, researchers, and professionals for faculty positions in Artificial Intelligence.

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The institution is looking for candidates with the vision, academic excellence, commitment, and ambition to contribute to a leading centre for translational Artificial Intelligence, where cutting-edge research is applied to real-world challenges across business, management, public policy, governance, institutions, and society.

Positions Available

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\* Assistant Professor

\* Associate Professor

\* Professor

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The position and academic level will be determined based on the candidate’s qualifications, research credentials, teaching experience, publications, and overall academic contribution.

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## Key Responsibilities

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\* Conduct high-quality, original, and impactful research in Artificial Intelligence and related interdisciplinary domains.

\* Publish research in reputed peer-reviewed journals and leading international conferences.

\* Teach undergraduate, postgraduate, doctoral, executive education, or management programmes.

\* Design and deliver courses related to Artificial Intelligence, Machine Learning, Data Science, Analytics, and their applications.

\* Guide doctoral scholars, research associates, and student research projects.

\* Develop interdisciplinary research projects addressing real-world business, institutional, policy, and societal challenges.

\* Collaborate with faculty members, industry leaders, government bodies, policymakers, and research institutions.

\* Contribute to research centres, academic programmes, seminars, conferences, workshops, and institution-building initiatives.

\* Support the development of funded research proposals, consulting projects, case studies, and policy papers.

\* Participate in academic administration and other institutional responsibilities.

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## Areas of Specialisation

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Applications are invited from candidates working in one or more of the following areas:

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\* Artificial Intelligence and Machine Learning

\* Generative AI and Large Language Models

\* Data Science and Business Analytics

\* Natural Language Processing

\* Computer Vision

\* Operations Research and Optimisation

\* Human–AI Interaction

\* Autonomous and Intelligent Systems

\* Responsible, Ethical, and Explainable AI

\* Digital Platforms and Intelligent Systems

\* Computational Social Science

\* Public Systems and Governance

\* Agriculture and Rural Development

\* Healthcare and Wellbeing

\* Education and Learning Technologies

\* Fintech and Risk Analytics

\* Supply Chain and Logistics

\* Law and Public Safety

\* Business, Management, and Decision Sciences

\* Other interdisciplinary applications of Artificial Intelligence

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## Qualification

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\* PhD or equivalent doctoral qualification from a recognised institution in Artificial Intelligence, Computer Science, Data Science, Engineering, Management, Economics, Public Policy, Operations Research, Information Systems, or a related discipline.

\* The PhD specialisation should be relevant to the candidate’s proposed teaching and research area.

\* Candidates nearing completion of their PhD may be considered for entry-level faculty positions, subject to institutional guidelines.

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## Experience Requirements

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### Assistant Professor

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\* Strong academic and research credentials.

\* Demonstrated potential for publishing in reputed journals and conferences.

\* Ability to independently develop and execute research projects.

\* Teaching, doctoral research, or postdoctoral experience will be preferred.

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### Associate Professor

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\* Significant teaching and research experience in a recognised academic institution.

\* Strong publication record in reputed peer-reviewed journals and conferences.

\* Experience in doctoral supervision, funded research, academic programme development, or interdisciplinary collaboration.

\* Evidence of academic leadership and institutional contribution.

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### Professor

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\* Distinguished academic and research record.

\* Substantial teaching, research, doctoral supervision, and academic leadership experience.

\* Strong record of publications, funded research, institution-building, industry engagement, or policy contribution.

\* Ability to lead research centres, academic programmes, interdisciplinary initiatives, and external collaborations.

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## Preferred Candidate Profile

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The ideal candidate should demonstrate:

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\* Commitment to academic excellence and high-quality research.

\* Strong potential to produce globally relevant and locally impactful knowledge.

\* Interest in translational and interdisciplinary applications of AI.

\* Ability to connect technology research with business, management, governance, policy, and societal challenges.

\* Strong teaching, communication, mentoring, and collaboration skills.

\* Ability to engage with industry, government, social-sector organisations, and international academic networks.

\* Commitment to responsible, ethical, inclusive, and human-centred AI.

\* Willingness to contribute to the long-term development of the institution.

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## Application Requirements

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Interested candidates may submit:

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\* Updated curriculum vitae

\* Cover letter

\* Research statement

\* Teaching statement

\* Details of publications and ongoing research

\* Copies or links to selected research papers

\* Details of courses taught

\* Names and contact details of academic or professional referees

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## Employment Details

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\* \*\*Employment Type:\*\* Full-time

\* \*\*Work Mode:\*\* On-campus

\* \*\*Faculty Level:\*\* Assistant Professor, Associate Professor, or Professor

\* \*\*Compensation:\*\* As per institutional norms and commensurate with qualifications, experience, research credentials, and academic standing

\* \*\*Location:\*\* Gujarat

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The institution is committed to equal opportunity, diversity, and inclusion. Applications from women, international scholars, and candidates from diverse and underrepresented backgrounds are strongly encouraged.

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