Assistant Professor

JK Lakshmipat University, Jaipur

Jaipur

In loco

INR 700.000 - 1.100.000

Tempo pieno

19 ore fa
Candidati tra i primi
Generatore di candidature

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Vantaggi offerti da questo lavoro

Industry-leading pay
Inclusive environment
State-of-the-art facilities
Professional development allowance

Descrizione del lavoro

JK Lakshmipat University (JKLU) Institute of Engineering & Technology invites dynamic faculty at Assistant Professor level in Machine Learning/Artificial Intelligence and Cloud Computing. These positions strengthen JKLU's focus on advanced computing and future-ready engineering education.

The appointees will contribute to undergraduate and postgraduate teaching, develop research agendas, mentor industry-oriented projects, and support institutional initiatives aligned with emerging technologies.

Competenze

  • PhD in Computer Science from a recognised institution.
  • Strong scholarly research record with peer-reviewed publications.

Mansioni

  • Teach undergraduate and postgraduate courses in AI/ML and Cloud Computing.
  • Develop cutting-edge research agendas and supervise projects.
  • Collaborate with industry and research bodies to advance institute aims.

Conoscenze

Research orientation
Pedagogical approaches
Industry collaboration
Interdisciplinary collab

Formazione

PhD in Computer Science

Descrizione del lavoro

Founded in 2011 by the 141-year-old J.K. Organisation (JKO), JK Lakshmipat University (JKLU) continues JKO's legacy of excellence and commitment to nation-building. Accredited with an 'A' grade by NAAC, JKLU is at the forefront of innovation, blending academia with industry through its interdisciplinary programs in engineering, management, and design. For more information, please visit www.jklu.edu.in

Job Overview:

The Institute of Engineering & Technology (IET) at JKLU is seeking dynamic and committed Faculty members at the Assistant Professor level, particularly in the domains of Machine Learning/ Artificial Intellegence and Cloud Computing. These positions are critical to strengthening IET’s growing focus on advanced computing, AI-driven innovation, and future-ready engineering education.

The selected faculty members will contribute to the institute’s mission of delivering high-quality engineering education, advancing research, and nurturing an innovation-centric academic culture. They will play a pivotal role in undergraduate and postgraduate teaching, developing cutting-edge research agendas, mentoring industry-oriented projects, and supporting key institutional initiatives aligned with emerging technologies.

These faculty opportunities are ideal for academicians who demonstrate deep expertise in statistics and its subfields, a commitment to continuous professional development, and a passion for fostering high-impact learning environments.

The ideal candidates will showcase strong research orientation, experience with contemporary pedagogical approaches, and the ability to collaborate with industry, research bodies, and internal stakeholders to enhance the institute’s academic standing and societal impact. The roles offer substantial scope for academic leadership, interdisciplinary collaboration, and professional growth while contributing meaningfully to student success and IET’s long-term vision.

Qualifications
  • Educational Background: A PhD from a recognised institution in Computer Science only
  • A strong record of scholarly research, including publications in peer-reviewed journals and contributions to the field.
Why JKLU
  • Industry-Leading Compensation: We benchmark faculty salaries with the Pay Commission of the Government of India.
  • Inclusivity: We foster an inclusive environment that celebrates diversity and ensures equal opportunities for all faculty and staff.
  • State-of-the-Art Facilities: JKLU ensures faculty members have access to the latest technology and resources to support their academic and creative endeavours.
  • Professional Development Allowance: We offer a competitive professional development allowance to help faculty members pursue excellence in teaching and research.
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