Find a jobRecruiters

Professor (Physics)

Exclusive opportunity

Onsite

Professor (Physics)

Newton School

Professor (Physics)

Skills

PythonMATLABData AnalysisAI

9 months ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


Job highlights

  • . Quantum & Applied Physics: Proficiency in Quantum Mechanics,Information Theory,Quantum Computing,Electronics,Robotics Physics,Sensors,and Signal Processing

  • Qualifications. PhD or MSc / MTech in Physics. .,Applied Physics,or a related interdisciplinary field (PhD preferred)

  • Required Expertise (Any One or More)

    About Us

At Newton School of Technology , in collaboration with Ajeenkya DY Patil University , we re on a mission to reshape the future of technology education in India. Together, we are working to bridge the employability gap by equipping learners with relevant, industry-ready skills and creating meaningful impact at scale. With the combined strength of academic excellence and hands-on industry experience, we are building a forward-looking learning environment designed to nurture the next generation of tech innovators, problem-solvers, and leaders.

  Job Summary       

We are looking for enthusiastic and committed Professors to join our Physics department at our Pune campus. We believe that Physics is the bedrock of all modern technology from the semiconductors in our pockets to the quantum algorithms of the future.

If you are passionate about teaching, excited about mentoring young minds, and eager to show students how physical principles drive technological breakthroughs, we would love to meet you. Whether your expertise lies in Quantum Mechanics, Semiconductor Physics, Electromagnetism, or Computational Physics, you will play a key role in building a strong scientific foundation for our future engineers.

  Key Responsibility Areas       

  Teaching & Learning       
  • Teach and engage students across foundational and applied Physics modules.

  • Bridge the Gap: Design curriculum that connects Physics concepts to real-world tech applications (e.g., Physics for AI, Robotics, or Hardware Engineering).

  • Lead lab sessions, modernizing the "practical" experience with high-tech tools and data-driven experiments.

  • Provide consistent support through mentoring, tutoring, and doubt-solving.

    Academic Ownership & Innovation       
    
  • Take ownership of student learning outcomes and ensure Physics remains a "favorite" rather than a "hurdle" for tech students.

  • Lead or contribute to research initiatives, particularly in applied or computational physics.

  • Cultivate a supportive, collaborative, and inspiring learning environment that encourages curiosity.

    Collaboration & Administration       
    
  • Work collaboratively with CS faculty to integrate Physics with subjects like Graphics, Robotics, and Quantum Computing.

  • Actively participate in department events, academic committees, and institutional initiatives.

  • Build strong relationships with students and colleagues to support a vibrant academic culture.

    Qualifications       
    
  • PhD or M.Sc./M.Tech in Physics , Applied Physics, or a related interdisciplinary field (PhD preferred).

  • UGC-NET/SLET qualified candidates are strongly preferred.

  • Prior experience in teaching or research at the university level is a plus.

  • Strong communication skills with the ability to simplify complex physical phenomena.

  • Familiarity with computational tools (like Python, MATLAB, or Mathematica) is highly desirable.

Required Expertise (Any One or More)

  • Foundational & Solid State Physics: Expertise in Mechanics, Electromagnetism, Thermodynamics, Optics, Semiconductors, Nanotechnology, and Material Science.

  • Quantum & Applied Physics: Proficiency in Quantum Mechanics, Information Theory, Quantum Computing, Electronics, Robotics Physics, Sensors, and Signal Processing.

  • Computational Physics: Strong background in Numerical Methods, Modeling and Simulation, and Data Analysis for solving complex physical problems .

    Perks & Benefits       
    
  • Competitive compensation and benefits.

  • Opportunities for research, publications, and interdisciplinary academic collaborations.

  • Access to modern labs, tools, and state-of-the-art learning facilities.

  • Freedom to innovate and influence the next generation of technologists.

  • A warm, collaborative academic community that values growth and mentorship.

    ...

Other offers great for you!

These companies are also looking for great profiles

Ecaris

Consultant Data & IA - Automatisation du Reporting Backlog

Freelance

Paris, France

Onsite

Skills

PythonSnowflakeData AnalysisPower BIExcelSQLBusiness Intelligence (BI)Artificial Intelligence (AI)Workflow AutomationFinancial Reporting

6 hours ago

Quick apply

Celad

Développeur Full Stack IA

50000

Permanent contract

77186 Noisiel, France

Hybrid, Onsite

Skills

PythonAILinuxAzure

6 hours ago

Quick apply

Yunik

Lead Data Scientist Transverse – IA / Machine Learning / GenAI

Freelance

Paris, France

Hybrid

Skills

LLMs / Large language modelsPythonData ScienceMachine LearningAIIA GénérativeRAGAgentic AISQLGCPVertexMLOpsLeadership technique

5 hours ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools