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About Us

Plaksha is a 21st-century university focused on solving global challenges through transformative technology education. A unique collective philanthropy effort, our initiative is driven by a dedicated team committed to advancing technology education and research in India.

At Plaksha, we aim to foster an environment that encourages curiosity, innovation, and interdisciplinary collaboration, bringing together leading minds from academia and industry to address some of the world's most pressing challenges.

Role: Project Associate I

About the RoleWe are looking for a technically strong and research-oriented individual to contribute to an advanced research project focused on developing general-purpose AI models for real-world robotic control.

The project aims to advance robotics through the development of robust and reliable AI-based techniques for autonomous navigation and locomotion, particularly for quadrupedal legged robots operating across irregular terrains and dynamic environments.

The selected candidate will work closely with a senior-level researcher to develop high-level planning and control strategies using reinforcement learning and computer vision. The role offers an opportunity to work on cutting-edge AI techniques and contribute to solving complex challenges in real-world robotics, with a focus on improving the versatility, adaptability, and reliability of autonomous robotic systems.

Key Roles & Responsibilities

- Collaborate with senior researchers to develop high-level planning algorithms for autonomous navigation of quadrupedal legged robots across irregular terrains and diverse environments.
- Design, develop, and implement reinforcement learning pipelines for robotic navigation and locomotion.
- Integrate computer vision techniques with reinforcement learning models to develop robust and versatile navigation planners.
- Experiment with and optimize machine learning and deep learning models for real-world robotic control applications.




- Research and implement AI architectures and planning techniques to improve the adaptability, robustness, and reliability of autonomous robotic systems.
- Independently investigate technical challenges, conduct experiments, and contribute to the development of innovative solutions for real-world robotics applications.

Skills Required

- Strong fundamentals in Machine Learning, particularly Deep Learning and model optimization.
- Hands-on experience in building, training, experimenting with, and evaluating machine learning models.
- Proficiency in PyTorch or similar deep learning frameworks.
- Understanding of Reinforcement Learning and its applications in autonomous systems and robotic control.
- Familiarity with computer vision techniques and their integration with machine learning models.
- Strong analytical and problem-solving abilities, with an aptitude for research and experimentation.
- Ability to work independently, take ownership of technical challenges, and collaborate effectively with researchers.

Educational Qualifications

- B.Tech in Computer Science, Electrical Engineering, or a related engineering discipline.
- Hands-on experience in developing and experimenting with machine learning models is essential.
- Prior exposure to reinforcement learning, robotics, autonomous navigation, or computer vision will be an added advantage.

What Can Plaksha Offer You?

- An opportunity to work on cutting-edge research at the intersection of Artificial Intelligence, Machine Learning, and Robotics.
- A team-oriented research environment with opportunities to work alongside leading minds in academia and industry.
- Exposure to real-world research challenges and the opportunity to contribute to the development of advanced AI-driven robotic systems.
- A transparent work culture embodying our values C.R.E.A.T.E. (Curious, Rigorous, Enterprising, Authentic, Thankful, Exemplary), fostering continuous learning and personal growth.
- An inclusive environment that values diverse talent, encourages innovation, and supports the development of individuals from underrepresented groups.

📌 Project Associate - I (Sahibzada Ajit Singh Nagar)
🏢 Plaksha
📍 Sahibzada Ajit Singh Nagar