Website:
rishihood.edu.in
Job details:
JOB DESCRIPTION
Position: Assistant Professor/Associate Professor
Location: Sonepat, NCR of Delhi.
Mode: Full Time, On-Campus
Programme: B. Tech CS and Data Science
ABOUT US
Rishihood University
Rishihood University (RU) has been established under The Haryana Private Universities (Amendment) Act, 2020 and is empowered to award degree as specified in section 22 of UGC Act, 1956.
Rishihood University is India’s first and only impact university. ‘Impact’ is the living spirit of Rishihood. The purpose of education envisioned by the thought leaders of our civilization and that which has motivated the founders to build Rishihood University is beyond just awarding degrees and jobs. The purpose of education is to achieve the highest potential in a learner i.e., Rishihood. Rishihood University provides a unique mix of globally relevant education that is rooted in Indian ideas, quality education that is affordable, and a multi-disciplinary exposure with cutting edge skills of a specialist. To achieve this outcome, education cannot be limited to within the classrooms. RU is a fully residential campus where living and learning seamlessly integrate throughout the day. RU faculty and learners have an active participation with society, industry, researchers, entrepreneurs, and policy makers. This keeps the learning at RU focused on solving the biggest challenges faced by humanity and prepares our learners for the real world. It is time India builds universities driven by a higher purpose, that have a strong committed board to back it, that redefine the way education is imparted both within and outside the classroom. Rishihood is a bold initiative to fulfil this idea. Hence, we are looking for like-minded founding faculty members at Rishihood University.
About Position
Track | Robotics & Mechatronics
Kinematics & Dynamics • Control Systems • Autonomous Systems • Mechatronics
Someone once taught you why a linked list beats an array in certain conditions, and something clicked. That moment of clarity, when the why behind the code finally lands, is exactly what we are trying to create at scale for every student who walks through our doors. We need the person who can make that happen.
You will join Rishihood as a Faculty with full teaching ownership of the Core Software Engineering track. This is the bedrock of the programme. As you grow, you will take on Track Lead responsibilities: defining curriculum direction, building the faculty team, and connecting with industry to bring real problems into the classroom. You will not be executing someone else's vision. You will be building your own.
Key Responsibilities
- Teach kinematics, dynamics, and control theory, going deep on the why and not just the what
- Design and lead lab sessions where students implement forward and inverse kinematics, tune controllers, and build working robotic systems from the ground up
- Bridge theory and practice: connect Lie group formulations to ROS implementations, screw theory to physical manipulator behaviour
- Run structured project critiques and demo days that build honest engineering judgment
- Mentor students on capstone and thesis work in robotics, autonomous systems, or mechatronics
- Own the Robotics curriculum as Track Lead, hire junior faculty, and set the academic standard for this track
- Work closely with the Lab Lead to ensure laboratory infrastructure, robotic platforms, and practical sessions are tightly integrated with theory instruction
Job Specifications
You should hold an PhD or MTech (or equivalent in Robotics, Mechatronics, or Control Engineering), or equivalent in a relevant field. Beyond the degree, here is what we care about.
Technical Depth
- Expert command of core robotics theory: forward and inverse kinematics, Denavit-Hartenberg parameters, Jacobian analysis, and workspace characterisation
- Deep fluency in dynamics: Newton-Euler and Lagrangian formulations for robotic manipulators, and how these translate to real hardware behavior
- Strong grounding in control systems: PID, computed torque, state-space methods, and at least one advanced approach such as sliding mode, MPC, or impedance control
- Working knowledge of modern robotics formulation: screw theory, product of exponentials, and Lie group representations (SO(3), SE(3))
- Familiarity with probabilistic robotics and autonomous systems: SLAM, Bayesian estimation, sensor fusion, and motion planning algorithms
- Hands-on experience with robotic platforms, sensors, actuators, and embedded systems; comfort with ROS, MATLAB/Simulink, or equivalent practical environments
The Person
- You treat teaching as a craft, take ownership proactively, and are comfortable with structured critique of your students' work and your own
- You can explain screw theory to a second-year student who has never seen a Lie group, and make it land
- You have the patience for a student genuinely struggling with the maths, and the honesty to push the one who is coasting on intuition
- You are equally at home with a whiteboard full of derivations and a lab bench full of wires
Good to Have
- Familiarity with the Modern Robotics textbook (Lynch & Park) or equivalent graduate-level treatment
- Background in parallel robots, cable-driven systems, compliant mechanisms, or soft robotics
- Experience with computer vision in robotics: epipolar geometry, visual odometry, or vision-based control
- Exposure to reinforcement learning or formal methods applied to robotic autonomy
- Academic writing, course material development, or research publication track record
- Industry experience with robotic systems integration, automation, or autonomous vehicles
This job description is not intended to be all-inclusive. The employee may be expected to perform other duties as assigned by the supervisor.
Click on Apply to know more.