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Rishihood University

Faculty for Robotics

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JOB DESCRIPTION<\/span> <\/span><\/span><\/span><\/span><\/b><\/span><\/span><\/span>
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Position:\nAssistant Professor/Associate Professor<\/span><\/span><\/span>
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Location: Sonepat,\nNCR of Delhi.<\/span><\/span><\/span>
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Mode: Full Time,\nOn\-Campus<\/span><\/span><\/span>
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Programme: B. Tech\nCS and Data Science<\/span><\/span><\/span>
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ABOUT US <\/span><\/span><\/span><\/b>
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Rishihood\nUniversity<\/span> <\/span><\/span><\/span><\/span><\/i><\/b>
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Rishihood\nUniversity (RU) has been established under The Haryana Private Universities\n(Amendment) Act, 2020 and is empowered to award degree as specified in section\n22 of UGC Act, 1956. <\/span><\/span><\/span>
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Rishihood\nUniversity is India\u2019s first and only impact university. \u2018Impact\u2019 is the living\nspirit of Rishihood. The purpose of education envisioned by the thought leaders\nof our civilization and that which has motivated the founders to build\nRishihood University is beyond just awarding degrees and jobs. The purpose of\neducation is to achieve the highest potential in a learner i.e., Rishihood.\nRishihood University provides a unique mix of globally relevant education that\nis rooted in Indian ideas, quality education that is affordable, and a\nmulti\-disciplinary exposure with cutting edge skills of a specialist. To\nachieve this outcome, education cannot be limited to within the classrooms. RU\nis a fully residential campus where living and learning seamlessly integrate\nthroughout the day. RU faculty and learners have an active participation with\nsociety, industry, researchers, entrepreneurs, and policy makers. This keeps\nthe learning at RU focused on solving the biggest challenges faced by humanity\nand prepares our learners for the real world. It is time India builds\nuniversities driven by a higher purpose, that have a strong committed board to\nback it, that redefine the way education is imparted both within and outside\nthe classroom. Rishihood is a bold initiative to fulfil this idea.\nHence, we are looking for like\-minded founding faculty members at Rishihood\nUniversity.<\/span><\/span><\/span>
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About Position<\/span><\/span><\/span><\/b>
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Track |<\/span><\/span><\/span> <\/span><\/i>Robotics & Mechatronics<\/span><\/span><\/span>
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Kinematics & Dynamics \u2022 Control\nSystems \u2022 Autonomous Systems \u2022 Mechatronics<\/span><\/span><\/span>
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Someone once\ntaught you why a linked list beats an array in certain conditions, and\nsomething clicked. That moment of clarity, when the why behind the code finally\nlands, is exactly what we are trying to create at scale for every student who\nwalks through our doors. We need the person who can make that happen.<\/span><\/span><\/span>
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You will join Rishihood\nas a Faculty with full teaching ownership of the Core Software Engineering\ntrack. This is the bedrock of the programme. As you grow, you will take on\nTrack Lead responsibilities: defining curriculum direction, building the\nfaculty team, and connecting with industry to bring real problems into the\nclassroom. You will not be executing someone else's vision. You will be\nbuilding your own.<\/span><\/span><\/span>
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Key\nResponsibilities<\/span><\/span><\/span><\/b>
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  • Teach\n kinematics, dynamics, and control theory, going deep on the why and not\n just the what<\/span><\/span><\/span>
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  • Design\n and lead lab sessions where students implement forward and inverse\n kinematics, tune controllers, and build working robotic systems from the\n ground up<\/span><\/span><\/span>
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  • Bridge\n theory and practice: connect Lie group formulations to ROS\n implementations, screw theory to physical manipulator behaviour<\/span><\/span><\/span>
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  • Run\n structured project critiques and demo days that build honest engineering\n judgment<\/span><\/span><\/span>
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  • Mentor\n students on capstone and thesis work in robotics, autonomous systems, or\n mechatronics<\/span><\/span><\/span>
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  • Own\n the Robotics curriculum as Track Lead, hire junior faculty, and set the\n academic standard for this track<\/span><\/span><\/span>
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  • Work\n closely with the Lab Lead to ensure laboratory infrastructure, robotic\n platforms, and practical sessions are tightly integrated with theory\n instruction<\/span><\/span><\/span>
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    Job Specifications<\/span><\/span><\/span><\/b>
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    ·<\/span> <\/span><\/span><\/span><\/span><\/span><\/span>You should hold an PhD or MTech (or equivalent in\nRobotics, Mechatronics, or Control Engineering), or equivalent in a relevant\nfield. Beyond the degree, here is what we care about.<\/span><\/span>
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    Technical Depth<\/span><\/span><\/span><\/b>
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    • Expert\n command of core robotics theory: forward and inverse kinematics,\n Denavit\-Hartenberg parameters, Jacobian analysis, and workspace\n characterisation<\/span><\/span><\/span>
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    • Deep\n fluency in dynamics: Newton\-Euler and Lagrangian formulations for robotic\n manipulators, and how these translate to real hardware behavior<\/span><\/span><\/span>
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    • Strong\n grounding in control systems: PID, computed torque, state\-space methods,\n and at least one advanced approach such as sliding mode, MPC, or impedance\n control<\/span><\/span><\/span>
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    • Working\n knowledge of modern robotics formulation: screw theory, product of\n exponentials, and Lie group representations (SO(3), SE(3))<\/span><\/span><\/span>
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    • Familiarity\n with probabilistic robotics and autonomous systems: SLAM, Bayesian\n estimation, sensor fusion, and motion planning algorithms<\/span><\/span><\/span>
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    • Hands\-on\n experience with robotic platforms, sensors, actuators, and embedded\n systems; comfort with ROS, MATLAB/Simulink, or equivalent practical\n environments<\/span><\/span><\/span>
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      The Person<\/span><\/span><\/b>
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      • You\n treat teaching as a craft, take ownership proactively, and are comfortable\n with structured critique of your students' work and your own<\/span><\/span><\/span>
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      • You\n can explain screw theory to a second\-year student who has never seen a Lie\n group, and make it land<\/span><\/span><\/span>
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      • You\n have the patience for a student genuinely struggling with the maths, and\n the honesty to push the one who is coasting on intuition<\/span><\/span><\/span>
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      • You\n are equally at home with a whiteboard full of derivations and a lab bench\n full of wires<\/span><\/span><\/span>
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        Good to Have<\/span><\/span><\/b>
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        • Familiarity\n with the Modern Robotics textbook (Lynch & Park) or equivalent\n graduate\-level treatment<\/span><\/span><\/span>
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        • Background\n in parallel robots, cable\-driven systems, compliant mechanisms, or soft\n robotics<\/span><\/span><\/span>
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        • Experience\n with computer vision in robotics: epipolar geometry, visual odometry, or\n vision\-based control<\/span><\/span><\/span>
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        • Exposure\n to reinforcement learning or formal methods applied to robotic autonomy<\/span><\/span><\/span>
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        • Academic\n writing, course material development, or research publication track record<\/span><\/span><\/span>
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        • Industry\n experience with robotic systems integration, automation, or autonomous\n vehicles<\/span><\/span><\/span>
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          This job\ndescription is not intended to be all\-inclusive. The employee may be expected\nto perform other duties as assigned by the supervisor.<\/span><\/span><\/span>
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