About this role
What do you need to thrive in this Job?
Business empathy - Most important mistake that Engineers and Researchers make is Not including the constraints of business as a factor of the problem we solve. From Money, volatility of customer interest, Runway, resource availability, Supply chain bottlenecks, Manufacturability, Scalability, Serviceability, Team Alignment, tool, Skill & infra bottlenecks – all of these dictate the relevance of what one builds more than the principles and tech. A research that doesn’t track its relevance to these metrics most often ends up unviable. Miss one, the whole approach goes unusable or unviable.
Outcome oriented Research – Key factor that differentiates Academic research from Industrial Research. Have developed structured methods to accelerate open ended problems.
Customer/User focus – This is the north star and gives purpose. The greatest joy is in seeing someone benefit from your work. Even greater joy is in they getting addicted to your work. Not Paper focused.
Discipline & Consistency - Research is an unobjective business and its easy to hide behind its subjectivity and justify delay/ mood swings. When system lacks objectivity, Its self-discipline that gets you to the goal. Timelines Matter – Simply because money runs out. Easiest hack – Learn to carve out usable outcomes our of every step of progress in Research, even if the entire research is yet to materialize.
As part of the Job you will be responsible for joint research efforts with Research institutions including IISC & EPFL. You will be responsible to coordinate the research activities between CynLr & the Partner Research Institutions. And manage outcomes out of the engagements.
Who should Apply?
If you are a Post-Docs, Phds, Research faculties, Research scientist looking to further your research into materialized real-world outcomes
You are in your UG/PG, but beyond the romance of research & titles, if you have understood the grind of research and is keen on building technology that needs solving a foundational problem for customers/industry that requires research, please apply.
Driven Not by Papers, Not Patents, Not titles – just utility, Please apply. Understand the difference between experimental research and paper research.
If you have realized the limitations of current approach to Intelligence and Robotics technologies and recognize the need for deeper research.
Structured research mindset – Not Jugaad.
Technical Skill :
Very strong fundamentals understanding in respective subjects.
For Algo & Compute – HPC/GPU role, you need to have exceptional understanding of Computer Architecture, Compliers & OS.
For Computational Neuroscience & Vision - Proficient with Computer Vision, Physics of Light & Optics, Fundamentals of Neurons/Neuroscience.
For Optics, Sensors & HW - Proficient with Electronic Design, Materials, Optics, Signals & Systems. Savy with instrumentation.
For Robotics & Motion Control – Strong with Controls Theory, MPC & Adaptive control, working experience with Motion Control Design, Proficiency in Robot Control & Kinematics, Machine learning Fundamentals.
For ML/RL research – Proficient with ML Architecture design, Temporal NN design, Designing Reinforcement Learning , Foundations of NN and neuron design, Learning Design.
Fundamentals of Systems and Control theory
Strong penchant for Instrumentation (designing measurement tools/methods & sensors), analytics and designing experiments
Proficiency with programming– You don’t have to be tool/Language experts.
What This Role is NOT
Pure academic paper driven research.
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