
Computer Science Expert for Robotic Automation
3 days ago
Karlstad University seeks a highly motivated and skilled doctoral student to join our research team in robotic lab automation.
The project focuses on enabling robotic automation for material transfer, dosing, and cleaning through perceiving and modeling powdered and granular materials using force-torque and vibratory sensing. The goal is to develop efficient scooping actions for material transfer and precise dosing based on these models.
Project Objectives- Develop perception and modeling techniques for handling hidden surfaces of powdered and granular materials.
- Plan and execute scooping actions for efficient material transfer.
- Implement online sensor feedback for precise material dosing.
This position offers opportunities for collaboration with researchers and industry partners at the Wallenberg AI, Autonomous Systems and Software Program (WASP) Research Arena Robotics. You will have access to robots and sensor systems at Karlstad University and collaborating universities.
PhD Program OverviewThe program consists of courses and an independent research project presented in a doctoral thesis, totaling 240 credits and equivalent to four years of full-time study.
Entry Requirements and SelectionTo be eligible, applicants must meet both general entry requirements and specific entry requirements, demonstrating the ability to benefit from the program. The specific entry requirements include:
- A Master's degree in Engineering or a related field, or 120 credits with an independent project in a relevant subject area.
- A strong background in mathematics, computer science, machine learning, and robotics.
Additional merits include experience with autonomous robots, deep learning, and relevant software frameworks, as well as prior knowledge in machine learning, Gaussian processes, and state estimation.
Application ProcessThe application is made online. A complete application requires electronic documents including a cover letter, CV, transcripts, and other relevant certificates verifying eligibility.
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