PhD Research Fellow: Learning-based Robot Manipulation

Arbeidsplassen; Grimstad; On-site; NOK 496,000 - 606,000; Full time

Benefits offered by this job

Professional development

Inclusive environment

Modern facilities and welfare schemes

Public Service Pension Fund

Job summary

University of Agder in Grimstad invites applications for a fixed-term PhD Research Fellow position in Learning-based Control of Autonomous Robot Manipulation. The role, located at Campus Grimstad, spans three years and involves cutting-edge work at the Robotics and Automation group within the Mechatronics discipline.

English proficiency is required for all applicants. The applicant should hold a Master’s degree in mechatronics, control systems or robotics with strong grades and research

Qualifications

• Master’s degree in mechatronics, control systems, robotics or related field.
• English proficiency required; international candidates must meet NOKUT requirements.
• Strong background in control, robotics, machine learning; experience in model predictive control, adaptive control, reinforcement learning, robot perception or manipulation.

Responsibilities

• Prepare, drafting and submission of research reports and publications.
• Dissemination activities at the European level.
• Test and validate methods on real robotic platforms at Motion Lab.
• Collaborate with partner institutions in Japan, Canada and the USA.

Skills

Control theory

Robotics

Machine learning

Mechatronics

Education

Master’s degree in mechatronics, robotics, or control systems

Tools

MATLAB

Python

C/C++

ROS

Job description

University of Agder in Grimstad invites applications for a fixed-term PhD Research Fellow position in Learning-based Control of Autonomous Robot Manipulation. The role, located at Campus Grimstad, spans three years and involves cutting-edge work at the Robotics and Automation group within the Mechatronics discipline.

English proficiency is required for all applicants. The applicant should hold a Master’s degree in mechatronics, control systems or robotics with strong grades and research