JOBS IN ROBOTICS AND AI

• Generative Design for Exoskeletons and Orthosis

• Postdoctoral Research in Generative Mechanism Design

• Research Assistant in Generative Design for Exoskeletons and Orthosis

• Background in ML and aspects of robotics/HRI

• For a project on foundation models for driver-vehicle interaction on the road!

• Human-machine interactions & machine learning for the creation of new AI models

• Change how we share autonomy between the car and the driver on the road

• Towards publications in the relevant venues ...

• There are three post-doc positions available on the topics of :

• Learning and Perception for Autonomous Systems (with Dr. Stephanie Lowry)

• Neurosymbolic AI (with prof. Luc De Raedt)

• Machine Learning and Computer Vision (with Dr. Stephanie Lowry)

• Part of the Wallenberg AI, Autonomous Systems and Software Program (WASP)

• Post-Graduate researchers at the National Research Council of Italy

• Research activities within the framework of the Italian PRIN project BEASTIE:

• BEASTIE - roBotic undErwater Autonomous Social Team for

• cooperative manipulation and IntelligencE

• The position is fixed-term with a duration of 12 months.

• Two outstanding Ph.D. students at the crossroads of control theory, mechatronics

• &(outdoor) drones to advance with rigorous research in the field of robot swarms

• The expected starting day for these positions is before the end of 2024

• 1) Formal analysis, physics, control theory ...

• 2) Aerial robots and perception/localization together with the programming ...

• Shared control of microrobots for endovascular medical interventions

• Cognitive Shared-Control; Reactive Trajectory Generation;

• Visuohaptic Perception; Haptic Rendering; Stability Control and Trustworthiness

• The project aims to address the treatment of aneurysms in endovascular procedure

• Postdoctoral Fellow in Robot-Assisted Raspberry Production

• Postdoctoral Fellow in Machine Learning and Data Visualisation for

• Disease Detection and Crop Monitoring in Raspberry Production

• SLAM and sensor integration for automatic pipeline inspection.

• To combine low-cost 3D cameras, LiDAR sensors, and cutting edge AI technology.

• To create a prototype robot crawler for automatic pipeline inspection.

• A first version has already been developed and tested in an actual environment

• But existing SLAM alg. & sensor integration need further research/improvements

• Boundary of soft robots' intelligence & manipulating large deformable objects

• Postdoctoral researcher enthusiastic about model-based control and its use

• Advancing theoretical models/methods & validating these approache experimentally

• Positions in ground and aerial robots with 100% of the regular working hours

• PhD 1: Safe, learning-based model predictive control (MPC) alg. for aut. robots

• PhD 2: Design, analysis, and implementation of reinforcement learning algorithms

• Post-doc 1: Design, analysis, and implementation of reinforcement learning alg.

• Post-doc 2: Vision-based navigation, SLAM, perception, and sensor fusion alg.

• Three-year postdoctoral position- RAICo one facility in Whitehaven, Cumbria, UK

• making reinforcement learning simpler/more reliable to use with robots

• by simplifying reward design.

• The facility is well equipped with a range of robotic systems

• RAICo One also has dedicated robotic test areas

• Investigate methods for risk-aware navigation among decision-making agents

• using learning and optimization

• apply them to self-driving cars and/or team for quadrotors.

• You can focus on interactive motion planning, learning for planning, risk-aware

• motion planning under uncertainty, learning of interaction models, multi-robot..

• Human Models for Accelerated Robot Learning and Human-Robot Interaction

• Develop novel approaches to teach robots to proficiently interact with humans

• Develop novel models from which various human behaviours can be generated

• Used to train human-robot interaction policies in simulation.

• Identifying/integrating known human behavioural biases into deep learning models

• Physical human-robot interaction with applications in a caregiving setting

• Improve the control and the interaction itself of physical interaction between

• collaborative robots and end-users, by estimating the state of the human which

• can be represented by both their mental and physical states.

• The robot will be semi-autonomous and can be remotely operated by a caregiver.