Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Aalborg University
- NTNU Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- Technical University of Denmark
- Technical University of Munich
- Cranfield University
- Istituto Italiano di Tecnologia
- Lulea University of Technology
- University of Nottingham
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- CNRS
- Harper Adams University
- Nature Careers
- The University of Manchester
- University of Agder
- University of Warwick
- VUB Vrije Universiteit Brussel
- ;
- Aalborg Universitet
- Cranfield University;
- DAAD
- Empa
- Forschungszentrum Jülich
- Imperial College London;
- Inria, the French national research institute for the digital sciences
- King's College London
- Linköping University
- Luleå tekniska universitet
- Middlesex University;
- Northeastern University
- Oxford Brookes University
- Radboud University
- TU Wien
- Technion - Israel Institute of Technology
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- UTTOP
- UWE, Bristol
- Universidade de Vigo
- University of Bologna
- University of Exeter;
- University of Galway
- University of Southern Denmark
- University of Texas at El Paso
- University of Twente
- University of Twente (UT)
- Wageningen University & Research
- cellumation GmbH
- 38 more »
- « less
-
Field
-
4th May 2026 Languages English English English Do you have what it takes to address the biggest challenges facing food processing automation? PhD position within Robotics, Automation and Sensing
-
, robust, and trustworthy robotic technologies. Your research will span core challenges such as robot control, decision-making under uncertainty, multimodal information fusion, and foundational models
-
instability before they occur. By analysing historical and real-time network data, the system will provide early warning and enable adaptive robotic control, such as adjusting control sensitivity or restricting
-
critical human-centred design challenge emerges: users typically interact with these virtual environments through controller-based interaction, which is largely devoid of the haptic (touch-based) cues
-
on information and digital technologies (computer science, automation, robotics, artificial intelligence). Its aim is to develop methods for the representation, analysis, and control of systems subject to various
-
warning and adaptive control to ensure safe and reliable human–robot interaction. The PhD project will develop AI-empowered predictive models that anticipate network delay and instability using historical
-
, the project will establish predictive frameworks capable of optimising process parameters, controlling microstructure evolution, and improving part quality in real time. Robotic platforms will be used
-
, control, and manufacturing problems in real-world applications. We are seeking talented candidates with: •First or upper second-class degree in mechanical, mechatronics, robotics, cybernetics or related
-
learning and control systems Fluent in English (written and spoken) Practical experience with (multi-agent) path planning strategies Basic knowledge of ROS2 (Robot Operating System) and simulation techniques
-
feedback using machine learning and control engineering methods. The project will be hosted at the Bristol Robotics Laboratory (BRL), the UK’s largest academic centre for robotics research, with access