We are looking to recruit a Research Fellow with research profile in human detection and tracking to join our growing agri-robotics research team.
We are developing autonomous fleets of robots for in-field transportation and logistics to aid and complement human fruit pickers. In particular, the RASberry project will consider strawberry production in polytunnels. Working solutions for autonomous in-field transportation will significantly decrease production costs and be the first step towards fully autonomous robotic systems for berry production. A dedicated mobile platform is being developed, together with software components for fleet management, in-field navigation and mapping, long-term operation, and safe human-robot collaboration in strawberry production facilities.
RASberry is a collaboration between the Norwegian University of Life Sciences (NMBU) and University of Lincoln. Under this project, more than 10 postdoctoral and PhD researchers form a team to develop robust cutting-edge scientific solutions to address the challenges of in-field logistics and collaboration between mobile robots and human workers.
You will have access to state-of-the-art research farms equipped with industrial standard production facilities, as well as agricultural robots with advanced sensors and tools, including the world-leading Thorvald platform. Through the close collaboration with industry and academic partners, you will be embedded in an international consortium, with excellent opportunities to develop a strong individual research portfolio while being engaged in impactful and exciting research solving real-world problems.
We are looking to recruit postdoctoral researchers with relevant experience and/or a keen interest in human detection and tracking, robot perception using thermal cameras, human-robot collaboration and shared autonomy and distributed systems. You will be placed at the centre of this exciting project, collaborating closely with other researchers, taking a leading role in the research, development, integration and orchestration of the overall system, with a focus on software development.
Applicants should have or expect to soon obtain, a PhD in a relevant area. You must have excellent mathematical and coding skills (C++/Python, ROS). This opportunity allows you to engage in international collaboration within an ambitious team, to work with state-of-the-art robotic hardware and software, and to benefit from excellent support to produce and disseminate original research contributions in the leading international conferences and journals.
You will also contribute to the University's ambition to achieve international recognition as a research intensive institution and will be expected to design, conduct and manage original research in the above subject areas as well contribute to the wider activities of L-CAS. Evidence of authorship of research outputs of international standing is essential, as is the ability to work collaboratively as part of a team, including excellent written and spoken communication skills. Opportunities to mentor and co-supervise PhD students working in the project team will also be available to outstanding candidates.
As an institutional Athena SWAN Bronze Award holder we are committed to advancing gender equality in STEM, therefore female applicants are strongly encouraged to apply.
Closing Date: 03 Jan 2018