PhD in Multisensory Autonomy for Intelligent Mobile Systems (1.0 FTE) (V24.0259) Job description Reliable state estimation and perception play imperative roles in reaching high-performance autonomy for intelligent mobile systems. Recent advances in sensor technologies have provided enormous possibilities and challenges ranging from hardware utility to information processing. Meanwhile, intelligent mobile systems have been deployed to extensive application scenarios that are safety- and performance-critical, such as autonomous driving, smart factory/health/agriculture/forestry, etc. In this PhD project, we investigate novel methodologies for state estimation and perception using multimodal sensors in mobile robotics. Towards agile sensing and inference, a series of original studies will be conducted based on uncertainty-aware kino-dynamic modeling and statistical machine learning. We put equal emphasis on developing universally adaptive theories and sensory-specific methods. Through system-level developments, the theoretic-based contributions will be validated in the real world in a performance-oriented manner. Further, the resulting estimation and perception schemes are anticipated to be coupled with motion planning and locomotion. We allow tailored topics with considerations on the candidate's research interests and skill sets. The objective of the temporary position is the production of a number of research articles in peer-reviewed scientific journals and conference proceedings, which together will form the basis of a thesis leading to a PhD degree (Dr) at the University of Groningen. Organisation Within the Faculty of Science and Engineering, a 4-year PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic in multisensory autonomy for intelligent mobile systems. The candidate would become a member of the Intelligent Systems Group of the Computer Science Department and will be supervised by Dr. within his team working on Agile Sensing and Intelligence ( https://asig-x.github.io/ ) Qualifications The successful candidate should Organisation Conditions of employment We offer you, following the Collective Labour Agreement for Dutch Universities: Application Application should include You can submit your application until 31 May 11:59pm / before 3 June 2024 Dutch local time (CET) by means of the application form (click on "Apply" below on the advertisement on the university website). Applications received before 1 June 2024 will be given full consideration; however, the position will remain open until it is filled. We are an equal opportunity employer and value diversity at our University. We are committed to building a diverse faculty so you are encouraged to apply. Our selection procedure follows the guidelines of the Recruitment code (NVP), https://www.nvp-hrnetwerk.nl/nl/sollicitatiecode and European Commission's European Code of Conduct for recruitment of researchers, https://euraxess.ec.europa.eu/jobs/charter/code Unsolicited marketing is not appreciated. Information For information you can contact:
Founded in 1614, the University of Groningen enjoys an international reputation as a dynamic and innovative institution of higher education offering high-quality teaching and research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 34,000 students and researchers alike to develop their own individual talents. As one of the best research universities in Europe, the University of Groningen has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge.
onbekend
Functietitel | Assistant Professor |
Indicatie salaris (min – max] | onbekend – onbekend |
Opleidingsniveau | WO |
Aantal uren (min – max) | 1 – 40 |
Contactgegevens | onbekend , onbekend onbekend |
Type contract | Tijdelijk |
Branche | Overig |
Locatie | Groningen, Groningen,Nederland |
Soliciteer direct | https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S000AS5P&cat=wp&dept=fwn |
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