Doctoral students(2) in Computer Vision/Deep Learning for Autonomous Driving

Updated: about 2 years ago
Job Type: FullTime
Deadline: 20 Apr 2022

“Our School and research environment is in a very exciting and expansive phase. It is a large research environment with a strong international character. The goal is to be a nationally leading environment within, among other things, applied AI” – Magnus Clarin, Dean of the School of Information Technology.

Halmstad University

Halmstad University adds value, drives innovation and prepares people and society for the future. Since the beginning in 1983, the University has been characterised as forward-thinking and collaborative. Halmstad University offers popular and reality-based education programmes. The research is profiled within two focus areas: Health Innovation and Smart Cities and Communities. The research at Halmstad University is internationally renowned and is pursued in multidisciplinary innovation and research programs. The University takes an active part in the development of society through extensive and recognised collaboration with both the private and public sector.

More information about working at Halmstad University: https://hh.se/english/about-the-university/vacant-positions.html

The School of Information Technology

Halmstad University consists of four interdisciplinary Schools and the current position is located at the School of Information Technology (ITE). ITE is a multicultural school with around 130 employees from 20 different countries. It is a strong research and education environment, with focus on smart technology and its applications. Students and researchers are working with everything from AI and information driven care to autonomous vehicles, social robotics and digital design. ITE offers education on all levels, from undergraduate to PhD education, plus education for professional. Research is conducted within aware intelligent systems, smart electronic systems, cyber physical systems and digital service innovation. These four areas constitute the four technology areas of ITE. An innovation centre for information driven care called Leap for Life is connected to ITE, as well as a collaboration arena for electronic development, Electronics Centre in Halmstad (ECH).

More information about the School of Information Technology: hh.se/ite-en

Description

The selected PhD students will carry out research on developing AI-based novel sensor denoising and adaptive fusion approaches to have robust in-vehicle perception algorithms for autonomous vehicles.  More specifically, the PhD works involve the following topics:

  • Developing a novel generative deep neural network model to detect, identify, and filter out noisy Camera, LiDAR, and RADAR readings affected by rain, fog, snow, and slush.
  • Developing a novel adaptive sensor fusion algorithm based on optimum cost-effective sensor combinations to handle possible sensor failures in a multi sensor setup.
  • Both PhD positions are offered in the frame of a Horizon Europe project ROADVIEW (Robust Automated Driving in Extreme Weather) coordinated by Prof. Aksoy from Halmstad University.

    The selected PhD students will be responsible for conducting research within the ROADVIEW project and for participating in the required PhD course activities. The employments also includes teaching responsibilities corresponding to a maximum of 20% of full-time. Applicants will be part of an international workgroup and an English-speaking environment. 

    This is two full-time positions available from September 2022 for a period of four years. Enough resources to fund experiments and conference travels are available.

    Work environment

    The positions is at CAISR (Center for Applied Intelligent Systems Research), which is a long-term research program on intelligent systems at the School of Information Technology at Halmstad University. The focus of the centre is on aware intelligent systems, computer systems that are human aware, situation aware and to some extent “self-aware". This means systems that can communicate with humans, systems that can be aware of human intentions, systems that can fuse information and be aware of the situation and not just individual sensor readings, and systems that can be self-monitoring.



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