Autonomous Systems Initiative

Tampere University has several professor positions open related to AI and its applications, covering various areas of signal processing. The positions include a quite substantial starting package, covering funding for multiple research group members. Strong researchers are encouraged to apply! The deadline for applications is 9 March 2025. For more information about the positions, please visit this page.

The Signal Processing Research Centre of Tampere University is looking for a tenure track-professor (assistant/associate/full) to join its team of world-class experts. Please see the full description and apply here.

Advanced driver assistance systems are key to enhancing road safety. One of the critical requirements for such systems is to reliably perceive the environment. The state-of-the-art sensors, however, are not ubiquitously deployed in driver assistance systems due to their high cost. On the other hand, simpler low-cost sensing solutions suffer from poor perception. 

In this project, you will address this gap by combining sensing capacities of the human driver and the driver assistance system, to develop sensing solutions that are both affordable and reliable. Your aim will be to develop signal processing algorithms and interfaces to incorporate driver in the sensing loop of automated driver assistance systems. Your work will leverage the unique cognitive abilities of humans controlling these systems to process complex signals and make informed real-time decisions. The project will lay the foundations for understanding how human interaction with signal processing systems impacts transparency and ethical considerations in deploying hybrid human-in-the-loop solutions.

In this project, you will be able to develop your skills in designing innovative human-in-the loop sensing solutions, rapid prototyping, and evaluation of your solutions in driving simulator experiments with human participants. You will work together with Dr. Nitin Myers from the Delft Center for Systems and Control, and Dr. Arkady Zgonnikov from the Department of Cognitive Robotics at TU Delft.

The Delft Center for Systems and Control (DCSC) at TU Delft is offering one PhD vacancy under the newly funded ‘Signal Processing for Environment-Aware Radar’ (SPEAR) project. The project will be carried out in the research group of Dr. N. J. Myers, in collaboration with researchers at the faculty of 3mE and the faculty of EEMCS. The PhD candidate will work on industry-relevant scientific challenges in collaboration with industry experts from NXP.

Dr. Myers’s group at TU Delft develops and analyzes novel signal processing techniques for communications and sensing with wireless systems. We focus on both applied and theoretical aspects of challenging problems in connected automotive and radars.

PhD project description: In next generation automotive networks, radars will be deployed in almost every vehicle to ensure safe driving. In such dense radar deployments, signals from multiple radars interfere with each other and deteriorate the perception capability of the radars.  This PhD project will develop new signal processing techniques, to construct multi-dimensional digital radar waveforms and algorithms, that ensure interference-robust radar operation even in dense automotive networks. Our techniques are also expected to adapt to the sensing environment, by leveraging information from various sensors in an automotive. 

Are you interested in this vacancy? Please check the job requirements and apply here before 31 January 2023.

Candidates are also encouraged to look at another PhD vacancy, within the project SPEAR, in the group of Dr. Geethu Joseph, EEMCS: PhD Position in Radar Signal Processing For Next Generation Vehicular Networks.