1 x 1,0 Early Stage Researcher (f/m/d)
At the department of Computer Science and Mathematics, the Cognitive Systems Lab (CSL, Prof. Tanja Schultz) offers 1 full-time TV-L 13 (100%) position at the earliest possible starting date for a duration of 28 months subject to regulatory approval of
Early Stage Researcher (f/m/d)
in the areas of Machine Learning based Biosignal Processing of Speech and Attention States within the framework of the research project “SmartHelm” funded by the German Federal Ministry of Transport and Digital Infrastructure (BMVI).
Project description: The SmartHelm project aims to develop an intelligent wearable assistance system that will interpret user states derived from biosensors (including EEG, eye-tracking) integrated into a bicycle helmet. The helmet will be enhanced with Augmented Reality (AR) glasses and a microphone to support real-time spoken communication with the user. In this multi-partner interdisciplinary project, our central aim is to detect, predict, and understand the user’s attention-related biosignals with low latency. This will allow the system to inform the delivery driver of a commercial cargo bike about important events (e.g., traffic, and delivery-related). The role of the CSL in this project is focused on current cutting-edge questions of basic and applied research in the domains of Automatic Speech Processing (ASR) in noisy environments, biosignals-based modeling of cognitive states (attention, memory, emotions) and machine learning. The respective research designs to be led by the CSL will include a mixed methods approach in collaboration with the other project partners. It is expected that the generated research outcomes will be published in several high-profile national and international conferences, as well as in peer-reviewed international journals.
The Early Stage Researcher (ECR) will be located and employed at the Cognitive Systems Lab at the University of Bremen (Germany). The selected candidate will be employed full-time as an Early Stage Researcher. The position is funded by the Federal Ministry of Transport and Digital Infrastructure (BMVI) with a salary based on the German employee scale TV-L 13 (100%).
Tasks: Based on state-of-the-art biosignals processing, speech recognition, and machine learning techniques, the tasks will include the development, implementation, and evaluation of algorithms that extract and select reliable, robust and discriminative features from the involved biosignals (including speech, EEG, and eye-tracking). The central aims are to achieve a robust (i.e., across laboratory and field-settings) real-time estimation of internal and external attention, as well as to overcome current challenges of ASR in noisy environments. The ECR will benefit from having an opportunity for close interaction with the more advanced researcher. As the tasks concerning attention -and speech processing require partially very similar and synergistic competences in machine learning and signal processing, there will be some flexibility in the distribution of individual sub-tasks, depending on the individual expertise and qualifications of the ECR, and a Post-Doc working on SmartHelm.
- Above average master degree in computer science or a closely related field
- Advanced knowledge and experience in at least one of the following research areas: machine learning, attention and memory, Augmented Reality, biosignal processing, speech processing
- Very good programming skills
- Very good communication skills and ability to work in a team
- Very good knowledge of English or German
Since the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. In case of equal personal aptitudes and qualification, priority will be given to disabled persons. Applicants with a migration background are welcome.
Deadline for the application is December 13th, 2019. Please send your application (including a CV, certificates, and a letter of motivation) to the contact given below, under the reference number A347/19.
Prof. Dr. Tanja Schultz & Dr. Dennis Küster
Cognitive Systems Lab
Informatik, Universität Bremen
Enrique-Schmidt-Straße 5, D-28359 Bremen, Germany
or by e-mail to: email@example.com
If you have any questions, please contact Dr. Dennis Küster via e-mail (kuesterprotect me ?!uni-bremenprotect me ?!.de) or phone (+49-(0)421-218-64266).
Erstellt am 29.11.19 von Alexandra Gutherz