Research Associate / PhD student (m/f/d) for Real-Time Data Analysis and Predictions: From EEG Sleep Data to Personalized Auditory Stimuli (Lullabyte EU project)

Research Associate / PhD student (m/f/d) for Real-Time Data Analysis and Predictions: From EEG Sleep Data to Personalized Auditory Stimuli (Lullabyte EU project)

The Scientific Computing group of Prof. Dr. Dirk Pflüger is offering a fully-funded position for initially 36 months on real-time aspects of personalized music for sleep, starting ideally April 1, 2023. As it is part of the EU Marie Skłodowska-Curie Doctoral Network “Lullabyte”, the salary is calculated according to MSC regulations. Project description
Little is known about the effects of music and sound on sleep. The Lullabyte network will therefore combine the expertise of 10 excellent European institutions, bringing together the fields of musicology, neuroscience, psychology, and computer science. This creates a strong interdisciplinary and international network of researchers and leading non-academic partners, providing basis for cutting edge research and innovative training tailored to the special needs of this interdisciplinary field of music and sleep. Based on our research in Stuttgart, you will focus on novel dynamic and efficient methods on generating and analizing music for sleep. You will develop new algorithms (including machine learning) for the analysis of EEG sensor data and the generation of auditory stimuli that are suited for real-time use; and you will provide efficient implementations to close the loop between musical stimuli and EEG observations to be able to personalize auditory feedback during sleep in real-time in home settings. This project includes secondments (stays abroad) with Thomas Andrillion (Paris Brain Institute, France) for EEG data measurements and Kira V. Jesperson (Aarhus University, Denmark) for data acquisition and analysis.
Application deadline: 31st January, 2023. We are looking for

• An MSc graduate in Computer Science, Mathematics, Simulation Science, Data Science or related fields with strong musical skills, programming experience (preferably C++ and Python) and strong mathematical expertise. Experience in machine learning / artificial intelligence, the analysis of EEG data or parallel programming are an asset.
• Proof of English proficiency, as communication and teaching language throughout Lullabyte is English (e. g. TOEFL or similar test, not for native speakers). Basic written and verbal communication skills in German are welcome, but not required.

What we offer

• We offer the possibility to study and work in an inspiring interdisciplinary and collaborative research environment in the dynamic group of Scientific Computing and at the University of Stuttgart together with its international partners. The University of Stuttgart represents outstanding, world-renowned research and first-class teaching in one of Europe's most dynamic industrial regions. It is proud of its interconnected disciplines.
• The University is a certified family-friendly university and offers a Dual Career Service.
• A postgraduate education within the vast offers of the Graduate Academy of the University of Stuttgart and the Lullabyte Network.

Admission Requirements

• Applicants must not already hold a doctoral degree at the date of recruitment.
• The successful applicant (Doctoral Candidate) must be enrolled in a doctoral programme leading to the award of a doctoral degree.
• According to the MSCDN regulations, applicants must not have resided or carried out their main activity (work, studies, etc.) in Germany for more than 12 months in the last 3 years immediately prior to the date of recruitment.

Please send your application by latest January 31, 2023 in a single PDF file (up to 10 MB) to Prof. Dr. Dirk Pflüger, Scientific Computing, Institute for Parallel and Distributed Systems, Universitätsstr. 38, 70569 Stuttgart, Germany, SC@ipvs.uni-stuttgart.de. You can find the Public key for the secure mail transmission at:
https://www.ipvs.uni-stuttgart.de/departments/sc/contact.
Information in accordance with Article 13 DS-GVO on the processing of applicant data can be found at:
https://careers.uni-stuttgart.de/content/privacy-policy/?locale=en_US. Applications must include an academic CV, including relevant professional experience and knowledge; a letter of motivation with a brief description on max. 2 pages of why you want to pursue research studies, your academic interests, and how they relate to your previous studies and future goals; copies of degree certificates and transcripts of records from Bachelor/Master; certificates of language requirements; names of potential academic referees.