Part-time assistant in Social Neuroscience & Machine Learning - DTU Compute

Part-time assistant (15 hours/week) to help out with experimental data collection and data analyses, using EEG, heart rate monitoring, and recording of speech and behavioural signals across social interaction experiments.
We are hiring a part-time (15 hours/week) student research assistant to help out with experimental data collection and data analyses, using EEG, heart rate monitoring, and recording of speech and behavioural signals across social interaction experiments.

You will primarily be involved in working within the social interaction and neuroscience (SINe Lab) group. SINe lab is based within the Section for Cognitive Systems, which is a lively and research oriented group of scientists and support staff with a broad interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems.

Responsibilities and qualifications
You will be responsible for running various social interaction experiments involving e.g., non-verbal communication, conversation, and exchange of various signals; preprocessing behavioural and neural (EEG) signals; and implementing machine learning methods.

You should be an MSc student with a background in machine learning, and experience with human data collection.

The successful candidate should possess:

• excellent interpersonal skills, which are required to work with others, in a friendly and interdisciplinary environment
• experience with running experiments with human participants, particularly joint action studies
• experience with EEG signal processing and analysis
• experience with applying machine learning to EEG data
• programming skills in Python

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations or other relevant collective agreement.

The position is available from1 February 2025 or according to mutual agreement, and is a part time position (15 hours/week).

Application and contact
Please submit your online application no later than 24 January 2025 (23:59 Danish time).Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam certificates.

If you would like additional information about the position, please contact Associate Professor Ivana Konvalinka ([email protected]), DTU Compute, https://sinelab.org.

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

DTU Compute
DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, cognitive science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance. Read more about DTU Compute at https://www.compute.dtu.dk.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Adresse:

Richard Petersens Pl.
2800 Kgs. Lyngby