Postdoc in Group Social Cognition - DTU Compute

Are you interested in uncovering the mechanisms underlying group social cognition and interaction? We invite applications for an appointment as a postdoc in group social cognition.
Are you interested in uncovering the mechanisms underlying group social cognition and interaction?

We invite applications for an appointment as a postdoc in group social cognition. The position is funded by the Carlsberg Semper Ardens grant titled “Self, other, and we: mechanisms and dynamics of self-other integration in social observation and interaction”.

You will primarily be involved in working within the social interaction and neuroscience (SINe Lab) group, with the aim of understanding self-other integration behavioural and neural dynamics during group interactions.

You will be 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 designing and running experiments investigating self-other integration in group interactions, analyzing behavioural and neural (using EEG) signals including interpersonal and inter-brain dynamics, and disseminating the results at international conferences and by publishing in peer-reviewed journals.

As a formal qualification, you must hold a PhD degree (or equivalent). We are looking for a candidate with a background in neuroscience/biomedicine and machine learning.

The successful candidate should possess:

• excellent interpersonal and collaboration skills, which are required to work with others, in a friendly and interdisciplinary environment
• a passion and dedication to solve hard problems in joint action and group social cognition research
• experience with designing and running joint action studies
• experience with analyzing dynamics of two- or more persons’ data during social interaction (e.g., movements, EEG)
• programming skills in Python
• previous experience with hyperscanning-EEG techniques

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. The allowance will be agreed upon with the relevant union.

The period of employment is 2 years. Starting date is 1 December 2024. The position is a full time position.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Associate Professor Ivana Konvalinka ([email protected]), DTU Compute, https://sinelab.org.

You can read more about DTU Compute at www.compute.dtu.dk.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application procedure
Your complete online application must be submitted no later than 17 October 2024 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications
• Attached co-authored article or preprint in which hyperscanning-EEG methods were employed

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.

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.

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.

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