Postdoc in Multi-Modal Behavioural Modelling - DTU Compute

DTU - Technical University of Denmark; Kongens Lyngby; On-site; DKK 420,000 - 540,000; Full time

Job summary

DTU Compute is seeking a postdoctoral researcher to build multi-modal models for mental health in a Danish context. You will collaborate with a hospital department, startups, and Alexandra Institute on foundational models using wearables, speech, and video.

You will conduct computational research, disseminate findings, and work with partners across hospitals and companies in an international DTU environment.

Qualifications

• Excellent research skills in machine learning and related areas.
• Interest in mental health applications.
• Outstanding interdisciplinary collaboration and project management skills.

Responsibilities

• Data collection activities.
• Data annotation activities.
• Developing novel models for multi modalities (wearables, speech, and video).
• Pursuing aims of making foundation models more representative.
• Modelling data from mental health applications with clinicians.

Skills

ML research

Data collection

Data annotation

Interdisciplinary collaboration

Mental health applications

Education

PhD degree

Job description

Job Description

If you are looking to establish yourself as a researcher in the cross-disciplinary fields of machine learning and mental health, this postdoc position is for you.

At DTU Compute you will focus is on building multi modal models for mental health applications in a Danish context. You will collaborate with a mental health department at the hospital (Region H), startup companies, as well as Denmark’s AI research and development house, Alexandra Instituttet. Our joint grand solution project is providing foundational models (wearables, speech, video) for behavioural modelling across several mental health applications.

Responsibilities And Qualifications

• Data collection activities
• Data annotation activities
• Developing novel models for multi modalities, herein wearables, speech, and/or video
• Pursuing the aims of making foundation models more representative.
• Modelling data from mental health applications in collaboration with mental health experts
• Conducting computational research experiments and disseminating these in research papers
• Good collaborations with project partners (incl. hospitals and companies)

We are looking for you with

• Outstanding interdisciplinary collaboration skills
• Good organizational/project management skills
• Excellent research skills in machine learning and an
• Interest in mental health applications

As a formal qualification, you must hold a PhD degree (or equivalent).

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. In addition, supplements can be negotiated in accordance with DTU’s salary structure for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures.

The period of employment is 22 months. Start date is according to mutual agreement. 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 Line Clemmensen, [e-mail].

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.

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 – Department of Applied Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply, and life science. We collaborate with universities, public and private organisations, and companies in Denmark and abroad, and through DTU’s startup ecosystem, we encourage innovation and entrepreneurship. We have a strong ethical, human, and sustainable approach that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value diversity, inclusion, and a flexible work-life balance. Read more here: www.compute.dtu.dk.

DTU – For the benefit of society since 1829. DTU is one of Europe's leading elite technical universities. Through research and education at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.