Are you passionate about machine learning and neuroimaging?
DTU Compute’s Section for Cognitive Systems invites applications for a 3-year PhD position.
To date, most successful applications of deep learning in signals and decoding are based on supervised learning. However, supervised learning is contingent on the availability of labeled data, i.e., each sample has a semantic annotation. The need for labeled data is a serious limitation to bio-medical applications at scale and complicates the maintenance of real-life neuroimaging systems. Here we will combine international open source EEG (electric brain wave) data with local, high quality labeled data.
The typical situation is that unlabeled data is abundant, and this has given rise to paradigms such as semi-supervised and self-supervised learning (SSL). Both directions in SSL are based on combining large amounts of unlabeled data with limited labeled data. While semi-supervised learning invokes generative models to learn representations that support learning with few labels, SSL is based on supervised learning with a supervisory signal derived from the data itself.
This scholarship is funded by the Pioneer Centre for AI’s collaboratory, Signals and Decoding. The Pioneer Centre for AI is located at the University of Copenhagen, with partners at Aarhus University, Aalborg University, The Technical University of Denmark, and the IT University of Copenhagen. There will be a cohort of PhD students starting during the fall of 2023 across the partner universities. PhD students at the Pioneer Centre for AI will have extraordinary access computing resources, to international researchers across many disciplines within computer sciences and other academic areas, as well as courses and events at the centre, and meaningful collaboration with industry, the public sector, and the start-up ecosystem. Centre website: Aicentre.dk.
Responsibilities
During this PhD program, you are expected to:
- Expand on the emerging theoretical and experimental understanding of SSL
- Focus on a application of SSL in EEG based brain state decoding
- Publish scientific papers and present research results in top AI conferences (NeurISP. ICML, ICASSP etc) and neuroimaging journals (Neural Computation, Neuroimage etc)
- Do research during the PhD program at other units of the Pioneer Centre and abroad.
- Work as a teaching assistant in courses at DTU
Qualifications
Candidates should have the following required skills:
- A master’s degree (120 ECTS points) or a similar in Computer Science, Informatics, Computer Engineering, Applied Mathematics or equivalent
- Proven experience in Python
- Hands-on experience with deep learning frameworks
- High level of motivation and innovation
- Excellent written and communication skills in English
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU’s rules for the PhD education.
Assessment
The assessment of the applicants will be made by Profs. Lars Kai Hansen (DTU) and Zheng-Hua Tan (Aalborg).
We offer
A productive PhD study within the rich and vibrant research environment of the Danish Pioneer Centre for AI.
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 appointment terms
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 position is a full-time position. The period of employment is 3 years; start in second half of 2023.
You can read more about career paths at DTU here.
Further information
If you have questions, you are very welcome to contact Professor Lars Kai Hansen at lkai@dtu.dk.
You can also read more about DTU Compute, our PhD projects and more here.
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.
Application procedure
Your complete online application must be submitted no later than 2 April 2023 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link “Apply online”, fill out the online application form, and attach all your materials in English in one PDF file. The file must include:
- A letter motivating the application (cover letter)
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma including official description of grading scale
Please note that you may apply prior to obtaining your master’s degree but cannot begin before having received it.
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability, 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, 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 13,400 students and 5,800 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.
Deadline: 2023-04-02 at 23:59
Unit: dtu
Read the job description at the university homepage or apply.
Post expires on Sunday April 2nd, 2023