What you will do
In the context of human-centered AI (systems that understand human properties like intention and behaviour) and neurofeedback (measuring brain signals and allowing a participant to manipulate them), you will conduct academic research on Machine Learning techniques to study EEG and fNIRS data.
You will develop new methodologies for time series analysis and dimensionality reduction.
You will develop algorithms for intelligent neurofeedback to optimise the interaction of a person with its environment. These algorithms will be based on recurrent neural networks, markov models, and other sequential models.
You prepare a PhD dissertation on Machine Learning approaches for analyzing neuro-imaging data, such as EEG and fNIRS data. You will be supervised by prof. Steven Latre and dr. Jannes Nys.
You publish and present results both at international conferences and in scientific journals.
You interface and collaborate on a technical level with research partners.
- The Internet & Data Lab (IDLab) is an imec research group at the University of Antwerp and Ghent University. IDLab focuses its research on internet technologies and data science. IDLab is a joint research initiative between Ghent University and the University of Antwerp. Bringing together 300 internet experts, we develop technologies outperforming current solutions for communication subsystems, high speed and low power networking, distributed computing and multimedia processing, machine learning, artificial intelligence and web semantics. Within Antwerp, the overall IDLab research areas are machine learning and wireless networking. IDLab has a unique research infrastructure used in numerous national and international collaborations.
- IDLab collaborates with many universities and research centres worldwide and jointly develops advanced technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SME’s, as well as numerous ambitious startups).
Who you are
- You have (or will receive within a few months) a Masters of Science degree, preferably in Mathematics, Physics, Computer Science, Engineering, or related fields.
- A strong interest in neuroscience and machine learning are a must.
- You have a keen interest in time series analysis and neuroscientific data, such as EEG and fNIRS.
- Having published in high-ranking conferences and journals in the field is an advantage.
- You are well-organized and able to autonomously plan and execute tasks.
- You are a team player and have strong communication skills.
- Your English is fluent, both speaking and writing.
If you are interested in this position, please apply at: https://jobs.idlab.uantwerpen.be/o/phd-vacancy-for-machine-learning-for-neurofeedback-applications
Questions concerning the position can also be sent to email@example.com.