Openings at ME

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PhD position in tensor-based machine learning for epileptic seizure prediction

Opening for: PhD student

On the DeTAIL project, we have a PhD vacancy: Epileptic seizure prediction using tensor-based supervised learning

Despite ongoing research efforts involving academia and industry in large international collaborations, epileptic seizure detection and especially prediction is still an unsolved problem. The key to the solution may lie within ultralong-term, real-life datasets that are currently being generated using wearable sensors. The most promising datasets include multiple sources of relevant information besides brain activity, such as cardiac activity, motion, or the circadian rhythm. The goal of your research is to find suitable methods to 1. Combine multichannel EEG and other data modalities 2. Learn the non-linear mapping between the different modalities and the non-linear separation between classes 3. Forecast seizures and at the same time quantify the uncertainty of a prediction.

The research will be carried out in close collaboration with 3 other PhD students in the lab, working on

1. Tensor-based source separation of functional ultrasound data
2. Large-scale tensor-based kernel methods
3. Learning nonlinear dynamics from uncertain data with tensors

Requirements

• An MSc degree in an engineering discipline relevant to PhD research.
• Demonstrated competences in one or more of these categories: numerical linear algebra, statistics, machine learning, signal processing, biomedical engineering, or another relevant field.
• An affinity with teaching and guiding students.
• A proven record and interest in further developing your modelling, programming, analytical and scientific writing skills.
• An affinity with biomedicine and neuroscience.
• Proficiency in expressing yourself verbally and in writing in English.
• The ability to work in a team, take initiative, are results oriented and systematic

To apply, please follow the process indicated on the formal vacancy announcement.

Contact

dr. Borbála Hunyadi

Assistant Professor

Signal Processing Systems Group

Department of Microelectronics

Related project

Delft Tensor AI Lab

Tensor-based AI methods for biomedical signals

More information

Additional information

In The Netherlands, almost all PhD positions are linked to funded research projects. This has several implications:

• PhD students are employed: they receive a salary rather than a grant. Most projects have a duration of 4 years.
• Positions become available once a project is funded. This can happen at any time during the year.
• It typically takes 6 to 9 months for a project proposal to receive funding. In this period, a position may be anticipated but the outcome remains insecure. Once a project is funded, the open position needs to be filled as soon as possible.

If you are interested in our research, it merits to inquire whether openings will be available. We collect resumes of prospective PhD students throughout the year, for each of our research tracks.

General requirements

We make our selection based on the following general requirements:

• Formal requirements regarding prior education: you should have earned an MSc degree at a recognized institute for higher education.
• Background: you should have a background that fits the requirements of the project
• Excellence: your Grade-Point-Average should be above 8 (10). Also your MSc thesis should have received a grade above 8 (10).
• English: you should be able to communicate well in english (written and oral). Provide TOEFL/IELTS scores if available.
• Originality: your MSc thesis or later work (publications) should reflect some original ideas. Critical and independent thinking is very important.
• Team player: you should be able to work well in a team of other project members.

Your resume should contain contact information of prior advisors/supervisors who can provide feedback.