Epilepsy seizure detection and dynamical brain connectivity via machine learning

Sano MSc Project

Give us a chance to meet you

Project title: Epilepsy seizure detection and dynamical brain connectivity via machine learning
Publication date: 25.07.2022
Closing date: 15.09.2022
Level of education: Undergraduate (BSc, BEng)
Hours: approx. 16 working hours per week/40% FTE
Salary indication: stipend for up to 2500 PLN gross monthly
Sano Supervisor: Dr. Alessandro Crimi (Computer Vision Data Science Research Group Leader)
Sano Supervisor: Dr. Maciej Malawski (Extreme Scale Data and Computing Research Group Leader)
Degree awarding institution: AGH
Project start: September/October 2022

In this project we want to address several questions related to epilepsy. As detection of seizures given a neonatal EEG dataset, with the hope that previous triggers can be identified.

Lastly, analysis of dynamical brain connectivity given by creating multi dimensional graphs will be useful. The focus is mostly on machine learning and complex networks, though knowledge of signal theory (given the EEG data) will be useful. The project will be within a series of larger projects carried out within the lab focused on brain disease and wearables.

Postgraduate study can be a great opportunity to gain advanced training, new skills and in-depth subject knowledge. If you’re thinking about a scientific career, you’re interested in computational medicine and are looking at various options, Sano might be the perfect place for you.

Sano is a new nonprofit research institute dedicated to the advancement of computational medicine, developing sophisticated computer methods for the prevention, diagnosis and treatment of disease, to meet the overarching worldwide need for efficient, effective and streamlined healthcare.

We recognize that it is all about the skills of people involved in the project, to develop Sano into the world-class research centre for advanced computational medicine.

We’re looking for the best people around and invite all students interested in applied research within computational medicine to apply. The MSc programme at Sano is aimed at providing the next generation of healthcare technology innovators with unique skills.

By applying, you will let us know about your interest in education at Sano. We’re looking for students to work at all our Research Groups – Healthcare Informatics, Computer Vision Data Science, Modeling and Simulation, Clinical Data Science, Personal Health Data Science and Extreme-Scale Data and Computing.

We’re waiting for you!

You are expected to:

do original research under the direction of your supervisor;
participate in the many seminars by internal and external speakers as well as journal clubs and group activities;
collaborate with students, researchers and other Sano employees. You will have the opportunity to co-learn advanced coding techniques with the help of experienced scientific programmers and data scientists.

As our successful candidate you should have:

undergraduate degree – BSc, BEng or other, preferably in computer science or related field;
interest in pursuing applied research in a multi-disciplinary environment;
good programming skills in Python;

knowledge of more advanced libraries such as Pytorch/TensorFlow;
skill of working with large-scale data;
advanced understanding of EEG, neuroimaging and signal theory is an asset;
excellent written and oral English communication skills.

We offer a stipend contract for the duration of 2022/2023 academic year, and expect the student to work on the project for approx. 16 hours per week (40% FTE). This includes attendance in courses, trainings and internal research meetings. The research will be conducted in close collaboration with supervisors at Sano and AGH.

The student will receive a stipend of up to 2500 PLN gross monthly for the duration of the contract.

Sano offers excellent opportunities for study and development, an access to many international conferences on computational medicine and a possibility to grow in a scientific society.

Do you have questions about this vacancy? Or do you want to know more about our organisation? Please contact us at

Sano Centre for Computational Medicine is a new International Scientific Foundation located in Kraków, Poland.

Sano aspires to be a major translational scientific institute, operating at the meeting point of academic science, established MedTech industry, and emerging start-up environment, combining the best of these three perspectives.

Established with support from the European Commission and the Foundation for Polish Science, Sano aims to be a major driving force behind the advancement of computational medicine for the benefit of healthcare systems worldwide.

Sano acts as a core technology and expertise provider for industry, and creator of innovation, developing state-of-the-art solutions for healthcare. Thanks to the substantial funding and excellent European partnership network, Sano will bring a critical mass to this transformational field of research, in order to translate scientific advancements onto clinical practice. Sano’s ambition is to become the Reference Centre for Computational Medicine in Central Europe and build a reputation as a leading center on a global level.

As a cross-disciplinary institution, Sano uses machine learning/artificial intelligence (ML/AI), large scale computer simulations, data science, and other computational technologies towards overcoming global challenges in healthcare systems. The research agenda will be executed in close collaboration with Partners in Poland, EU and USA.

Sano is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity.

Do you recognize yourself in the job profile? Then we look forward to receiving your application.

Applications in .pdf should include:

a cover letter with an emphasis on your research interests;
a curriculum vitae;

Sano MSc Project