Master of Science/in Engineering Project in Modelling and Simulation (Stipend)

Modelling the Dynamics of Inhibitory and Excitatory Neurones

Give us a chance to meet you

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.

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 institute on a global level.

As a cross-disciplinary institution, Sano uses machine learning/artificial intelligence (ML/AI), large scale computer simulations (HPC), 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.

We value:

  • Passion – Passion in what we do, engagement in Sano operations, taking responsibility, providing initiative, being happy at work.
  • Innovation – Boldness in articulating and pursuing novel ideas, courage to think outside the box.
  • Integrity – Directness, openness, tolerance and respect. Scientific integrity (we do not cut corners).
  • Diversity – Diversity in backgrounds, cultures and opinions of Sano employees. Promotion of women in STEM.

We are looking for passionate, motivated graduate candidates willing to set a foot at the frontier of computational science for medicine— your research will help to propel development of new healthcare solutions, methods and paradigms. We are a rapidly expanding Team within a new not-for-profit research Institute, dedicated to the advancement of computational physiology and medicine. We aim at developing fundamental and applied approaches and solutions for the prevention, diagnosis, and treatment of diseases. If you i) are a person who is interested in cutting-edge research in computational medicine; ii) are passionate about the use of computing paradigms in medicine; iii) want to actively and profoundly influence the future of healthcare through engagement in exciting and impactful projects; please contact us and talk to us in order to find out more about this opportunity.

Your project will entail modelling the dynamics of a network comprising both the inhibitory and excitatory neurones. Understanding the organisational principles
underlying networks in the brain, which appear at different scales – from those involving synapses and gap junctions that connect individual neurones to tracts that link large brain regions – and their potential role in shaping the functional dynamics of the nervous system is one of the most exciting challenges in neuroscience. The human brain is composed of billions of neurones, which are classified as either excitatory or inhibitory. These are connected in intricate arrangements, generating complex collective activity that results from the stimuli they are subject to, as well as, their connection topology. The networks in the brain, in common with those seen in many other complex systems, are seen to have modular organisation. It is a fundamental mezoscopic design principle for networks and is characterised by relatively high density of connections between neurones occurring in the same module and sparse connections between those belonging to different modules. 

While the structural signatures of modular neuronal networks have been studied, little is known about the precise role played by such complex network architecture, e.g., in generating spontaneous, self-sustained network activity. Such persistent activity patterns which are sustained even in the absence of external stimulus, are considered to occur as a result of balancing excitation and inhibition in the network which prevents runaway excitation (due to high excitation) on one hand and quiescence (due to excess inhibition) on the other. Your work will aim at elucidating the dynamic properties of persistent activity arising in networks of neutrons with a certain fraction of inhibitory neurones — the range of the persistent activity observed is considerably enhanced by modular organisation of the connection topology. We expect you —after obtaining required computational and theoretical insights — to provide answers to the fundamental reasons for this observed phenomena. 

You will join the Team dedicated to the discovery of mechanisms, methods and paradigms for the development of computational methods pertaining to making biophysical complexity tractable. By doing your Master of Science/in Engineering project you will contribute to turning scientific vision into tangible solutions for clinicians and patients. You will either engage in fundamental theoretical research with a clear applied facet —or you may prefer to draw from theory in developing methods. Output of your highquality research will be disseminated at A grade conferences and published in peer-reviewed journals. 

If you i) enjoy learning; ii) enjoy science; iii) want to do something meaningful in life, then you are the kind of person we would like to talk to.

You are expected to:

  • conduct original, frontier scientific research, under the supervision of Dr Zbigniew R. Struzik, the Team Leader, and the (co-)supervisor at your Academic Institution;
  • participate in internal seminars and workshops at our Institute;
  • follow an individual plan of scientific development;collaborate with students, researchers and other employees of the Institute;
  • complete your Master of Science/in Engineering Thesis.

As our successful candidate you should have:

  • undergraduate degree – BSc, BEng, preferably in Physics, Mathematics, or Computer science;
  • interest in pursuing theoretical and/or applied computational research in the fields of computational physiology and medicine in a multi-disciplinary environment;
  • excellent knowledge of computational methods;
  • ability to think creatively and critically;
  • excellent written and oral English communication skills — the main language of the Team is English — no knowledge of other languages is required.

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 of courses, trainings and internal research meetings. The research will be conducted in close collaboration with the Team Leader, Dr Zbigniew R. Struzik.

You will receive a stipend of up to 2500 PLN gross monthly for the duration of the contract. Our Institute offers excellent opportunities for study and development, participation in Polish and international projects, meetings, workshops and conferences in computational biomedicine — a possibility to grow in the scientific society.

If you feel that this job opportunity is the career that you are looking for, please apply immediately and give Sano a chance to meet you. Please, be informed that Sano will contact only with Candidates fulfilling the formal criteria.

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 curriculum vitae;

Apply through Sano recruitment system. If you would like to apply for future openings feel free to send your application to our database.​