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.
Federated learning is a technique which allows training machine learning models in a distributed way without transferring the data from its source. It has thus potential applications in medical image analysis, where privacy and security issues are of great importance. Although there are examples of using federated approaches to analysis of medical images, there is still need for research in this area and for experiments in distributed environment.
The goal of the thesis will be to apply federated learning techniques to the problem of medical image segmentation. We plan to use public datasets such as echocardiography, coming from multiple sources. The analysis will be performed using distributed computing frameworks such as Flower or FedML, using distributed computing infrastructures such as PL-Grid or a public cloud service. In addition to evaluation of the learning process, the goal will be also to evaluate the performance of distributed computing environment. Further study will include also possible attacks and security of the developed solution. Other types of data and machine learning tasks can be considered for comparison as well.
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:
As our successful candidate you should have:
We offer a stipend contract for the duration of 2021/2022 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.
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:
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