Sano MSc Project - Project title: MRI data segmentation with deep learning using large-scale computing

Location Krakow
Employment type Stipend contract
Region / State / Province małopolskie
About job:

Sano MSc Project

Project title: MRI data segmentation with deep learning using large-scale computing

Publication date: 01.07.2022

Closing date: 22.07.2022

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

Supervisors:

Dr. Maciej Malawski (Extreme Scale Data and Computing Research Group Leader)

Dr. Tomasz Pieciak (Universidad de Valladolid, Spain).

Degree awarding institution: AGH

Project start: August 2022

The project aims to develop the MRI data segmentation pipelines using deep learning methods. The project will focus on developing, testing and describing various techniques of introducing the proposed pipelines at a large scale. The project will be based on the recent solutions for the brain tissue segmentation and the large public datasets. Due to the complexity of the algorithms and the size and number of used cases, all computations will be conducted using supercomputers available in Cyfronet AGH infrastructure.

Project in collaboration with Dr. Tomasz Pieciak (Universidad de Valladolid, Spain).

Study at Sano

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!

What are you going to do?

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.
What do we require?

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;
  • skill of working with large-scale data;
  • advanced understanding of MRI is necessary;
  • excellent written and oral English communication skills.
Our offer:

We offer a stipend contract until the end of academic year 2022/2023 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.

Last modified Friday, July 1, 2022