Postdoc in the field of Machine Learning methods applied in medical diagnostics

The Faculty of Physics of ITMO University is a creative synergy of professors, ambitious researchers and students. Our team began as a small laboratory and has grown into a large scientific center in 10 years of collaborative work. Today, we work in advanced research areas and implement relevant educational programs. We value personal growth, teamwork and academic freedom. Our Faculty is a supportive environment for the implementation of your most bold and ambitious ideas.

We are looking for a Machine Learning expert who will take part in several research projects at our Faculty. The biggest one is "Promising quantitative technologies in magnetic resonance imaging for determining the stages of inflammation and fibrosis as disease markers." The main goal is to develop quantitative MRI methods and provide translational support for their use in clinical practice. One of the tasks in the project is to develop post-processing methods based on deep learning to derive quantitative metrics from MR images.

Responsibilities:

• leading and organizing work on the implementation of machine learning methods for solving scientific problems in medical diagnostics;
• supervising Master’s students and PhD students;
• publishing scientific papers;
• giving talks at conferences;
• applying for grants, both individually and together with colleagues;
• participation in educational activities;
• active participation in the life of the Faculty, organization of summer schools and events for students and PhD students.

Requirements:

• A PhD degree (or a Russian Candidate of Sciences degree in physics and mathematics or engineering);
• PhD thesis and publication activity in the area of automated image processing and analysis;
• experience in deep learning analysis of medical images (experience of work, for example, with Python and related libraries (scikit-learn, TensorFlow, PyTorch, Keras, scikit-image)), and experience of work with MATLAB, R, ITK-SNAP;
• experience of preparing data samples for creating tools based on machine learning methods;
• experience of work in projects/startups related to the application of machine learning in medicine/natural sciences for at least 2 years;
• experience of presenting at conferences;
• recommendations from the leader of the team (where the applicant worked on their PhD thesis, or from the previous job);
• knowledge of English: B2 (Upper-Intermediate) or a higher level;
• information analysis skills and decision-making skills;
• proactive approach;
• well-developed communication skills.

This would be an additional advantage:

• publications in high-rated journals (IF > 3), including as a first author;
• education in the area of medical physics;
• patents;
• experience in submitting for grants and managing grants;
• personal scholarships, awards, short-term exchange programs;
• experience of teaching or supervising students in research;
• working experience abroad.

Conditions:

• friendly young team;
• interaction with acclaimed experts in subject areas;
• strong collaboration with leading experts in medicine;
• continuous development and growth;
• opportunity to propose new ideas and be heard;
• corporate English classes for the employees;
• work in the historic center of St. Petersburg;
• annual paid leave;
• the opportunity to learn new skills, both at the courses and internships at ITMO University and in external organizations;
• holidays in the corporate recreation center, activities and events for employees and their children, etc.