Sano PhD Student

Applications of machine learning and deep learning in medical imaging and digital pathology

Give us a chance to meet you
  • About us:

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.
  • About job:
  • Project title: Applications of machine learning and deep learning in medical imaging and digital pathology
  • Closing date: 1.08.2022
  • Level of education: Master's degree
  • Hours: 40 hours per week
  • Salary indication: up to 8000 PLN gross monthly
  • Project start: August 2022

Supervisors:

  • Sano: Dr. Arkadiusz Sitek

Degree awarding institution: AGH

Imaging technology used in medicine made enormous progress in recent decades and is now commonly used to detect, diagnose, and monitor almost all diseases. With increasing sophistication of the technology the amount of data being produced in medical imaging is staggering. Despite the progress in technology and the quality of imaging data being produced, the interpretation is still done predominantly by radiologists – an approach that has not significantly changed in decades. All healthcare systems experience a shortage of qualified radiologists. Substantial workloads contribute to potential misinterpretations, long waiting times for results, radiologist burnouts, etc.

The goal of the thesis is to develop machine learning techniques that would assist radiologists in their work. This includes worklist prioritization, image quality improvements, automatic interpretation, missed/incidental findings, automatic measurements, etc. Multimodal machine learning, deep learning, radiomics, and classical image and signal processing algorithms will be used. This work will be done with a close collaboration with radiologists and/or other physicians who will advise on clinical significance of the project.

  • What are you going to do?

You are expected to:

  • do original research in this field under the direction of the supervisor;
  • participate in the many seminars by internal and external speakers as well as journal clubs and group activities;
  • collaborate with other PhD candidates, postdoctoral researchers and other Sano employees;
  • learn and enjoy your time in Sano.
  • What do we require ?

Required background and skills of the candidate:

  • Master’s degree (completed or near completion) in a relevant discipline, such as computer science, biomedical engineering, etc;
  • experience in Machine Learning frameworks and tools;
  • excellent programming skills in Python;
  • any prior research experience in academia or industry;
  • an interest in pursuing applied research;
  • excellent written and oral English communication skills.

 

  • Our Offer

We offer a fixed term contract for 40 hours per week for the duration of 4 years. This will be supported by an educational plan that includes attendance of courses and (international) meetings. The contract will include opportunities to participate in teaching and supervision of undergraduate and master students.

The salary, depending on relevant experience before the beginning of the employment contract, will be up to 8000 PLN gross per month, based on a full-time contract (40 hours a week) for the duration of 4 years with private medical care and a sports card.

This PhD will be a collaboration between Sano and a degree awarding body (Warsaw Institute of Technology or AGH). The student will be based in Poland, Krakow operating in conjunction with the Cyfronet supercomputing centre hosted by AGH.

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.

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.

  • Job application

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;
  • a curriculum vitae;
Apply for a job

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