Sano PhD students

Project title: Generation and analysis of microscopy images compared to other modalities

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:
  • Closing date: 18.12.2021
  • Level of education: Master's degree
  • Hours: 40 hours per week
  • Salary indication: up to 8000 PLN gross monthly
  • Project start: January 2021

Supervisors:

  • Nencki Institute of Experimental Biology: Prof. Bożena Kamińska-Kaczmarek

  • Sano: Dr. Alessandro Crimi (Research Group Leader)

Deep learning and machine learning advancements have allowed not only to segment microscopy images but also lead to further improvements, as  denoise and increase resolution.

We would like to investigate the use of generative adversial networks to generate data further in microscopy context. 

The research will mostly focus on technical aspects of artificial neural networks used for microscopy.

Further clinical applications are foreseen, as multimodal and multichannel segmentation of stained biopsies, for example from Glioblastomas (GBM) tissues.

GBM is the common and aggressive primary brain tumors that are currently untreatable by conventional therapies or with short term effect from surgery.

Exploring and quantifying the antitumoral response of several inhibitor as arginase or other treatments can be achieved in a fast and efficient manner by using developed techniques. Moreover, a particular attention will be given to small sample size issues, which are still hindering the daily use of machine learning based techniques.

  • 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. 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 ?

Required background and skills of the candidate:

  • Master’s degree (completed or near completion) or 1st Class undergraduate Honours degree in a relevant discipline, including but not limited to computer science, biomedical engineering, physics, mathematics, data science, medical sciences;
  • python programming. Medical imaging experience (preferably in 3D or 4D). Machine learning, deep learning skills (e.g. Tensorflow);
  • knowledge in bioinformatics or the willingness to learn it;
  • excellent written and oral English communication skills;
  • additional assets: knowledge basic biology concepts of staining, familiarity with generative adversial networks.
  • 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 an external partner. The external partner will be the degree awarding body. The student will be based in Poland, 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;
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Apply through Sano recruitment system. If you would like to apply for future openings feel free to send your application to our database.​