Data abstractions as the foundation of machine self-learning from different data sources

Sano PhD students

Give us a chance to meet you

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.

Closing date: 31.01 2022
Level of education: Master's degree
Hours: 40 hours per week
Salary indication: up to 8000 PLN gross monthly
Project start: January 2022 (depending on candidate’s availability)

Supervisors:

Sano: Dr. Jose Sousa (Research Group Leader – Personal Health Data Science)

Data is at the forefront of any process of decision making, as if there was any doubt, the actual pandemic made it clear. Data collection happens every day with individual contribution from browsing keywords to the sharing of images and feelings. This created a promised that if you collect enough data to generate big data, machines will be able to model the world and provide unique insights. However, the reality is not perfect and collecting “all the data” to describe a problem is impossible within a chaotic reality. One of the most promising approaches to the development of personalized medicine became siloed in machine learning applied to single diseases because of the difficulty on accessing and integrating data sources. This is closed related and defines the evolution of the actual approaches on machine learning.

Within this PhD, algorithms will be built to develop data abstraction in the local systems and upload them to the machine self-learning environment. This would allow the integration of different data sources in a way not done until now allowing the evolution of machine learning.

The project will be carried out in cooperation in computer scientists and machine learning from Sano and its partners and data sources providers such as polish hospitals and develop collaborations to explore data repositories in the UK and in Europe.

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.

Required background and skills of the candidate:

Master’s degree (completed or near completion) or 1st Class undergraduate Honours degree in a relevant discipline such as computer science, engineering, robotics, computer graphics, bioinformatics, etc.;
knowledge of machine learning and deep learning methods;
knowledge of cloud technologies as desirable;
knowledge of big data frameworks such as Hadoop or Spark as desirable;
excellent programming skills (Python) and/or R;
knowledge of SQL with NoSql as desirable
prior academic or industry research experience;
interest in pursuing applied research;
excellent written and oral English communication skills.

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.

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.

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;

Sano PhD students