Sano Postdoc: Machine self-learning from self-reported data using knowledge graphs

Location Krakow
Employment type Full-time
Region / State / Province małopolskie
About job:

Project title: Machine self-learning from self-reported data using knowledge graphs

Publication date: 19.11.2021

Closing date: 31.12.2021

Level of education: PhD

Hours: 40 hours per week

Salary indication: up to 12000 PLN gross monthly

Supervisor:

Sano: Dr. Jose Sousa (Research Group Leader)

Project period: 2 years (e.g. January 2022 - January 2024)

Humans’ behaviour is at the centre of the capability of Personal Health Data Science to impact evidence-based outcomes with self-reported data as a fundamental asset for that evidence. However, its use within machine learning processes is challenging, because self-reported data is noisy, volatile, and diverse while actual machine learning algorithms need clean, classified, and homogenous data, preferably in a silo, and within a single dimension approach.

The challenge for machine learning is then to be able to use self-reported data to allow a better understanding of individual health in a process from population to the individual. To use this data, we will focus on developing machine self-learning algorithms that overcome the human need to classify data and to build this we are going to start from knowledge graphs produced using machine self-learning capable to describe diseases, such as diabetes, obesity, dementia, or aged related macular degeneration (AMD) and aim for the development of a machine self-learning approach to support personalized decision making.

This would allow the development of policies and frameworks fitted to change behavior which is a central element to reduce the burden of these diseases on the health care systems. With this project we will develop the machine self-learning algorithms to create personal evidence on individual multiple long-term conditions (MLTC) also known as multimorbidity’s.

This project will be carried out in cooperation with machine learning and AI scientists at SANO and its partners and by developing external collaborations with Krakow health providers and with UK and Portuguese Universities.

What are you going to do?

You are expected to:

  • do original research under the direction of one of Research Group Leaders;
  • publish your work in peer-review journals and present during national and international conferences;
  • co-mentor junior scientists – PhD students and MSc students.
Our offer:

Required background and skills of the candidate:

  • recent or pending PhD in relevant field, preferably computer science;
  • at least one first-author research publication in a peer-reviewed scientific journal, top conference or currently in press (e.g. Neuroimage, Nature Methods, Nature Communications, Nature Scientific Reports, PloS, IEEE TMI, ...);
  • excellent written and oral English communication skills;
  • 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.
Our offer:

We offer a fixed term contract for 40 hours per week for the duration of 2 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 12000 PLN gross per month, based on a full-time contract (40 hours a week) for the duration of 2 years with private medical care and a sports card.

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 Wednesday, November 24, 2021