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Application deadline: 20th of August 2020


Common responsibilities

  • Conducts high-quality research in the field of applications of Big Data and AI technologies to biomedical data;
  • Disseminates research findings, results and achievements within the research community, through publications and participation in academic conferences/journals;
  • Works with the Research Group Leader, to define new Master and PhD projects, holds interviews with candidates and co-supervise the students;
  • Understands application domain needs and devises possible solutions;
  • Plays a leading role in writing project proposals for internal and external research funding;
  • Builds effective collaborations with both GATE academic and industry partners at national and international level;
  • Engages in continuous professional development and keep up-to-date with latest Big Data and AI technology trends and their applications to biomedical data, is committed to professional development of his/her own career and acts as mentor for less experienced colleagues.


One or more of the following responsibilities

  • Explores, proposes and validates new methodologies for engineering of Big Data and AI pipelines for analysis of biomedical data and Data Science projects;
  • Researches and develops Digital Twins and designs a Digital Twin platform for modeling, simulation and visualization of Genetic and health records data;
  • Extends state-of-the-art standards and ontologies to cover GATE application themes and develop various data models of healthcare systems, etc.;
  • Proposes new solutions for storage and maintenance of Digital Twin models beyond the standard databases, dealing with various spatial and temporal scales of representations.


Skills, experience and qualifications



  • A PhD Degree in Bioinformatics, Biostatistics, Statistics, Computer Science, Software Engineering, Applied Mathematics, Information systems, Informatics, Data Science, AI or related field or a Master’s Degree in the same areas plus a minimum of 7 years industry-based relevant research experience;
  • Experience in analyzing data from microarray experiments, Next Generation Sequencing experiments, longitudinal studies or health records;
  • Advanced programming skills in Python, R, Java, C++ or other programming languages;
  • Research excellence evidenced via a portfolio of substantial contribution to the advancement of knowledge, research and development in the field of analysis of biomedical, genetic or similar data;
  • Significant research co-operations and collaborations;
  • Publications as a first or senior author;
  • Experience in conducting independent research, in relation to novel and/or complex ideas, which advances the research agenda, demonstrating ability for identifying research problems, opportunities, appropriate methodologies and approaches;
  • Vision, ambition, and passion for research, and a strong publication track record in top conferences and journals in the biomedical, Data Science, AI, ML, Computer Science and other relevant research fields;
  • Creative problem-solving skills to analyze and solve complex scientific and application domains problems;
  • Proven ability of building collaborative relationships internally, as well as at European and international level;
  • Experience in leading the execution of collaborative research projects in cooperation with colleagues and project partners and being capable of forming research consortia and ability to secure research funding;
  • A seasoned communicator able to present effectively the results and the broader implications and applications of their research to the research community and wider society;
  • Fluency in English is a must.


Experience with one or more of the following

  • Experience in utilizing Artificial Intelligence and Machine Learning methods;
  • Experience in utilizing HPC resources for performing large-scale computations;
  • Experience in development of multidimensional simulation data models;
  • Experience working with confidential and sensitive data for research;
  • Experience with large scale databases for data acquisition, ingestion and modelling.


How to apply:

To apply for these positions, please send to career@gate-coe.eu:

  • A CV detailing previous employments and qualifications
  • A Personal letter of 1-2 pages where you:

- Introduce yourself

- Describe your past participation in research and main research results

- Describe your future goals and future research focus.

  • Copies of diplomas for completed education.
  • Copies of other diplomas and certificates of qualification.
  • Copies of documents certifying past work experience in the relevant field.


By applying for these positions, you voluntarily provide your personal data and consent to be processed for the purpose of recruitment and selection of personnel. The processing of your personal data shall be carried out in accordance with the requirements of Regulation (EU) 2016/679 (General Data Protection Regulation), the Personal Data Protection Law and related legal acts in Bulgaria.


Stages of the contest:

  1. The Selection Committee reviews the documents, submitted by the candidates and selects those meeting the requirements of the job, as described in the job profile.
  2. Till 27.08.2020 online interviews will be held with the selected applicants.
  3. All interviewed candidates will be notified in writing. The successful candidate will be offered a labor contract.


For additional information., please contact:

Prof. Sylvia Ilieva, Director, GATE


e-mail: sylvia@fmi.uni-sofia.bg

tel.: 02/971 04 00