Researchers in Ontologies and Knowledge graphs (R1,R2)

Location:
Sofia
About the Role:

GATE Centre of Excellence “Big Data for Smart Society” is a research institute, established in 2019 in Sofia, Bulgaria as a joint initiative between Sofia University Bulgaria, Chalmers University of Technology (Chalmers) and Chalmers Industrial Technology (CIT), Sweden.

GATE’s mission is to:

  • Establish a world-class ecosystem for basic and applied Big Data and Artificial Intelligence research and innovation
  • Be a focal point between academia, government and industry for Big Data and Artificial intelligence domain
  • Serve as a catalyst for economic growth based on data-science innovation, digitalization, and knowledge-based entrepreneurship across various economic sectors.

GATE creates value and delivers innovation excellence into the following four strategic application themes:

  • Future Cities
  • Intelligent Government
  • Smart Industry
  • Digital Health

With respect to its intensive development, GATE CoE is looking for Researchers in Ontologies and Knowledge graphs (R1, R2).

Responsibilities

  • Design, implement and maintain complex Linked Data models;
  • Uncover data and their relationships from a variety of sources: relational databases, flat files and RDF documents, others;
  • Provide efficient data integration in GATE application domains;
  • Create and instantiate OWL ontologies to expose semantics encoded in the data;
  • Construct and maintain ETL pipelines to keep Linked Data resources up to date from various sources;
  • Scientific paper writing;
  • Keep up-to-date with the latest technology trends;
  • Engage in appropriate training and development opportunities.

 

Skills, Experience and Qualifications

Essential

  • Junior researcher: А minimum of bachelor’s or master’s degree in in computer science, applied mathematics, engineering, or in a related discipline;
  • Experienced researcher: A PhD Degree in computer science, geoinformatics/geomatics, engineering, or in a related discipline or a Master’s Degree plus a minimum of 4 years industry-based relevant research experience;
  • Expertise with two or more of the following technologies Graph and Semantic technologies such as Neo4J, Graph DB / Triple Stores like Stardog, NoSQL DBs, SPARQL, Cypher, Gremlin, Protégé, RDF, OWL, R2RML;
  • Familiarity with graph Analytics & Inferencing / Visualization tools such as Cytoscape, Cytoscape js, Gephi, GraphViz, Neovis.js and especially related to GIS: Leaflet.js, Folium and similar;
  • Knowledge of and experience in implementing Object Oriented design and experience in at least one programming language like Java, Scala, C++, C# or similar and at least one scripting language such as Python or R;
  • Solid oral/written communication and presentation skills in order to explain the outcome of the research (and the value thereof) to coworkers and peers;
  • Ability to prioritize tasks and work on multiple assignments, and a deep desire to find ways to create value and deliver results.
  • Fluent English is a must.

Experience with one or more of the following

  • Experience or familiarity with AI and Machine learning concepts: Supervised and Unsupervised machine learning, Neural Networks, Support vector machines, Kernel methods;
  • Experience in working with Jupyter Notebook/Jupyter Lab and other tools for reproducible research;
  • Experience in domains where knowledge graphs can be applied like GIS, Bioinformatics and Health.

 

Why join us as Researcher?

  • You will be able to conduct industrially-relevant, applied research without the stress of the industrial environment;
  • You will constantly develop your knowledge and skills as a natural consequence of your daily research responsibilities;
  • You will join and collaborate with a team of researchers, but will have the freedom to conduct research in any area within the scope and priorities of GATE, creating new visions for the future;
  • Your research will be supported by an advanced research infrastructure, comprising the GATE platform and Open Innovation Labs;
  • You will be able to participate in cross-cutting research with other research groups at the Institute;
  • You will be able to disseminate your achievements through publications in world-class scientific journals and participation in international conferences;
  • You will be able to benefit from numerous training, knowledge exchange and professional development opportunities at national and international level.

 

Why join our team as an Employee?

  • You will work in a modern and attractive environment that stimulates creativity and productivity;
  • You will be offered competitive working conditions and remuneration commensurate with your skills and experience.
  • You will be part of a supportive, driven, and genuinely fun team that values collaboration and celebrates success together;
  • You will be able to participate in regular team-building events – From off-site retreats to escape rooms and quiz “nights”, we know how to mix work with play;
  • You will be able to access training, mentorship, and funding for courses and conferences to keep you growing;
  • You will have flexible work options – hybrid work possibilities, flexible hours, and understanding of work-life balance;
  • Multisport card.

 

How to apply

Please send your contact data and files with personal documents via https://dev.nov.website/gate/en/application-form/ until May 31, 2025:

  • Cover letter that explains the motivating factors for considering the position (1-2 pages);
  • Curriculum vitae;
  • Copies of diplomas for completed education and certificates of qualification;
  • Two letters of support from academic tutors, former supervisors, mentors or equivalent, including their contact details provided as appendices in the cover letter or as a separate document;
  • As an attachment to your application, please sign, scan and enclose the following declaration:
    I agree to the processing of my personal data included in this application for the needs necessary to carry out the recruitment.

Additional information on the site www.gate-ai.eu or contact us on: career@gate-ai.eu

By applying for these positions, you voluntarily provide your personal data and consent to the processing of such data for recruitment and selection purposes. The processing of your personal data is carried out in accordance with the requirements of Regulation (EU) 2016/679 (General Data Protection Regulation), the Personal Data Protection Act and related regulations in Bulgaria.

Selection stages

  • Examination of the documents submitted and admission to the competition of those who satisfy the requirements set out in the notice. The successful candidates will be informed by May 31, 2025.
  • An interview with the successful candidates will take place until June 6, 2025.
  • All interviewed candidates will be informed of the outcome of the competition.
  • The selected candidates will be hired on a labour contract.

Benefits

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