GATE is a joint initiative between Sofia University “St. Kliment Ohridski”, Chalmers University of Technology, Sweden and Chalmers Industrial Technology, Sweden. The Swedish institutions are leading organizations in strategic initiatives such as AI Sweden, AI Research Centre, AI Innovation of Sweden and the Digital Twin Cities Centre.

GATE develops research capacity and potential in Big Data and Artificial Intelligence, cultivating the next generation of leading scientists by expanding the existing research network and establishing long-term agreements with leading global organizations. The Institute builds sustainable stakeholder relationships, focusing on technological collaboration between government, industry, academia and non-governmental organizations towards Artificial Intelligence and smart decision-making models.

We use artificial intelligence for a better and safer life.

Leading Researcher (R4)

Data Science

Responsibilities:

• Researches and analyses the landscape of innovative approaches that could significantly contribute to the scientific goals of GATE in the field of advanced data analytics, applied to the four application domains at GATE: Digital Health, Future Cities, Intelligent Government and Smart Industry;
• Adapts current machine learning research to high consequence real world applications and integrate solutions into practical tool chains;
• Pursues independent (but complementary) research interests and interact with a broad spectrum of scientists internal and external to the Institute;
• Presents formal and informal overviews of research progress to peers, sponsors, and stakeholders;
• Manages multiple advanced parallel tasks and priorities of the Instutite and stakeholders, ensuring deadlines are met, while leveraging team member’s skills;
• Conduct self-initiated research, maintain an awareness of technical literature in assigned areas, publish research results in peer-reviewed scientific or technical journals, and present results at external conferences, seminars, and/or technical meetings;
• Contributes to high-quality scientific publications;
• Prepares presentations to communicate research results at national and international scientific conferences and industry events;
• Participates in the implementation of existing and the design of novel Machine Learning (ML) and Artificial Intelligence (AI) models in the context of GATE projects;
• Performs individual and collaborative research in the area of ML and AI;
• Participates in the development of strong relationships with external key stakeholders;
• Management of national and/or international research project;
• Supervision of young researchers, interns and master students;
• · Engages in continuous professional development and participates in various events for learning and knowledge exchange;

Our requirements:

• Ph.D. in Computer Science, Statistics, Mathematics, or a related field, or a Master’s Degree plus a minimum of 10+ years of industry-based relevant research experience;
• Experience in one or more of the following: machine learning, deep learning, artificial intelligence, scientific machine learning, image analysis, computational statistics;
• Programming skills in Python using at least several of the standard Data Science tools and libraries: PyTorch, TensorFlow, Keras, NumPy, SciPy, Pandas or others;
• Interest in participating in research projects, involving a wide variety of stakeholders;
• Experience in significant research co-operations and collaborations;Experience in teaching and mentorship programs;
• Good written and oral communication and presentation skills, prioritizing of tasks, motivation to discover new approaches in AI development;
• · Fluency in English;

Our offer:

• You will have the freedom to conduct research in any area within the scope and priorities of GATE, creating new visions for the future
• You will experience leading and mentoring small research team with staff scientists and graduate studentsfrom diverse technical backgrounds, as well as an ability to function as an independent researcher;
• You will be provided with numerous opportunities for learning, knowledge exchange and career development, locally and internationally
• Your research will be supported by an advanced research infrastructure, comprising the GATE platform and Open Innovation Labs
• You will have a flexible work schedule and a modern and appealing work environment, stirring up creativity and productivity;
• Competitive working conditions and a salary commensurate with your skills and experience.

How to apply:

Please send your contact data and files with personal documents on our Application Form - Gate (gate-ai.eu) until March 26, 2025:

• Cover/motivation letter that explains the motivating factors for considering the position (max. 2 pp);
• CV;
• Copies of diplomas for completed education and certificates of qualification;
• Copies of documents certifying past work experience in the relevant field;
• Two references letters or personal recommendations, arranged by applicants and directly submitted by the letter or provided as contact data in the cover letter;
• As an attachment to your application, please sign 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 March 26, 2025
• An interview with the successful candidates will take place until March 27, 2025.
• All interviewed candidates will be informed of the outcome of the competition.
• The selected candidates will be hired on a labor contract.