PhD or higher degree (if applicable) in economics and/or Master level in engineering. Experience in analytical work, especially in analyzing labour market, business and personal performance. Proficiency in Ukrainian (Fluent or C1 level); English (at a level not lower than B1) and Bulgarian languages (at a level not lower than A2). Experience in research work, preferably with publications on applied economics, business efficiency. Confident knowledge and experience with analytical tools and proficiency in the Microsoft ecosystem.

Experience in leading research projects

Participants whose proposals are selected will have the opportunity to significantly contribute to the strategic development of the business performance and workforce potential in the metallurgical industry and other engineering branches. This collaboration will not only expand the participants' professional networks and strengthen their reputation in the industry but also provide the opportunity to influence innovative processes in the HRM and stuff performance at an international level.

Strict compliance with the educational and professional profile, especially in economics or engineering, with a preference for candidates with a PhD degree.  Analytical work experience and strategy development in training and development in the metallurgical industry or other engineering fields. Published scientific work demonstrating contributions to applied economics, business efficiency, business analysis.

The selection process will include evaluating submitted documents to confirm compliance with the competition requirements, detailed consideration of proposals and their alignment with the study's goals, and interviews with finalists to deepen understanding of their approaches and methodology. The final choice will be based on a comprehensive assessment of all presented materials, compliance with qualification criteria, and the proposal's potential to achieve the study's goals.

Individual specialists are invited to participate in the competition, ready to offer effective solutions and innovative approaches to the analysis and development of engineering stuff perfomance. Participants must demonstrate deep analytical skills and a creative approach to solving the tasks.