PRR Project

Summary

Position: Principal Researcher in Operations Research Job Description: We are seeking a highly motivated and skilled researcher in Mathematics - Operations Research, to join our dynamic team at NOVA Math. The successful candidate will be responsible for conducting cutting-edge research in the areas of Continuous Optimization, with a specific focus on Nonlinear Constrained and Unconstrained Optimization. Key tasks include exploring nonlinear optimization strategies for data science and inverse matrix problems, and the development and analysis of innovative algorithms to compute good quality solutions. Responsibilities:Design, analyze, and implement algorithms for large-scale continuous optimization problems.Investigate new nonlinear optimization models with strong connections to data analysis and inverse matrix analysis problems.Conduct cutting-edge research on nonlinear optimization.Collaborate with interdisciplinary teams to integrate findings into broader research initiatives.Actively engage in the activities of the research center, including supervision of post-Docs.Contribute to the publication of research findings in reputable scientific journals.Stay abreast of the latest developments in Continuous Optimization and related fields. Scientific Profile: The ideal candidate will possess the following qualifications and attributes:Ph.D. in Applied Mathematics or a related field with a strong focus on Computational Mathematics and Large-scale Optimization.Proven expertise in designing state-of-the-art algorithms, with a track record of successful projects.Extensive knowledge in Nonlinear Optimization and Numerical Analysis.Proficiency in utilizing advanced techniques to establish theoretical properties of the proposed algorithms.Strong publication record in reputable scientific journals, demonstrating the ability to contribute novel insights to the field.Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Rationale: The recruitment for this position aligns with the strategic goals of NOVA Math to advance research excellence in Continuous Optimization. The intersection of nonlinear optimization and statistics represents a burgeoning area of scientific research with promising applications in data analytics, social network, graph theory, and combinatorial optimization. The expertise of the successful candidate will significantly contribute to ongoing research projects and strengthen our institutional capabilities in these critical areas. Furthermore, the hire will enhance collaboration with external partners, foster international relationships, and contribute to the training of the next generation of researchers in Optimization. This position reflects our commitment to innovation and scientific leadership, positioning NOVA Math at the forefront of advancements in Operations Research and related disciplines.