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Pursuing a postgraduate research degree demands commitment and enthusiasm for your chosen field, but the effort pays off. Doctoral studies present significant challenges while offering immense personal and professional fulfillment. As a research student, you'll undertake an in-depth investigation in a specific discipline with guidance from a principal supervisor and additional co-supervisors.
Theoretical Computer Science serves as the fundamental basis of computing. A key objective is establishing mathematically rigorous frameworks for creating advanced algorithms to solve practical challenges. This encompasses mathematically modeling algorithmic methods, assessing computational problem complexity, and exploring efficiency boundaries through computational complexity analysis. Professor Kristina Vukovi leads the Algorithms and Complexity research group, which focuses on areas including graph theory, logic and model theory, combinatorial optimization, scheduling theory, graph algorithms and data structures, complexity analysis of discrete structure problems, randomized algorithms, probabilistic algorithm evaluation, and approximation techniques.