The Technical University of Munich is developing TUMApply, a doctoral application portal designed to improve transparency, usability, and inclusivity in recruitment. While the platform envisions a centralized environment for job postings and application management, it does not yet provide structured support for scheduling interviews and consultations. Applicants and professors coordinate via email, which makes the process inefficient and creates uncertainty for both sides. This thesis contributes to TUMApply by implementing an Appointment System that allows professors to define time slots and manage requests, while applicants can view and book appointments through a dedicated interface. Targeted UI and UX improvements, such as consistent design patterns and responsive feedback, support a more reliable and accessible interaction flow. By integrating structured scheduling, the system reduces administrative workload, increases transparency and fairness, and strengthens the scalability of doctoral recruitment at TUM.