Research course

Automated Scheduling, Optimisation and Planning Group

University of Nottingham · School of Computer Science

Entry requirements

2:1 (or international equivalent) in computer science or other relevant area.

Months of entry

January, December, November, October, September, August, July, June, May, April, March, February

Course content

Postgraduate study for the degree of PhD is offered within the Automated Scheduling, Optimisation and Planning (ASAP) research group in computer science. ASAP carries out multi-disciplinary research into mathematical models and algorithms for a variety of real world optimisation problems.

A PhD in the ASAP group requires research into models, heuristics and algorithms for automatically producing high-quality solutions to a variety of real-world scheduling and optimisation problems.

ASAP research work aims to set the following research directions on the international agenda:

  • Modelling the complexity and uncertainty inherent in complex, real-world problems across a wide range of application areas including airport optimization, cutting and packing, educational timetabling, healthcare, network routing, personnel scheduling, portfolio optimization, production scheduling/rescheduling, public transport optimization, space allocation, transportation logistics optimization and vehicle routing
  • Developing intelligent systems that can automatically aid the design and implementation of more efficient, effective, reusable, easier-to-implement/deploy/use general computational search methods that are applicable to a range of real-world problems
  • Developing rigorous mathematical theories for a more profound understanding of real world problems and effective design of intelligent decision support systems.

Information for international students

English language requirements - IELTS 6.5 (no less than 6.0 in any element).

Qualification and course duration


full time
36 months

Course contact details

Postgraduate Enquiries
+44 (0)115 951 5559