The Methods and Models of Optimization (MeMO) laboratory at Federal University of São Paulo opens a PhD research position in “Models and Methods to solve the Patient Bed Assignment Problem and the Operation Room Scheduling Problem”. The selected candidate will work at the Institute of Science and Technology (ICT-UNIFESP), São José dos Campos, SP/Brazil.
The objective of this project is to investigate and develop exact and heuristic algorithms for two optimisation problems found in hospital management: Patient Bed Assignment Problem and Operation Room Scheduling Problem. We are interested in investigating practical constraints and patient preferences. The adaptive Biased Random-Key Genetic Algorithm (A-BRKGA) and Machine Learning techniques will be used to solve these problems.
The PhD fellowship includes a monthly stipend of R$ 2.043,00, R$ 2.168,70, R$ 3.010,80 and R$ 3.726,30 on the first, second, third and fourth year, respectively (from about USD 500 to USD 900), access to the health-care system of Unicamp or USP, and research contingency funds (30% of the annual value of the fellowship, each year). The fellowship may also cover transportation costs and an additional monthly stipend for installments in the state of São Paulo. For more details, check out FAPESP’s webpage http://www.fapesp.br/5315 (in Portuguese).
REQUIREMENTS: Applicants should have some experience with the C\C++ language, metaheuristics and machine learning. Candidates must have a recent undergraduate degree in Computer Science, Engineering, or in a related field, and must NOT hold a Masters degree.
APPLICATION: The candidate must send by email until June 15, 2020 the following documents:
* Curriculum vitae with a list of publications, and previous experience.
* A recommendation letter from a previous supervisor/professor.
* A motivation letter for the application.
All documents must be sent to Prof. Antonio Chaves (email@example.com) using ‘PhD application’ as the subject.