SAAB Internship Opportunity

An exciting internship opportunity with SAAB has become available which needs to be filled immediately with 2 to 3 students.

The job shop scheduling problem is an optimization problem in computer science, where the aim is to schedule a number of different jobs of varying processing times on a limited number of machines, while minimizing the total length of the schedule. Several methods have been developed in the past for solving this problem but, in this project, students will investigate whether using a genetic algorithm to solve the job shop scheduling problem using hardware acceleration (an FPGA board) is feasible and/or offers a tangible performance gain.

Outputs from the project include:

  • Initial report outlining literature survey and defining scope of work
  • Demonstration of achieved results
  • Final report and presentation including methods, results and conclusion

We expect that this project will enable students to:

  • Demonstrate a good understanding of job shop scheduling and genetic algorithms.
  • Undertake the problem identification, formulation and solution.
  • Develop a sound technical knowledge of implementing a selected algorithm into a FPGA.
  • Communicate and work with other students in the team in achieving the project goal.
  • Present project finding and conclusion in a report/paper and a presentation

Students will need to complete this experience 2 days a week for 10 weeks, starting mid August 2020.

If you are interested in applying, please send through your cover letter and resume to the Internships team.

Tagged in Internships, electrical and mechanical engineering, Civil Environmental and Mining Engineering, Chemical Engineering, computer and mathematical sciences, Australian School of Petroleum