Optimization Lecturer Position at the University of Melbourne

Organisation

University of Melbourne

Research Field

Deadline

14 February de 2020

Location

Australia

Escuela de Ingeniería de Melbourne

The Melbourne School of Engineering (MSE) is the leading Australian provider of engineering and IT education and research. We are a multidisciplinary School organised into three key areas; Computing and Information Systems (CIS), Chemical and Biomedical Engineering (CBE) and Electrical, Mechanical and Infrastructure Engineering (EMI). MSE continues to attract top staff and students with a global reputation and has a commitment to knowledge for the betterment of society.

Main Tasks

This position has been created to provide academic leadership around our Optimisation activities and to foster new research opportunities in the School of Computing and information Systems (CIS). Further aspects of the role are to strengthen relationships with Melbourne Connect and its key research partners, other University groups, and external research organisations and industry partners. Main tasks:

• A PhD (or equivalent) in Computer Science, or another relevant field;
• Distinguished career in an academic or research institution in an area broadly related to Optimisation;
• An international reputation in leading research innovation and fostering research collaboration in Optimisation with researchers from other organisations as part of multi-disciplinary teams;
• Others (Check all tasks here)

Requirements

• A PhD (or equivalent) in Computer Science, or another relevant field;
• Distinguished career in an academic or research institution in an area broadly related to Optimisation;
• An international reputation in leading research innovation and fostering research collaboration in Optimisation with researchers from other organisations as part of multi-disciplinary teams;
• Demonstrated excellence in building and maintaining strong and enduring relationships with a wide range of stakeholders in complex settings;
• Strong track record of encouraging and progressing research and innovation programs and processes;
• An outstanding track record of industry-engaged research in Optimisation;
• A demonstrated record of research impact and translation to practice;
• Demonstrated excellence in academic leadership and management including an ability to build strong, sustainable teams, embedding change and driving performance in a large complex organisational environment;
• Other (Check all requirements here)

More Information

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