Grant-Funded Researcher (A) - Planning & Scheduling

Updated: 29 days ago
Location: Adelaide, SOUTH AUSTRALIA
Job Type: FullTime
Deadline: 08 Nov 2021

Job no:506225
Work type:Fixed term - Full-time
Campus:Adelaide
Categories:Faculty of Engineering, Computer & Mathematical Sciences, Level A


(Level A) $89,610 per annum plus an employer contribution of up to 17% superannuation may apply.

Fixed term, full-time opportunity available for two years.

The Postdoctoral Fellow will undertake collaborative and self-directed research on an ARC-funded Linkage project, in collaboration with the industrial partner Safran Electronics & Defense Australasia.

The ideal Postdoctoral Fellow candidate will have an outstanding background in Computer Science or Applied Mathematics (or equivalent), with particularly experience in the development and implementation of numerical methods, and engineering applications of optimisation techniques in real-time control of dynamical systems. Additionally, the candidate will have experience with mathematical foundations of automated planning and scheduling algorithms.

The Postdoctoral Fellow will contribute to research in planning, sensing and scheduling for naval assets combining optimization-based approaches with methods from artificial intelligence-based learning. The results will be applied to demonstrate coordinated autonomous sensing of naval assets in dynamic maritime environments, with an aim to deliver a high quality maritime situational awareness solution.

To be successful you will need: 

  • PhD degree in Computer Science, Applied Mathematics or a closely related field (preferred expertise in planning and scheduling).
  • Strong background in planning and scheduling algorithms, constraint satisfaction, and operations research.
  • Fundamental knowledge or research experience in optimization methods, ideally in combination with constraints and uncertainty. Experience with distributed constrained optimization problems (DCOP) and disjunctive temporal networks with uncertainty (DTNU) will be helpful.
  • Research experience in combining optimization methods with machine learning.
  • A high level of analytical and problem-solving skills, as demonstrated through the ability to perform independent research and deliver high quality research outcomes in a timely manner. 

Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.

We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life. Flexible working arrangements are on offer for all roles at the University.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your faculty's broader role

The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning, high-level mathematics and architecture, planning and landscape architecture. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers.

Learn more at: ecms.adelaide.edu.au

If you have the talent, we'll give you the opportunity. Together, let's make history.

Click on the ‘Apply Now’ button to be taken through to the online application form. Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.

Applications close 11:55pm, 8 November 2021.

For further information

For a confidential discussion regarding this position, contact:

A/Prof. Markus Wagner
School of Computer Science
P: +61 (8) 8313 5405
E: markus.wagner@adelaide.edu.au  

You'll find a full position description and/or selection criteria below: (If no links appear, try viewing on another device)

The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.

#LI-UOA 

Download the Position Description Apply now


View or Apply

Similar Positions