Postdoctoral position at Monash University, Australia.
Research Fellow (Information Theory)
Job No.:
599445
Location:
Clayton Campus
Employment Type:
Full-time
Duration:
19-month Fixed-term appointment
Remuneration:
$68,040 - $92,343 pa Level A (plus 9.5% employer superannuation)
-
Be part of an internationally recognised department
-
Opportunity to use your communication theory knowledge and experience
-
Outstanding facilities and pioneering thinking
If you're after a rewarding career, Monash University can help make it happen. With leading academics and world-class resources, combined with a ranking in the top 100 universities worldwide, we offer all you need to build a brighter future.
Monash University strongly advocates diversity, equality, fairness and openness. We fully support the gender equity principles of the
Athena SWAN Charter
and invite you to join us in celebrating
women in STEMM
The Opportunity
The Faculty of Engineering is one of the largest faculties in Australia and we are renowned globally for the quality and calibre of our teaching, research and graduates. We offer a range of degrees in a wide range of engineering disciplines and our research activities provide a platform for establishing a thriving educational enterprise. The Department of Electrical and Computer Systems Engineering aims to provide high-quality research programs for undergraduate and research students as well as undertaking and publishing high-quality research.
This is an exciting opportunity to join an established team of friendly and hardworking academics, contributing to research initiatives globally. The Department of Electrical and Computer Systems Engineering is seeking a Research Fellow to become an integral part of the Wireless Telecommunications team. You will be responsible for carrying out high-quality inter-dependent research within University based and Industry based projects shaping machine learning as a communication theory problem.
To be successful in this role, you will preferably have a PhD (or working towards your PhD) in Electrical Engineering/Computer Science with expertise in Information Theory or Machine Learning. You must have the knowledge and experience in applying information theory and/or machine learning to communication systems. Your ability to work with a team and by yourself with limited supervision will be highly regarded, as will your strong analytical and presentation skills.
Are you looking for your next opportunity? Would you thrive being a part of a dedicated team? Then we look forward to hearing from you!
This role is a full-time position; however, flexible working arrangements may be negotiated.
For instructions on how to apply, please refer to “
How to apply for Monash Jobs
”.
Your application must include a cover letter (maximum 2 pages) that references your suitability for the role and a copy of your latest Resume/CV.
Enquiries
Dr Nikola Zlatanov, Electrical and Computer Systems Engineering. Email:
[email protected]
.
+61 3 9905 3505
Position Description
Research Fellow (Information Theory)
Closing Date
Sunday 12 January 2020, 11.55 pm AEDT
Job No.: 599445
Location: Clayton Campus
Employment Type: Full-time
Duration: 19-month Fixed-term appointment
Remuneration: $68,040 - $92,343 pa Level A (plus 9.5% employer superannuation)
- Be part of an internationally recognised department
- Opportunity to use your communication theory knowledge and experience
- Outstanding facilities and pioneering thinking
If you're after a rewarding career, Monash University can help make it happen. With leading academics and world-class resources, combined with a ranking in the top 100 universities worldwide, we offer all you need to build a brighter future.
Monash University strongly advocates diversity, equality, fairness and openness. We fully support the gender equity principles of the Athena SWAN Charter and invite you to join us in celebrating women in STEMM
The Opportunity
The Faculty of Engineering is one of the largest faculties in Australia and we are renowned globally for the quality and calibre of our teaching, research and graduates. We offer a range of degrees in a wide range of engineering disciplines and our research activities provide a platform for establishing a thriving educational enterprise. The Department of Electrical and Computer Systems Engineering aims to provide high-quality research programs for undergraduate and research students as well as undertaking and publishing high-quality research.
This is an exciting opportunity to join an established team of friendly and hardworking academics, contributing to research initiatives globally. The Department of Electrical and Computer Systems Engineering is seeking a Research Fellow to become an integral part of the Wireless Telecommunications team. You will be responsible for carrying out high-quality inter-dependent research within University based and Industry based projects shaping machine learning as a communication theory problem.
To be successful in this role, you will preferably have a PhD (or working towards your PhD) in Electrical Engineering/Computer Science with expertise in Information Theory or Machine Learning. You must have the knowledge and experience in applying information theory and/or machine learning to communication systems. Your ability to work with a team and by yourself with limited supervision will be highly regarded, as will your strong analytical and presentation skills.
Are you looking for your next opportunity? Would you thrive being a part of a dedicated team? Then we look forward to hearing from you!
This role is a full-time position; however, flexible working arrangements may be negotiated.
For instructions on how to apply, please refer to “ How to apply for Monash Jobs ”.
Your application must include a cover letter (maximum 2 pages) that references your suitability for the role and a copy of your latest Resume/CV.
Enquiries
Dr Nikola Zlatanov, Electrical and Computer Systems Engineering. Email: [email protected] . +61 3 9905 3505
Position Description
Research Fellow (Information Theory)
Closing Date
Sunday 12 January 2020, 11.55 pm AEDT