Project title:
Statistical Forecasting of Probabilistic Properties
Research topic:
Quality attributes
such as performance, reliability, availability, safety, and security have a
probabilistic nature, and are important for almost all software development
projects and specifically for projects related to automotive, avionic and
medical systems. However, it is hard constructing a system that fulfils
requirements regarding these quality attributes. Consequently, also quality
control at system runtime is required. Due to the probabilistic nature of these
quality attributes this project aims to use statistical monitoring and
forecasting techniques (e.g. time series analysis) as a novel quality control
instrument for critical system components.
Your Benefits:
Basically, the benefits can be summarised as follows:
- You will work on
real-world research problems. (There will always be opportunities to cooperate
with major software and systems engineering companies.)
- You will be
trained in all skills that are required to successfully finish you research
project. Our goal is to help you develop the skills, connections, and
opportunities required, that ensure a successful postgraduate career.
- You will create
research outputs at the highest standards. In today’s world, it is not only
enough to be good, students must be great and competitive compared to other
graduate students. Please have a look at our own research outputs.
- You will get
optimal and continuous supervision. My goal is to give you strong support on
your research from a technical side. However, we also try to help my students
to develop their personal skills. If you like to know more about my supervision
style, we can provide contact details of recently graduated students as
reference.
- You study in a
friendly and cooperative environment.
We require:
We are interested in a PhD student who has a good academic record
(first class honours or equivalent with marks above 85%) with background in one
or more of the following areas:
- time series analysis
- statistical quality control
- probabilistic logics and probabilistic verification and probabilistic
model checking
- quality
attributes such as performance, reliability, availability, safety, and security
- software engineering (in the areas of embedded systems, robotics,
etc. )
- software architectures and architecture evaluation
- formal methods in system design
- statistics
Since this project involves working with other PhD students and
industrial partner, communication skills and the ability to work in a team
environment are especially required.
The scholarship carries a value of more then AUS$20,000+ p.a., with no
tuition fees for both Australian and international students. The selection
process will be competitive. If you are interested in the research project,
please provide the following information via email to
- detailed curriculum vitae
- short statement about you skills related to the area of research
- an (electronic) copy of undergraduate and postgraduate transcripts
(first class honours or equivalent with marks above 85% or GPA 3.70/4)
For the final application also the following documents are required:
- filled out application form for post graduated education at the Swinburne University of Technology
- evidence of
English proficiency for non-native English speaker (officially required is an
IELTS of 6.5 with no band below 6.0, practically scores above 7.0 are
preferred).
For more information about the research and the environment please have look at the research projects page and the main page.
For general information for prospective students please have a look this page.