Promotion in Ingenieurswissenschaften, Informationstechnologie und Computer Sciences

Promotion in Ingenieurswissenschaften, Informationstechnologie und Computer Sciences

Forschungsschwerpunkte

Innerhalb der Ingenieurswissenschaften, Informationstechnologie und Computer Sciences gibt es verschiedene Möglichkeiten der Spezialisierung. Folgende Forschungsbereiche lassen sich unter anderem diesem Studienfeld zuordnen.

Engineering:

  • Aerospace Engineering & Aviation
  • Biomedical Engineering
  • Computational Engineering
  • Chemical Engineering
  • Civil and Infrastructure Engineering
  • Digital Engineering
  • Electrical Engineering
  • Electronic & Telecommunications Engineering
  • Environmental Engineering
  • Geographical Information Systems
  • Health Technology
  • Manufacturing, Materials & Mechatronics Engineering
  • Machine Learning
  • Mechanical & Automotive Engineering
  • Minerals and Energy Resourcing Engineering
  • Renewable Energies

IT und Computer Science:

  • Artificial Intelligence
  • Biosystems & Computational Biology
  • Computer Architecture & Engineering
  • Data Mining & Databases
  • Distributed Computation
  • Graphics
  • High Performance Computing
  • Human Computer Interaction (HCI)
  • Information Technology
  • Internet of Things
  • Networks & Distributed Systems
  • Operating Systems
  • Security
  • Software Engineering
  • Theory & Algorithms

Dein genaues Forschungsthema kannst du in direkter Absprache mit den potentiellen Supervisor:innen abstimmen. Falls du noch keine feste Vorstellung für dein Thema hast, schau dir gerne einige der aktuell ausgeschriebenen Projekte an.

Auswahl möglicher Forschungsprojekte in Australien

PhD Engineering

Logo UTAS
University:University of Tasmania
Faculty:College of Sciences and Engineering
Project Start Date:01.12.2022
Application Deadline:18.07.2022
Supervisor Name:Rodrigo Hamede, Email: rkhamede@utas.edu.au
Location (City/Campus):Hobart, Sandy Bay Campus
Project Description:

Tasmanian devils (Sarcophilus harrisii) are threatened by two independently evolved transmissible cancers, devil facial tumour disease (DFTD, first detected in 1996 in north-eastern Tasmania) and devil facial tumour 2 (DFT2, first detected in 2014 in south-eastern Tasmania). During the last two decades, devil-DFTD evolutionary interactions led to genetic and phenotypic adaptations to the disease, and a significant decrease in its transmission rate. This suggests that DFTD is transitioning from an epidemic to an endemic disease, a key component for host-pathogen coexistence. However, the recent emergence of DFT2 has the potential to alter infection dynamics and ongoing devil-tumour adaptations. Whilst DFT2 has been only observed in the geographic peninsula where it originated, a rapid increase in its prevalence and spread has been observed over the last three years. To date, there is limited information about the epidemiology and population effects of DFT2, its interaction with DFTD and the extent to which this new cancer represents a significant threat for the already imperilled devil populations.

The project aims to quantify the effects of environmental and population characteristics on infection dynamics and spread of DFT2 in wild populations. Using multiple data sets generated from telemetry, live and camera trapping, and a combination of modelling techniques, the project will evaluate the spatiotemporal dynamics of DFT2, identify parameters associated with disease clusters and conditions for disease fade out or persistence. Model outputs will be used to assess the long-term viability of populations affected by both cancers and evaluate the suitability of potential disease management strategies.

The Tasmanian devil-DFTD-DFT2 study system provides a unique opportunity to integrate recent statistical advances for modelling infection dynamics with fine scale spatiotemporal, epidemiological and ecological datasets to the management of emerging infectious diseases.

Funding Information:

Fully funded scholarship

This project has been put forward to be considered for The High Family Scholarship in Tasmania Devil Research. Eligible applicants may be assessed for this scholarship. Please visit The High Family Scholarship in Tasmania Devil Research for more information about this scholarship.

As part of the application process you may indicate if you do not wish to be considered for scholarship funding.

Special Requirements:

Applicants should review the Higher Degree by Research minimum entry requirements and the following additional eligibility criteria specific to this project:

The degree must be undertaken on a full-time basis.

Applicants must already have been awarded a First-Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.

Applicants must be able to demonstrate strong research and analytical skills.

Applicants must meet English requirements or be able to do so before commencement.

Additional Information:Further Information can be found here.
Categories : PhD Health Sciences | PhD Engineering | PhD Bio, Chemie

Grundlegendes zum Schwerpunkt Ingenieurswissenschaften, Informationstechnologie und Computer Sciences

Forschung in den Ingenieurwissenschaften, Informationstechnologie und Computerwissenschaften ist in Australien wie in Deutschland sehr anwendungsorientiert. Forschungsprojekte in diesen Bereichen werden stark von wirtschaftlichen und gesellschaftlichen Rahmenbedingungen bestimmt und gefördert. In den „Australian Research Priorities“ sind sie mit Themenbereichen wie manufacturing, health technology, transportation, energy oder cyber security mehrfach vertreten. Durch inter- und transdisziplinäre Forschungszusammenarbeit mit nationalen und internationalen Partnern werden starke Allianzen geschaffen, um komplexe gesellschaftliche Probleme und Herausforderungen zu lösen. 

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