The UNSW Scientia PhD Scholarship Scheme is part of our dedication to harnessing our cutting-edge research to solve complex problems and improve the lives of people in local and global communities. Scientia scholars will have a strong commitment to making a difference in the world with demonstrated potential for contributing to the social engagement and/or global impact pillars of the UNSW 2025 Strategy. The Scientia Scheme is targeted in that applicants will apply to a specific research area with an identified supervisory team and application is by nomination.
Work on high quality research projects with the best supervisory teams in world class environments
Stipend $40K a year for four years
Tuition fees covered for the full 4 year period
Personal Development coaching and mentoring will form a critical part of your highly personalised leadership development plan
Career Development up to $10k each year to build your career and support your international research collaborations
Indigenous Researchers at least 5 scholarships will be reserved for Indigenous research candidates
The ideal candidate:
Completed first class honours or Masters by research in terrestrial, marine or microbial ecology
Interested in working at the forefront of the integration of microbial ecology and macroecology to advance fundamental and applied science.
Knowledge of microbial ecology an advantage.
Strong written and oral communication skills.
Must meet the UNSW entry requirements for English.
Strong analytical skills.
Scientific publications an advantage.
Experience in designing and conducting experiments and field work. Statistical analysis of complex data also desirable.
Climate change is resulting in shifts in the length and duration of extreme heating and cooling events. We understand that this results in inadequate developmental periods for animals and therefore leads to the expression of suboptimal phenotypes. However, we have a poor understanding of how extreme temperature fluctuations affect underlying genetic variation and a species’ evolutionary potential. This project will explore how climactic variation affects gene expression, and how this affects the investment trade-offs between different phenotypic domains such as lifespan, behaviour, physiology, and sexually selected traits. This will provide a crucial understanding of how extreme climactic variation affects evolution.
We are looking for a candidate that has an understanding of field and laboratory experimental techniques that include invertebrate collection and husbandry, dissections, and RNA extractions. Skills in experimental design, analysing qPCR results, and the use of R are also advantageous.
Humans rely on coastal ecosystems for services, such as food and recreational amenity, and they are amongst the most intense areas of development. Human activities introduce interacting stressors that affect the diversity and functioning of marine ecosystems, and, in some cases, cause ecosystem collapse. This project will test predictions of how Australia’s most widespread coastal communities respond to stress across a latitudinal gradient. The key to sustainable coastal development is discovering accurate and efficient diagnostic tools for assessing ecosystem ‘health’. This research is an international collaboration and aims to reveal relationships between diversity, resilience and ecosystem function with implications for global conservation using a multidisciplinary approach.
The ideal candidate has an Honours or equivalent degree in Marine Biology, Ecology of Microbiology and has previous experience in managing research projects. The candidate needs to have excellent written and oral communication skills and be able to work independently and as part of a team. The candidate should have a strong motivation to improve and protect the environment through fundamental research and its translation into management tools. The candidate will have the willingness and capacity to implement required H&S procedures according to university policies and implement equal opportunity policies and programs.
Marine debris is a leading environmental concern globally. Threats from marine debris are understood conceptually, but their spatial and temporal distributions are largely unknown. Without this knowledge, we cannot prioritise management actions or predict future change. This project will leverage Australia’s largest marine debris database (AMDD) to create risk maps of marine debris threats around Australia. It will develop novel methodologies to estimate threats for each marine debris item, including threats of ingestion, bioinvasion, and physical degradation, then combine these with the AMDD to map risk. Outcomes will directly inform national and international management of this global problem.
The candidate will have a strong commitment to making a difference in the world, with demonstrated academic excellence in environmental science relative to career-stage. Technical skills that would be beneficial include experimental design, statistical analyses and programming (preferably in R). He or she must be willing to conduct both laboratory and field experiments, and travel for remote fieldwork. Taxonomic identification skills, particularly for marine invertebrates, are also desirable.
In the face of global environmental change and during Earth’s “sixth mass extinction”, maintaining or enhancing landscape ‘connectivity’- the degree to which the landscape facilitates or impedes movement, has been widely advocated as a key conservation tool. Connectivity is not always beneficial as it can also aid in the spread of disease, pollution and invasive species. This project will integrate complex network modelling using graph theory and time-series of habitat networks from satellite data to identify which areas have facilitated the infamous cane toad invasion in arid Australia and thus identify areas that should be targeted to prevent further expansion.
A background in modelling and analysing large, spatially explicit data sets is required. The position would suit a recent graduate in ecology but with spatial analysis knowledge and well developed quantitative skills or a quantitative student that is keen to learn more about ecology. Good presentation and writing skills would be beneficial. A demonstrated enthusiasm for research is paramount.
Two-thirds of the planet’ ecosystems are currently degraded and face serious threats such as loss of biodiversity and increased climate change vulnerability. Consequently, there is an urgent global demand for developing new strategies to progress current ecosystem restoration efforts. This project will harness novel technologies such as soil microbial DNA sequencing and seed enhancement, to improve plant recruitment and soil function in degraded drylands through effective targeted-delivery of native soil microorganisms, including indigenous biocrust cyanobacteria. The project is expected to provide scientific-based, cost-effective, and environmentally-based techniques for land managers, conservation agencies, and government departments, to help those enhance restoration outcomes.
The ideal candidate for the proposed research project should meet the following requirements:
Environmental temperatures have a profound impact on developing animals. The Evolution & Ecology Research Centre has recently revealed the strength of the effect of developmental temperatures on reptile traits, and is continuing to examine how this plasticity impacts animal populations under changing climates. This project will 1) quantify temperature-based developmental plasticity in other taxa; 2) quantify other sources of developmental plasticity (e.g. maternal diet and oviposition behavior); and 3) analyse the reaction norms of plasticity. Addressing these issues will determine the relative importance of climate and temperature for organismal traits, and how they shape animal ecology and evolution.
The research will employ quantitative syntheses of published literature, with potential expansion to focused empirical experiments in reptiles or invertebrates. The ideal candidate for this project will have a Bachelor’s or Master’s degree in Biology, with an emphasis in animal ecology and evolution, and a strong interest in phenotypic plasticity. Essential skills and experience include: experience with an independent research project; strong writing skills; strong statistical skills and competence in R programming. Experience working with large datasets would be valuable.
Research in the Bonduriansky lab has uncovered a suite of highly environment-responsive (plastic) male reproductive and secondary sexual traits in a group of native insects. The development of these traits responds very strongly to environmental factors such as diet, with effects both within and across generations. Remarkably, the environment-responsiveness of these traits itself appears to evolve and diversity rapidly, providing a valuable opportunity to understand how species might adapt to a rapidly changing world. This project (funded by Bonduriansky’s ARC-DP) will combine laboratory and field studies to establish how ecology and selection combine to shape the evolution of environment-responsive traits.
We are seeking a student with qualifications and a strong interest in evolutionary ecology, preferably including a research Master’s degree. The ideal candidate will have a track-record of successful research and publications in international journals. Candidates with experience in laboratory and/or field research on insects are preferred.
Climatic change is set to reconfigure ecological systems, as key drivers of vegetation composition and function - such as rainfall and temperature - shift away from their historical norms. Vegetation will respond over a range of timescales, from short-term acclimation, to medium-term adjustments in the abundance of current species, to long-term adaptation and/ or replacement of species. In this project, the student will compare the pace and impact of these different responses, using process-based models; and then outline scenarios of alternative future states. Insight gained will underpin effective ecosystem management.
Graduates with a strong background in biology, mathematics, physics, atmospheric science, engineering or a similar quantitative science are particularly encouraged to apply. Programming experience with C, fortran 90, Python or R is highly desirable. Strong drive to understand the dynamics of plant ecosystems is essential.