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PhD scholarship: Mathematical modeling in infection and immunity
UNSW

Infection Analytics Program, Kirby Institute

Closing date: 13th October 2016

The Infection Analytics Program at the Kirby Institute is looking for talented students to join their team in Sydney, Australia, investigating immunity and vaccination for chronic infectious disease. Major current projects involve understanding the dynamics of 'latent' infection in HIV, and how the immune system controls malaria infection. The group is an interdisciplinary team including applied mathematicians, physicists, and computer scientists, who collaborate widely with experimental groups around the world. The team uses mathematical modeling, statistical analysis, and computer simulation to understand immunity to infection. The scope of studies ranges from modeling immune kinetics in vivo, analysis of genetic evolution in HIV, to analysis of cohort data on malaria infection in the field. The group has a high publication output and a strong history in successful interdisciplinary training. It is an ideal venue for students with a quantitative background (mathematics / physics / statistics) aiming to either establish themselves or diversify their experiences in mathematical biology.

Applicants are sought for both local and International student scholarships for PhD studies. These scholarships cover tuition and living expenses (with stipends ranging from approx. $36,000 - $40,000 p.a., depending on scholarship). PhD studies generally last 3.5 years.

The scholarships are highly competitive. For local students, first class honours is usually required. For international students, a high GPA (first class honours or equivalent. High ranking in class) +/- publications are required. More information on the group’s research is available at the Infection Analytics website.

Applications for January 2017 close on 18 August for International applicants, and on 13 October for domestic applicants.

Interested students should forward a CV and outline of interests to Professor Miles Davenport (m.davenport@unsw.edu.au).



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