UNSW Sydney, Australia, School of Computer Science and Engineering
Position: PhD student, Full time, Research area: Machine Learning/Artificial Intelligence
The School of Computer Science and Engineering, UNSW Sydney,
Australia is offering a funded PhD position in Machine Learning and
Artificial Intelligence. The successful applicant will work with
classification and quantification methods in a real-world application of
estimating the density of insect vectors and pests using optical
sensors, among other applications. The research will deal with
challenging scenarios for classification and quantification algorithms
such as concept/context drift, imbalanced classes and streaming data.
The
School of Computer Science and Engineering is one of the largest and
most prestigious computing schools in Australia. For further information
about the School, please visit http://www.cse.unsw.edu.au/
Requirements:
A successful applicant should have solid programming skills,
introductory knowledge of machine learning, ability to work in an
interdisciplinary field, good analytical skills, and proficiency in
English. Candidates must have a Bachelor or Master degree in Computer
Science or related area.
How to apply: All applications should be sent to Gustavo Batista (gbatista@cse.unsw.edu.au).
Your application should include a 1-page motivation letter, a short CV,
copies of all transcripts, degrees, English test result (if available),
publications (if any), and names and contact details of at least two
referees.
Key
dates: For fullest consideration, applications must be submitted by 1
August 2019. Applications will be accepted until the position is filled.
Expected starting date is Term 1 (February) 2020.
CRICOS Provider Code 00098G.
Prof. Dr. Gustavo E.A.P.A. Batista
Departamento de Ciências de Computação
Universidade de São Paulo
Campus de São Carlos
http://www.icmc.usp.br/pessoas/gbatista
Departamento de Ciências de Computação
Universidade de São Paulo
Campus de São Carlos
http://www.icmc.usp.br/pessoas/gbatista