🎓 Discover PhD and Master's programmes at leading universities worldwide — Sign up free to save searches and get email alerts
MUM

AEROGEN-Asia (Airborne Environmental RESistance GENes in Asia)

✓ Funded (Competition) 🎓 Bioinformatics 🎓 Biotechnology 🎓 Machine Learning 🎓 Molecular Biology 🎓 Molecular Genetics machine learning metagenomics Malaysia PhD public health AMR genes aerobiome air sampling antimicrobial resistance

Competition funded PhD at Monash University Malaysia focused on airborne antimicrobial resistance gene surveillance using metagenomics, environmental data, and machine learning.

Project Description

This PhD project investigates airborne environmental resistance genes in Asia by establishing a network of air sampling stations across the Klang Valley. The research will use high-throughput metagenomic sequencing to map the aerobiome and identify the diversity and concentration of airborne antimicrobial resistance genes. The project includes: Air sampling station deployment across selected locations Metagenomic sequencing of airborne microbial communities Analysis of airborne AMR gene diversity and concentration Integration of meteorological and PM2.5 data Geospatial analysis of proximity to high-risk sources such as hospitals and wastewater plants Development of machine learning models to predict airborne AMR distribution This project combines microbiology, environmental surveillance, bioinformatics, and predictive modelling to improve understanding of airborne antimicrobial resistance.

Entry Requirements

First Class Honours (H1) or equivalent
Must meet English language requirements

Relevant background in:

Bioinformatics
Biotechnology
Microbiology
Molecular Genetics
Machine Learning

How to Apply

Contact the main supervisor (Dr Tan Hock Siew)
Submit Expression of Interest (EoI) with research proposal
If shortlisted, proceed to full application and interview

Note:

Interviews expected around February 2026
Process changes from May 2026
Updated instructions available from 4 May 2026
Scholarship open until filled

Eligibility

UK/Home
EU
International

Supervisor Profile

:D
: Dr Tan Hock Siew, Professor Qasim Ayub, Dr Siciliy Fung Fung Ting
Monash University Malaysia, Science

Related Opportunities

Computational Genomics Approaches to Understanding Human Diseases and Cancer
University of Oklahoma College of Medicine Dr. Qingnan Liang 🎓 Bioinformatics 🎓 Genetics

Explore the interface of computational and experimental genomics to unravel cancer mechanisms. Develop innovative software and analyze vast omics datasets. Join a lab committed to mentorship, cutting-edge research, and …

This research is critical for understanding complex genomic alterations in diseases such as cancer, enabling improved diagnostic and therap…

Computational Genomics Cancer Research Multiomics Data Mining Bioinformatics Software
AI-based Prediction of Protease Cleavage and Kinetics in Protein Digestion
Wageningen University and Research Dr. Gijs Vreeke 🎓 Bioinformatics 🎓 Computational Biology Deadline: 26 May 2026

Explore the application of AI to model protease cleavage sites and peptide release during protein digestion. Develop data-driven kinetic models using advanced LC-MS experimental data to better understand and predict foo…

This research advances the understanding of protein digestion, critical to optimizing nutritional value and bioavailability of dietary prot…

peptides LC-MS protein hydrolysis digestive proteases
PhD in Biology - Developing novel insecticidal proteins for crop protection
University of York Dr Federico Sabbadin 🎓 Agricultural Sciences 🎓 Biochemistry Deadline: 14 Jun 2026

Explore novel insecticidal proteins to develop sustainable crop protection methods. Use molecular biology and toxicity testing techniques while collaborating with industry leaders. Contribute to reducing chemical pestic…

The research aims to deliver sustainable crop protection by developing bio-based insecticidal proteins. This reduces the environmental and …

Enzymology biochemistry
Rewiring Cancer Targets Through Proteome-Wide Discovery of Molecular Glues
Imperial College London Professor Ed Tate 🎓 Biochemistry 🎓 Molecular Biology Deadline: 21 May 2026

Explore how molecular glues can rewire protein interactions to target cancer. Develop proteomic and data-driven methods to discover new drug modalities across the entire proteome.

This research could transform cancer treatment by enabling drugs to target previously inaccessible proteins through induced proximity mecha…

14299+ citations · h62
Chemical Biology