结合近红外光谱（NIRS）技术与人工智能（AI）检测水中的 AMR 耐药微生物

本博士项目利用近红外光谱技术（NIRS）与人工智能技术，快速检测水中的抗药性微生物。 该研究旨在识别与多重耐药肠杆菌相关的独特生物标志物，并制定标准化的扫描方案用于现场检测，以克服传统 AMR 监测技术的局限性。

Project description: Culture based methods and molecular techniques such as polymerase chain reaction and metagenomics are used for AMR monitoring in water environments. However, culture-based methods are time consuming and molecular techniques are costly and require prior knowledge for target genes whereas metagenomics are costly and require integration of other omics data for functional insights. The aim of this PhD project is to test the ability of Infrared light technique for rapid detection of the most common bacteria related to AMR i.e. multidrug-resistant (MDR) Enterobacterales. We will focus on extended-spectrum beta-lactamases and Carbapenemase-producing Enterobacterales in E coli, Klebsiella and Enterobacter. We will identify unique biomarkers associated with these bacteria, develop a standard scanning protocol for field testing and test on a preliminary scale the protocol in the real-world settings to detect AMR organisms in water. Project outcomes: We will determine unique NIR biomarkers for several bacteria associated with AMR in water samples, develop AI algorithms for them. Research environment: You will have access to state-of-the-art tools and technologies for infrared analysis within the school of the Environment and molecular analysis of bacteria samples at UQCCR. You will also have the opportunity to work nationally and internationally with leading experts in Australia and around the world.

Preferred educational background: Your application will be assessed on a competitive basis. We take into account your: previous academic record publication record honours and awards employment history. A working knowledge of molecular biology, sequencing, clinical bacteria, machine learning would be of benefit to someone working on this project. You will demonstrate academic achievement in the fields of clinical bacteria and molecular techniques including sequencing and data analysis and the potential for scholastic success. A background or knowledge of clinical bacteria, molecular technologies including qPCR and genome sequencing, manuscript writing is highly desirable. This project is not available to international students

Scholarship: This project is supported by the Research project scholarship . Domestic applicants: This scholarship includes: living stipend of $45,000 per annum funding package of $21,000 for professional development tuition fees covered. International applicants: This scholarship includes: living stipend of $39,220 per annum tax free (2026 rate), indexed annually tuition fees covered. Learn more about the Research project scholarship .

申请方式： 国内申请者须于2026年12月31日提交意向表达（EOI）；国际申请者须于2030年12月25日提交。 在您申请之前 核实您获得哲学博士（PhD）的资格。 请准备您的相关文件。 您申请时 申请时须提交针对该项目的兴趣表达（EOI）。您无需分别申请该项目或奖学金。如何提交兴趣表达？ 在您的 EOI 中，请填写“奖学金/资助”部分，并包含以下详细信息： 您是否正在申请该招聘项目：是 项目：‘研究项目奖学金’ 广告中列出的奖学金代码：[会员信息]–SPECTROSCOPY 奖学金广告链接：[会员链接] 提交 EOI 申请