Monash University
About Monash University
Basic information and contact details for Monash University
Monash is Australia’s largest university. A member of Australia’s prestigious Group of Eight universities, Monash has more staff, more students, more courses and more campuses around the globe than any other Australian university.
In under 60 years, we’ve grown from a single campus into an education and research powerhouse with a presence on four continents, committed to solving the challenges of the age. Our work is making an impact all over the world, from bringing clean water in informal settlements to creating new, life-saving medicines.
Monash at a glance
- Ranked in the world’s top 100 universities*
- Ranked #57 in the world for employability**
- 100+ partner Universities
- 900+ study abroad experiences
- 17,000+ staff
- 22:1 academic staff student ratio
- 77,000+ students from more than 170 countries
- 300,000+ alumni network across the world
- Located in one of the World’s most liveable cities***
*Times Higher Education Rankings 2019
** Global University Employability Rankings 2017
*** Economist Intelligence Unit 2018
Rankings
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Impact Rankings
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Key Student Statistics
A breakdown of student statistics at Monash University
- Student gender ratio
- 54 F : 46 M (1)
- International student percentage
- 36% (1)
- Students per staff
- 30.6 (1)
- Student total
- 56287 (1)
Based on data collected for the (1) World University Rankings 2026
Jobs you might be interested in
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MSN - Post Doc Position in Encapsulation of Active Materials for Carbon Capture and Utilization
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
POST DOC POSITION IN ENCAPSULATION OF ACTIVE MATERIALS FOR CARBON CAPTURE AND UTILIZATION – JOINTLY WITH UNIVERSITY OF WATERLOO, CANADA 12716 We are looking for a motivated PDRA candidate to investigate the encapsulation of active materials (liquids or solids) for developing innovative CO2 Capture and Utilization (CCU) processes. This position is motivated by the fact that many attractive options for CCU solvents suffer from their high viscosity, limiting thus the absorption kinetics. While benchmark alkanolamine-based aqueous liquids suffer from potential environmental impacts from solvent release. Encapsulating absorbents within polymer- and/or nanomaterial-based shells represents a promising solution. The successful candidate should elaborate novel solutions to encapsulate innovative solvents (e.g., Deep Eutectic Solvents, Ionic Liquids, Porous Liquids or bio-based solid materials) to enhance not only the chemical and thermal stability of the polymer shell and the filled beads but also the surface area of the functional shell. A particular attention will be also placed on the surface properties to tune the selectively of the shell to allow the permeation to specific gases, like the CO2, while prevent permeation of other species, like H2O. By following this strategy, encapsulated solvents (sorbents) should keep their own performance by taking advantage of the high surface area of the shell. The proposed beads should be both chemically and mechanically stable under typical industrial conditions moving from post-combustion process to direct air capture (DAC) technology. However, there will be a particular focus on DAC. Job Description : The successful candidate will carry out duties to the highest standard and will: Undertake original research of international excellence. Develop research objectives and proposals for own and/or collaborative research projects. Publish papers in leading journals and present research findings at national/international conferences, workshops, and meetings to effectively disseminate the results and contribute to successful research outputs. Communicate the development, progress and results of research activities to the team, Communicate the development, progress and results of research activities to the team to ensure that relevant information and issues in the implementation of projects/experiments are captured in as comprehensive and timely manner as possible.. Establish collaborative links with the core scientific personnel in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify areas of improvement within the research structure using integrated management approaches in pursuit of capacity building/strengthening and the preservation of scientific rigor in research studies. Support if required, the development of proposals for research funding. Candidate PROFILE : A PhD in Organic Chemistry, Polymer Science, or related subject. Expert in the interfacial phenomena and encapsulation of materials in solid or liquid state. Expert in the materials (polymers and nanomaterials) synthesis and characterization. Good knowledge in Thermodynamics and Fluid Phase Equilibrium are also requested. Knowledge about carbon capture technologies will be preferred Associated Skills : Experience working on a project combining organic materials synthesis, purifications, and their characterization. Proven past experiences on the preparation and characterization of polymers and encapsulated materials. Ability to work independently and as part of a multidisciplinary and multicultural team. Proven ability of working with projects partners to reach their objectives timely. Excellent networking ability and organizational skills. Proven and distinct work experiences in academia and/or industries and/or abroad are highly requested. Ability to generate new ideas, links, and builds upon existing ones to generate unique concepts and solutions. Experience in co-supervision and coordination of masters and PhD level students. Excellent communication in both English and French languages. Good publication track record in peer-reviewed journals with respect of the career development. Willingness to work on an international team and travel between Morocco and Canada. Team Members : UM6P – Dr. Johan Jacquemin University Of Waterloo (Waterloo) – Dr. Sushanta Mitra (Mechanical Engineering, Waterloo Institute for Nanotechnology), Dr. Milad Kamkar (Chemical Engineering, Waterloo Institute for Nanotechnology), Dr. XiaoYu Wu (Mechanical Engineering, Waterloo Institute for Nanotechnology) Program Details: UM6P will be the administrative body for the program, where candidates will apply to the UM6P Postdoctoral Program and will be formally employed as a Postdoctoral Fellow (PDF) by UM6P. Candidates will be paid through the UM6P administration for the entire length of the program. The salary is $2,000 USD/month (approximately $2,700 CAD per month), as guaranteed by UM6P for the entirety of the program. Waterloo co-supervisors may offer additional funding support to the candidates for their residency at Waterloo. The amount and duration of additional funding will be determined on a case-by-case basis. The program duration will normally be three years; during this time the residency will be split between the UM6P and Waterloo campuses. Candidates will spend a maximum total residency of two (2) years at Waterloo and a minimum total residency of one (1) year at UM6P. The details and schedule will be determined upon mutual agreement by the candidates and their respective UM6P and Waterloo co-supervisors.
Salary
The salary is $2,000 USD/month (approximately $2,700 CAD per month)
Posted
13 Mar 2026
ACER CoE - Post Doctoral Fellowship, Development of a 'Battery Management System' for Lithium-Ion
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Post Doctoral Fellowship: Development of a 'Battery Management System' for Lithium-Ion Batteries (11834) About UM6P : Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About ACER CoE: The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Project description: The Lithium-ion battery comprises multiple individual units known as "cells." Any deterioration or degradation in a single cell directly impacts the battery's overall performance and lifespan. Therefore, it is crucial to have a monitoring system in place for close oversight of this critical component. The battery management system (BMS) unit is not just a component, but a crucial element tasked with monitoring each cell of the battery and running algorithms to calculate state of charge (SoC), overall health, and more. For instance, in electric vehicles, the BMS carries out functions such as monitoring, controlling, optimizing, and ensuring safety to mitigate potential hazards related to battery performance. Its role is pivotal in the overall performance and safety of the vehicle, underscoring the importance of our work in this field. Various algorithms, models, and signals control different components of the BMS in lithium-ion batteries, including sensors, actuators, and controllers. In our facility, we are establishing a research unit focused on developing the necessary hardware and software components of a BMS to keep pace with the advancements in lithium-ion battery technology. Candidate Profile: Ph.D. in Electrical Engineering or related field. An in-depth expertise in batteries and renewable energy systems including fault detection, diagnosis, and performance improvement methods. Mastery of dynamic reconfiguration approaches. Mastery of power converters. Mastery of software tools including MATLAB, PSIM, Proteus, LabVIEW, SketchUp, SolidWorks, etc. Knowledge of microcontrollers, STM32, FPGAs, etc. Knowledge of communication protocols such as I2C, SPI, Profibus, Modbus, CAN, MQTT, and HTTP. Knowledge of the ROS environment. Undertake original research of international excellence. Engage in innovative international research of outstanding quality. Prepare papers for indexed journal publications, propose invention patents, and/or actively participate in sharing results at national and international conferences, workshops, and meetings. Communicating the development, progress, and results of research tasks to the research project team to identify the requirements for future activities. Develop collaborative links with the core scientific staff in related program areas to gain exposure and build knowledge on experimental/research activities and approaches and improve conceptual development and implementation. Participate actively in the drafting of research project proposals and the pursuit of funding opportunities. Supporting the purchase of appropriate equipment and managing relationships with international suppliers. Actively participate in supervising PhD students, guiding them through their research projects. Participate in national and international events related to the theme. Management of research projects. Candidature Submission: Applicants should submit: Cover letter outlining research experience and achievements and stating research interests. Curriculum Vitae with a list of publications. Three references who are not UM6P faculty. One reference letter UM6P.
Salary
Competitive
Posted
13 Mar 2026
CBS - Postdoctoral Research Fellow in Antimicrobial Resistance and Resistome Mapping
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Institution/Department Mohammed VI Polytechnic University Chemical & biochemical sciences.green process engineering Research Unit on Microbiome and Host-Pathogen Interactions Project Overview: We are looking for a highly motivated Postdoctoral Research Fellow to join our interdisciplinary team focused on antimicrobial resistance (AMR). The selected candidate will have a vital role in an innovative project that aims to map the resistome and clarify the mechanisms of multidrug resistance across diverse microbiomes—comprising clinical, environmental, and host-associated microbial communities. This project seeks to comprehend how antimicrobial resistance genes (ARGs) disseminate within microbial populations via horizontal gene transfer (HGT) and mobile genetic elements (MGEs) and how these processes affect human health, particularly regarding colorectal cancer (CRC). Key Responsibilities: Perform shotgun metagenomics and whole-genome sequencing (WGS) on microbial samples from various environments (clinical, environmental, tumor-associated microbiomes). Develop and implement bioinformatics pipelines for resistome, mobilome, and virulome profiling using tools such as MEGARes, CARD, VFDB, and PlasmidFinder. Investigate horizontal gene transfer (HGT) dynamics and plasmid-mediated dissemination of ARGs across microbial communities. Conduct phylogenetic and comparative genomic analyses to uncover the evolution of multidrug resistance in pathogenic bacteria. Analyze co-occurrence networks between resistance genes, virulence factors, and mobile elements in microbiome datasets. Collaborate with clinical partners and microbiome researchers to integrate multi-omics data for comprehensive resistome analysis. Publish high-quality research articles and present findings at international conferences. Contribute to grant writing and development of new research proposals. Required Qualifications: PhD in Microbial Genomics, Bioinformatics, Molecular Microbiology, Infectious Disease Biology, or a related field. Proven experience with high-throughput sequencing technologies (Illumina, Nanopore) and metagenomic analyses. Strong background in bioinformatics tools for microbiome analysis (QIIME2, Kraken2, MetaPhlAn) and AMR gene identification (MEGARes, CARD, ResFinder). Proficiency in Python, R, or Perl, with experience in Linux/Unix environments. Solid understanding of antimicrobial resistance mechanisms, horizontal gene transfer, and mobile genetic elements. Evidence of scientific publications in peer-reviewed journals. Excellent communication and teamwork skills. Preferred Qualifications: Experience in clinical microbiome research, oncology microbiomes, or environmental resistome surveillance. Familiarity with spatial metagenomics, single-cell microbiome analysis, or multi-omics data integration. Knowledge of machine learning approaches for resistome prediction or biomarker discovery is a plus. Why Join Us? Access to cutting-edge technologies (mass spectrometry, next-gen sequencing, high-performance computing). Work on high-impact research addressing one of the urgent challenges in global health—antimicrobial resistance. Collaborate with a multidisciplinary team of microbiologists, bioinformaticians, clinicians, and data scientists. Opportunity to lead high-profile publications and contribute to international consortia. Career development support, including grant writing, conference funding, and training opportunities. Application Process: Applicants should submit the following in a single PDF file: A Cover Letter explaining their interest and fit for the position A detailed Curriculum Vitae (CV) Names and contact details of 2–3 references Up to three key publications (optional)
Salary
Competitive
Posted
13 Mar 2026
ACER CoE - Postdoctoral Researcher in Chemical Engineer (Adsorption/Membranes)
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About ACER CoE: The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing on different research fields such as catalysis, separation, energy generation, conversion and storage, and organic optoelectronics intelligent and advanced polymers and materials. Job description: The successful candidate will: Conduct original and high-quality research in adsorption-based separation and/or membrane technology. Develop novel adsorbents and/or membranes for gas or liquid storage and separation applications. Characterize adsorption and transport properties using advanced analytical techniques. Prepare high-impact research papers for publication in leading peer-reviewed journals and present findings at international conferences, workshops, and meetings. Collaborate with multidisciplinary teams and engage in knowledge exchange with industry and academic partners. Contribute to the preparation of research proposals for external funding. Support the supervision of graduate students and assist in guiding their research projects. Assist in the development of undergraduate and postgraduate courses and modules. Facilitate the acquisition of necessary laboratory equipment and interact with international suppliers when required. Candidate Profile: The ideal candidate should have a strong background in Chemical Engineering, Materials Science, or a related field with expertise in adsorption and/or membrane-based separation technologies. The following qualifications and skills are expected: PhD in Chemical Engineering, Materials Science, Chemistry, or a related field. Expertise in adsorption or membrane-based separation technologies (e.g., gas separation, water treatment, or CO₂ capture). Strong knowledge of adsorption isotherm models, mass transport mechanisms, and surface chemistry. Experience in synthesis, functionalization, and characterization of adsorbents or membranes. Proficiency in advanced characterization techniques, such as BET, FTIR, XRD, SEM, TEM, TGA, ICP, and gas sorption analysis. Good understanding of process design for adsorption or membrane-based separation. Strong track record of publications in reputable peer-reviewed journals. Excellent communication skills (oral and written) in English. Ability to work independently as well as in a multidisciplinary research team. Prior experience in student supervision and research coordination is a plus. Candidature Submission: Applicants should submit the following documents: Cover letter outlining research experience, achievements, and future research interests. Curriculum Vitae (CV) detailing academic and research experience. List of publications in peer-reviewed journals. Contact information of three referees (who are not current UM6P faculty). Recommendation letters (if available).
Salary
Competitive
Posted
13 Mar 2026
VANGUARD - Postdoc in Network Tensor Completion
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
About Mohammed VI Polytechnic University (UM6P): Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, was established to serve Morocco and the African continent and to advance applied research and innovation. This unique university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the department Vanguard works on the development of innovative and interdisciplinary applied research projects. From technological innovation to the transfer of research to industry, Vanguard has also the mission of developing an ecosystem of related start-ups. For more information about our Center, please visit our webpage: https://vanguard.um6p.ma/ Offer description: There are many systems of interest to scientists that are composed of individual parts or components linked together in some way. Examples include the Internet, a collection of computers linked by data connections, human societies, which are collections of people linked by acquaintance or social interaction, transportation systems and biological interactions. These systems are represented as networks. A network is a set of objects that are connected to each other in some fashion. Mathematically, a network is represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the edges represent relationships between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between the objects. Many real world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation. The train and bus routes are different types of connections and should in some models be represented by different kinds of edges. These kind of situations can be modeled using multilayer networks which emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well. In order to capture the structure and complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be represented by a 4th order tensor A 2RN_L_N_L where L is the number of the layers (transportation means) and N is the number of nodes (stations or stops). Using convenient tensor products, the goal is to define measures to analyze different multidimensional networks based on their adjacency tensors. However, collecting all the interactions in the systems and sometimes even observing all the components is a challenging task. In most cases, only a sample of a network is observed. Therefore, network completion needs to be addressed. Matrix completion methods have proved to be efficient when reconstructing a non fully observed data. These methods can be applied to complete or predict links in a network. However, missing information in a network can include both missing edges and nodes which makes classical matrix completion method insufficient. However,we may collect other information and features about the elements of the network. Therefore, side information about the nodes along with the observed edges need to be exploited. The problem of network completion arrises also for applications where the network has a multidimensional representation such as multiplexes and multilayer networks. Since multidimensional networks can be represented by tensors, one can think of applying tensor completion methods which have proved to be efficient in many applications such as image and video reconstruction. However, the same issue arises, tensor completion methods can not be directly applied to recover the links of the network giving the fact that the data is sparse most of the time. We aim to use auxiliary information about the multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover missing links in a multilayer network with connected components. An important constraint in network completion is that the factorization must only capture the non zero entries of the tensor. The remaining entries are treated as missing values, not actual zeros as is often the case in sparse tensor and matrix operations. Therefore, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing multidimensional networks by studying the theoretical foundations behind randomized algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel algorithms and methodologies for tensor completion in multidimensional networks. This includes exploring optimization techniques, tensor decompositions, and incorporating auxiliary information for more accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different measures and metrics for characterizing network connectivity and relationships. Sparse Optimization: Address the challenge of sparse optimization for tensors by integrating randomized algorithms into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social sciences. This involves effective communication and coordination to ensure the successful integration of mathematical methods into practical systems. Publication and Dissemination: Publish research findings in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course of the project. Mentorship and Training: Provide mentorship and guidance to graduate students and junior researchers involved in related projects. Share expertise and knowledge in applied mathematics, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired.
Salary
Competitive
Posted
13 Mar 2026
Subjects Taught at Monash University
See below for a range of subjects taught at Monash University
Arts and Humanities
- Archaeology
- Architecture
- Art, Performing Art and Design
- History, Philosophy and Theology
- Languages, Literature and Linguistics
Business and Economics
- Accounting and Finance
- Business and Management
- Economics and Econometrics
Computer Science
- Computer Science
Education Studies
- Education
Engineering
- Chemical Engineering
- Civil Engineering
- Electrical and Electronic Engineering
- General Engineering
- Mechanical and Aerospace Engineering
Law
- Law
Life Sciences
- Biological Sciences
- Sport Science
Medical and Health
- Medicine and Dentistry
- Other Health
Physical Sciences
- Chemistry
- Geology, Environmental, Earth and Marine Sciences
- Mathematics and Statistics
- Physics and Astronomy
Psychology
- Psychology
Social Sciences
- Communication and Media Studies
- Geography
- Politics and International Studies
- Sociology