School of Energy and Environment - City University of Hong Kong

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Australia, Darlington


	Full time continuing at Matilda Centre at Usyd Camperdown campus
	Opportunity for a passionate, motivated, and innovative senior leader to join the Matilda Centre for Research in Mental Health and Substance Use
	Base Salary $150,628 + 17% superannuation


About the opportunity

The Matilda Centre is seeking a driven senior leader to join the Centre Executive as the Centre Operations Manager. The Operations Manager leads the Centre professional services team providing exceptional operational support services to academic and professional researchers, and plays a key role as a member of the Centre Executive, driving the strategic development of the Matilda Centre and its integration with University and Faculty services, activities, policies and governance.

Reporting to the Head, FMH Centres and Affiliated Institutes, in the Faculty of Medicine and Health, the Matilda Centre Operations manager is a key contributor to the strategic and operational development of FMH Centres, and plays an important role in driving change that has significant impacts on the daily operational and research tasks across FMH Centres. Responsible for Matilda Centre Operations, the Centre Operations Manager works closely with the Matilda Centre Director to deliver the Centre strategy.

Your key responsibilities will be to:


	provide leadership support and strategic advice on the development of the Centre, with consideration of the operational implications of strategic and other initiatives as a key member of the Centre Executive
	ensure the provision of the highest quality research support services across a broad suite of needs, including office management, research administrative support, budget and contract support, and engaging and connecting Centre researchers with University and Faculty processes and support teams
	ensure the operations of the Matilda Centre are undertaken to the highest standards, including operations to University and external policies and governance
	oversight and control of the Centre budget, providing timely and accurate information to the Executive to support budget planning and expenditure decisions
	undertake centre reporting and other activities required by the University Centres policy and Faculty requirements for Centre reporting
	lead and inspire staff, focusing on performance management, professional development, and career growth
	promote workplace safety, ensure legislative compliance, and mitigate risks effectively
	support projects and programs aimed at improving FMH Centre operations, and ensure Centre compliance with Faculty processes and effective engagement with Faculty support teams.


About you


	hold a tertiary qualification or equivalent combination of training and experience
	advanced expertise in strategy formulation, operational management, and decision-making
	proven experience in people management, including staff performance and development.
	demonstrated ability to interpret and apply legislation and policy in an academic context.
	strong capabilities in stakeholder engagement, negotiation, and collaboration.
	advanced skills in planning, project management, and analytical problem-solving
	proven commitment to diversity and inclusive work practices
	extensive broad administrative skills including complex budget and financial management, contracts and agreements, business data collection and reporting, research systems and processes
	extensive broad administrative skills including complex budget and financial management, contracts and agreements, business data collection and reporting, research systems and processes
	Strategic Thinking: Navigate complex landscapes to achieve university objectives
	Leadership: Inspire teams to deliver excellence while fostering a collaborative environment.
	Adaptability: Maintain composure and professionalism in dynamic circumstances
	Digital Proficiency: Leverage technology for operational efficiency
	Research Understanding: Navigate the unique legislative and funding environment of research.


Note:  University Shutdown: The University is closed for its annual seasonal break from Saturday 21 December 2024, returning to regular business operations on Tuesday 7 January 2025. During this period, the entire Recruitment Operations team will not be available to respond to enquiries.

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. This role requires valid work rights for Australia.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

As this position is located on an NSW Health site, it is a regulatory requirement to complete compulsory employment checks prior to starting in this position. For more information and instructions, please visit:NSW Health employment requirements

This position is designated as involving child-related work. To undertake or remain in this position, you are required to apply for and obtain a Working with Children Check clearance in accordance with the Child Protection (Working with Children) Act 2012.

EEO statement

At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ+. We welcome applications from candidates from all backgrounds.

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion.

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Deepna Chand, Recruitment Operations by email to Deepna.Chand@sydney.edu.au 

Copyright The University of Sydney

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

Applications Close

Sunday 19 January 2025 11:59 PM


The University of Sydney

United Kingdom, Glasgow

Closing date: 03/02/2025
Salary range: £36,924 - £45,163 (Pro Rata)
FTE: 0.8 (28 hours/week)
Contract Type: Fixed Term (18 months)

The Department of Psychological Sciences and Health is recruiting a Research Associate to work with Dr Dwight Tse on the ESRC-funded project “A Comprehensive approach to enhance Older adults' Preparedness for Extreme temperatures (COPE)”. This is a joint project with researchers at University of Exeter and international collaborators (e.g., Canada, Hong Kong, Israel, Sweden) to enhance older adults' preparedness for extreme heat by co-developing localised adaptation and mitigation strategies with community partners, integrating their lived experiences to improve health, safety, and well-being. This post is available on 01 May 2025 (start date is flexible), for a fixed term of 18 months.

As a Research Associate, under the general guidance of Dr Dwight Tse, you will develop research objectives and proposals, play a lead role in relation to a specific project/s or part of a broader project, conduct individual and/or collaborative research, contribute to the development of new research methods, identify sources

For informal enquiries, please contact Senior Lecturer in Psychology, Dwight Tse (dwight.tse@strath.ac.uk)

please click here for further details.pdf


University of Strathclyde

Australia, Melbourne


	Full-time, 3-year Fixed Term position
	Salary Academic Level A ($77,649 - $105,323) or Level B ($110,868 - $131,659 ) depending on the qualifications and experience + 17% Superannuation 
	Based at the Melbourne CBD campus, but may be required to work and/or be based at other campuses of the University


About the Role

This position will be employed as part of the newly awarded ARC Linkage grant, titled "Secure Management of Internet of Things Data for Critical Surveillance," with RMR Process Pty Ltd as the industry partner. This position will primarily be responsible for designing, implementing, and testing sensing, monitoring, and information systems for industry applications. While a PhD degree is not required, this position should have industry experience in integrating sensing, secure networking, data management, and data visualisation systems and a good understanding of industry needs. Extensive publications are not necessary, but a few in reputable venues (e.g., A* conferences/journals) are desirable.

About You

Essential criteria


	Industry Experience: Demonstrated industry experience in managing, building, and testing large-scale distributed computing systems (e.g. Edge, IoT, I4.0), evidenced by involvement in several industry projects.
	Technical Experience:  exposure to Python, JavaScript, Node-Red, Ladder Logic, Structured Text, or equivalent, knowledge of AWS and other cloud technologies, knowledge of PostgreSQL, Grafana, and other database and dashboard systems, knowledge of MQTT, OPC UA and other industrial communication protocols, basic electronics and sensor integration.
	Work Ethic: A strong work ethic with the ability to work independently and as part of a broader team, including collaboration with industrial partners.
	Interpersonal and Communication Skills: Excellent interpersonal and communication skills suitable for interacting with higher-degree research candidates, staff, and industry partners, coupled with a strong commitment to teamwork and multidisciplinary collaboration.


Desirable criteria


	Research Experience: Proven research experience in sensor networks or I4.0 systems, demonstrated by a few top-tier publications. The candidate should have minimal publications in lower-rate conferences and journals, with preference for A*-rated venues.
	Research Track Record: An emerging track record and recognition for quality research outputs in sensing, information, and data management systems, including developing new research initiatives, securing competitive research funding, and establishing industry links.


Qualifications: An undergraduate/postgraduate in Computer Science/Engineering related field is desirable

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

To Apply

Please submit your CV, cover letter, and separately address the Key Selection Criteria for this position by clicking on the 'Apply' link above.

For further information about this position, please see the Position Description below or contact Associate Professor Ben Cheng, Manufacturing, Materials and Mechatronics Discipline at ben.cheng@rmit.edu.au

Applications close on Thursday, 9th of January 2025.

Position Description - Research Fellow

Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page.

About RMIT University

RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work.

https://www.rmit.edu.au/about

https://www.universitiesaustralia.edu.au/university/rmit-university

Why work at RMIT University

Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice.

We want to attract those who will make a difference. View RMIT's impressive standings in university rankings.

https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings

Bring Your Whole Self to Work

We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond.

We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins.

RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples.

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Kassie (Senior Talent Acquisition Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

We are a Circle Back Initiative Employer - we commit to respond to every applicant.


RMIT University

Australia, Adelaide


	Based in the UniSA Allied Health and Human Performance unit at the City West campus
	Part-time (0.8 FTE), fixed term contract until 15 January 2027
	Salary: $100,322 - $133,388 (pro rata) per annum (plus 17% superannuation)


About the Role

The Research Associate or Fellow will investigate the roles of human endogenous retrovirus (part of human genome sequences) on motor neuron disease. In this position, you will conduct research activities primarily through statistical genetic analysis of large-scale multi-omics data on motor neuron disease. This position will offer the opportunity to work at all levels of research from establishing research questions through to publishing high quality research outputs.

About UniSA

The University of South Australia is Australia’s University of Enterprise. Our culture of innovation is anchored around global and national links to academic, research and industry partners. Our graduates are the new urban professionals, global citizens at ease with the world and ready to create and respond to change. Our research is inventive and adventurous and we create new knowledge that is central to global economic and social prosperity.

Allied Health and Human Performance

At UniSA Allied Health and Human Performance, we shape community wellbeing by educating future health professionals, producing graduates who contribute to the future health workforce. We deliver solutions-based research that addresses global health needs, working with industry and the community to solve critical health challenges. 

Core Responsibilities


	Contribute to research planning by participating in sessions, offering ideas, reviewing literature, writing papers, and attending seminars
	Contribute to research execution by managing and analysing data, exploring new methods, seeking information from various sources, and assessing resource requirements
	Contribute to disseminating knowledge by drafting reports and papers, and attending meetings and conferences
	Contribute to the preparation and development of grant and tender applications, including undertaking power calculations, literature searchers, and other tasks as required
	Contribute to the supervision of Honours, Masters and PhD students, as required


Essential Skills and Experience  

Level ARAS 


	Postgraduate qualifications in a relevant field (e.g., quantitative genetics, statistics, bioinformatics, computer programming, epidemiology)
	Knowledge and understanding of statistical genetics and experience with the analysis of complex traits
	Experience in computer programming, including working with databases and handling large data files
	A developing research record demonstrated by publications, conference papers, and other research activities
	Strong verbal and written communication skills, with the ability to present information clearly to diverse audiences and work collaboratively in a multidisciplinary team


Level BRF


	PhD in a relevant field (e.g., quantitative genetics, statistics, bioinformatics, computer programming, epidemiology) with postdoctoral research experience
	Demonstrated knowledge and extensive experience in statistical genetics and the analysis of complex traits
	Proficiency in computer programming, including database communication and handling large data files
	An evolving research record with publications, conference papers, and other research activities
	Strong verbal and written communication skills, with experience in presenting information to diverse audiences and working collaboratively in multidisciplinary teams, alongside high-level problem-solving and organizational abilities


Benefits

Getting a great job working with the best is just the start. UniSA rewards its staff with a wide variety of benefits such as:


	Generous superannuation contributions of 17%
	Flexible working conditions
	Employee assistance and development programs
	A range of salary packaging options, including vehicle leasing, laptops and car parking fees
	Various on-site services available at our campuses which may include on-site gym membership


Culture

At the University of South Australia, we value workplace diversity and are committed to providing a supportive, inclusive, and respectful work environment for all people. We strongly encourage applications from Aboriginal and Torres Strait Islander Peoples, women, members of the LGBTIQ+ community, people of culturally diverse backgrounds and people with disability.  

Start Your Unstoppable Career!  

For a copy of the position description and to apply, please visit Working at UniSA. The online application form will list the specific selection criteria that you need to address.  

Please address your cover letter to Laura Gomes, Consultant: Recruitment Central. For further information about the position or the recruitment process, please contact UniSA Recruitment Central on +61 8 8302 1700 or via email at recruitment@unisa.edu.au using job reference number 6854. 

Applications close: 11:30pm Sunday 12 January 2025

We are committed to providing an equitable and barrier free recruitment process and encourage you to share any support, adjustments and/or access requirements you have by contacting our Recruitment Central team on recruitment@unisa.edu.au. Anything you tell us will be kept completely confidential.  

Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment. 

CLICK HERE for Position DescriptionOpens in new window

How to apply:a


	Preview Application FormOpens in new window


Applications must be lodged online, please note UniSA does not accept applications via email.


	Start your application by clicking the ‘BEGIN’ button
	If you have already registered for an account, please login before starting your application
	If you have forgotten your log in details, click here to reset your password
	You will be able to save your progress throughout your application


UniSA is committed to developing a diverse workforce and a constructive enterprising culture in which everyone can thrive.

IMPORTANT: This site is optimised for the latest versions of Internet Explorer, Safari, Firefox and Chrome. Note that earlier versions of any browsers mentioned are supported, but likely to demonstrate slower response times.

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University of South Australia

Finland

Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with the Finnish Center for Artificial Intelligence (FCAI), the Centre for AI Fundamentals at the University of Manchester, the Alan Turing Institute, ELLIS and the new ELLIS Institute Finland, and researchers from other fields.

Prof Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of Finnish Center for Artificial Intelligence and ELLIS Unit Helsinki. His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other topics below).

Topics

Machine learning foundations

Keywords: probabilistic modelling, Bayesian inference, simulation-based / likelihood-free inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, privacy-preserving learning, Bayesian deep learning, generative models

We are looking for a new postdoc in the team which develops probabilistic modelling and Bayesian inference methods. The team has several exciting new machine learning formulations we work on, and opportunities for applying the methods with top-notch collaborators. The core is always development of new methods, and with this call we are looking for talented researchers with background in machine learning, stats or CS (or other directly relevant topics) who are keen on developing the new methods. In the cover letter, let us know what you are interested in - if we are already working on it, all the better, but we are willing to listen to new ideas too.

Machine learning for synthetic biology and biodesign

Keywords: AI-based design, human-in-the-loop machine learning, collaborative AI, molecular modeling, graph neural networks, deep learning algorithms, generative models

We are searching for early career scientists to join our research team working towards next-generation machine learning methods for synthetic biology. The positions are available in two large multi-year projects (BIODESIGN and BIOFOUNDRY) focused on establishing virtual laboratories for protein engineering and biomanufacturing, implemented in collaboration between FCAI and VTT Technical Research Centre of Finland, and NSF Global Center on biofoundries. The aim of the projects is to design novel AI-based tools for bioengineering. These tools will combine cutting edge machine learning techniques, such as graph neural networks, deep generative models, Bayesian optimization, and human-in-the-loop learning with the synthetic biology expertise of VTT. The virtual laboratories are envisioned to have a wide range of applications in industry (e.g., new biochemicals, biomaterials and drugs), and to help the transition to a carbon-neutral society.

Applicants should have a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: AI-based design, Deep learning algorithms, Generative models, Human-in-the-loop machine learning, Collaborative AI, Molecular modeling, Reinforcement learning, Structured prediction.

The successful applicants will join a world-class research team with top AI researchers from FCAI and synthetic biology experts from VTT.

Real-time AI-assistance with computationally rational user models

Keywords: collaborative AI, human-in-the-loop ML/RL, reinforcement learning, user modelling

Despite recent advances in AI and machine learning, there are few AI solutions that can be applied when we cannot precisely specify the objective or do not have suitable data to learn from. This is particularly salient and challenging in ad hoc assistance for human users in complex tasks such as scientific discovery. 

This project aims to address this issue by learning these objectives, and to assist, directly from interaction with the users. To do so, we develop reinforcement learning techniques for AI-assistants and computationally rational user models that take into account factors such as cognitive biases to reason about human decision-making. We push state-of-the-art in AI that, through inference over - and planning with - such user models, is able to tackle problems that are otherwise out of reach of mainstream AI solutions. 

Supported by a High-performance computing grant from the Research Council of Finland, we are looking to strengthen this team with postdocs with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the fields listed under this topic is beneficial.

Team: this project will be carried out with a top expert on computational rationality, Prof. Andrew Howes of University of Exeter,  and experts in application domains.

Next generation distribution shifts

Keywords: distribution shift, out-of-distribution generalization, robust deployment, deep learning, experimental design

Robust algorithms for machine learning models are vital as the deployed scenario can differ from the training scenario in unexpected ways. Placing assumptions on the kind of distribution shift we expect, such as covariate or label shift, and accounting for it during training is common practice. However, these assumptions are often too restrictive for real-world settings, as the shifts encountered are typically more complex. Moreover, it is difficult to know a priori which shifts we need to account for. This project focuses on developing novel machine learning methods  that demonstrate robust performance by adapting to unforeseen shifts and diverse datasets during deployment.

We are looking for applicants with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: distribution shift, out-of-distribution generalization, out-of-domain generalization, sequential experimental design.

Your experience and ambitions

We expect the candidates to hold or be close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning.

Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary.

What we offer

We provide

RESEARCH ENVIRONMENT

You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and our new ELLIS Institute Finland, Centre for AI Fundamentals of the University of Manchester, the Turing Institute, and a number of excellent researchers in other fields in our applications. 

JOB DETAILS

Postdoc positions are typically made for up to three years. Starting dates are flexible. All positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically increased as the experience grows. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.

Ready to apply?

Submit your application through our recruitment system Workday by the link below. The deadline for applications is  February 2 2025 at 23:59 Finnish time, 2024.

Required attachments


	Cover letter (1–2 pages). 
	CV
	List of publications (please do not attach full copies of publications)
	A transcript of doctoral study
	The degree certificate of your latest degree. If you don’t yet have a PhD degree, a plan of completion must be submitted.
	Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.


All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Please note: Aalto University’s employees should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account.

Contacts: Coordinator Fang Wang (fang.wang@aalto.fi)

More Information

We are part of Finnish Centre for Artificial Intelligence FCAI and ELLIS Unit Helsinki. More information on their pages, and the frequently asked questions on this page.  

Aalto University (53rd in the Times Higher Education THE ranking list of most international universities in the world) is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 12 000 students and a staff of more than 4000, of which 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the largest computer science unit in Finland. Computer science research at Aalto University ranks high in several prominent surveys (47th worldwide and 9th in Europe in Shanghai subject ranking 2019; and 56th worldwide in Times Higher Education subject ranking 2020).

About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland

More info:

twitter.com/fcai_fi
linkedin.com/company/fcai
youtube.com/channel/UC7nUhposDgxzDOKns_H5J0w
Newsletter: http://eepurl.com/gVPBpf

Aalto.fi 

twitter.com/aaltouniversity 
facebook.com/aaltouniversity
instagram.com/aaltouniversity

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


Aalto University

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