Kozminski University

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Australia, Camperdown


	Part time fixed term (0.60 FTE)12 month role at Camperdown-hybrid work arrangement supported
	Be part of a community-led initiative addressing a crucial gap in mental health support for culturally and linguistically diverse (CALD) LGBTQ+ youth in Western Sydney.
	Base Salary $101,318- $116,679 (pro rata for 0.60 FTE)+ 17% superannuation 


About the opportunity

The University of Sydney Susan Wakil School of Nursing and Midwifery (Sydney Nursing School) is the school of choice to nurture global citizens in health and wellbeing. We are currently ranked #1 in Australia and #14 globally in the QS World University Rankings by Subject. Our experienced staff, many of whom work in frontline healthcare services, make a real difference to the healthcare landscape in Australia and internationally.

Sydney Nursing School offers a supportive and collegial environment with many opportunities for professional development. We are committed to providing a workplace that is inclusive and diverse and we encourage applications from suitably qualified and experienced individuals, including women, members of visible minorities, Aboriginal and Torres Strait Islander peoples, and persons with disabilities. Applicants who are willing to embrace our vision and are interested in driving forward our strategy for continuously improving our research impact, student experience, and a respectful, collaborative, culturally safe and person-centred workplace culture are strongly encouraged to apply.

We are seeking a Research Associate to support Dr Horas Wong and the team in a community-led initiative addressing a crucial gap in mental health support for culturally and linguistically diverse (CALD) LGBTQ+ youth in Western Sydney.

This innovative project focuses on developing a multilingual online information hub and a suicide awareness campaign using a co-design methodology. As a Research Associate, you will play a key role in advancing the project's mission to enhance mental health outcomes and reduce stigma around mental health and suicide in this underrepresented community.

Your key responsibilities will be to:


	Conduct needs assessments using both qualitative and quantitative methods to understand the unique mental health challenges faced by CALD LGBTQ+ youth
	collect and analyse data throughout the project's design, implementation, and evaluation phases
	facilitate community consultations to ensure alignment with local needs and priorities
	collaborate with the steering group, youth participants, and community organisations to promote inclusion and participation
	assist in planning and executing the design-a-thon event and related activities
	document activities and support the mentorship process during the design-a-thon
	contribute to the creation of the multilingual online information hub, integrating insights from research and community feedback
	ensure that resources are accessible, culturally relevant, and sensitive to the diverse needs of the target audience
	support impact assessments by analysing user engagement data and gathering feedback from focus groups
	prepare reports and insights to inform future mental health initiatives for diverse populations


About you


	Master's degree in nursing, social sciences, public health, or a related field (or equivalent experience) is required; a PhD is strongly preferred
	proficiency in both qualitative and quantitative research methodologies
	demonstrated strong experience in community-based research or projects focusing on young people, LGBTQ+ individuals, and/or CALD populations is highly desirable.
	a deep understanding of the intersectional challenges faced by CALD LGBTQ+ youth, particularly in the Western Sydney region
	exceptional written and verbal communication skills, including the ability to produce high-quality reports and deliver impactful presentations
	a proven track record of academic publications and presentations is highly preferred
	familiarity with project management tools and methodologies is an advantage


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.

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

Please note the University will be closed from 20/12/2024 and will reopen 06/01/2025. We will be interviewing for this role mid January 2025

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 Cecilia Blamey, Recruitment Operations by email to cecilia.blamey@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 12 January 2025 11:59 PM


The University of Sydney

Singapore

FACULTY OPENING FOR NURSING AT THE SINGAPORE INSTITUTE OF TECHNOLOGY

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society.

The university’s unique pedagogy integrates clinical practice education and academic endeavour, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with clinical impact is aimed at helping the healthcare and social services sector innovate and grow.

SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges.

As a young university, we encourage innovation and seek the right candidates to join us in realising our vision. We offer competitive remuneration, generous employment benefits, access to funding to undertake research of relevance to industry, and opportunities to inspire and nurture the next generation of skilled and work-ready graduates. We currently have positions available at all levels, from Lecturer to Full Professor, for the discipline- Nursing in the Health and Social Sciences Cluster.

Applicants should possess:


	an earned PhD in Nursing from a reputable university,
	a nursing practitioner license,
	extensive experience in:
	
		teaching nursing courses to students or professionals
		research work in the field of healthcare, particularly in nursing
		publication in nursing services and/or clinical research. 
	
	


The appointee will be expected to undertake funded clinical-relevant research and teach courses in healthcare and nursing.

Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below. Please contact the HSS Cluster Director, Associate Professor Tan Bhing Leet via HR_Faculty@singaporetech.edu.sg if you have any enquiries relating to these opportunities. 


Singapore Institute of Technology (SIT)

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

United Kingdom, London

Digital Programme Management Office

Location: Greenwich Campus
Salary: £56,921 to £65,814 plus £5400 London weighting per annum
Contract Type: Permanent
Closing Date: Sunday 12 January 2025
Interview Date: To be confirmed
Reference: 4810

Our Information and Library Services Directorate delivers award winning IT services and support, library, academic and digital skills and learning enhancement to staff and students across the university. Our digital mission is to ensure everyone in our community is equipped to effectively use digital services, data and technology with confidence, efficiency and creativity in their learning, teaching, research and organisational support.

To support the “This is Our Time” university strategy and our digital sub-strategy, we are seeking to appoint a dynamic and experienced Senior Project Manager to the Digital Programme Management Office to help deliver projects with an IT focus support.

The successful candidate will be responsible for managing a varied portfolio of projects supporting the delivery of the Digital Strategy as well as championing the cause of project management and providing a ‘centre of excellence service’. This is an exciting time to join the University as we continue to support the University of its 2030 Strategy.

Applicants should possess demonstrable experience of managing a range of complex projects including both infrastructure and development projects and those with Business Change, have exceptional written and verbal communication skills and possess relevant professional certification.

To find out more about our team, visit our Digital Recruitment webpage.

For an informal discussion about the post please contact Rayna Lloyd on ils-admin@greenwich.ac.uk

Should you have any queries please contact the People Directorate Team on peopleoperationsils@greenwich.ac.uk

We operate a hybrid working policy, as set out in the University’s Working Principles and Guidelines.

Further details of the fantastic benefits and what we offer can be found here: Our benefits - what we offer | Jobs and careers | University of Greenwich

To apply, please visit the University of Greenwich vacancies page and complete all details, including the supporting statements (please note attached CVs and personal statements will not be seen by the recruitment panel at the application stage). Current Vacancies - Jobs at Greenwich

You don’t meet all the requirements?
Studies show that women and Black, Asian and minority ethnic people are less likely to apply for a job unless they meet every criteria. So if you’re excited about this role but your experience doesn’t align perfectly with the job description, we’d love you to still apply. You might just be the person we’re looking for.

Employment Visa: Under the UK Government Points Based System scheme this role does/does not meet the criteria to be sponsored for a Skilled Worker Route application.

We are looking for people who can help us achieve our Strategic Plan, through the values we expect for our whole university community, of being Inclusive, Collaborative and Impactful.

The university welcomes people from diverse and underrepresented communities who can help the university to achieve its mission.

We do this through taking positive action such as encouraging applications from Black, Asian and Minority Ethnic, disabled and LGBT+ people. As part of our commitment to Equality, Diversity and Inclusion, Time to Change Employer Pledge/Mentally Healthy Universities, we are committed to promoting and supporting the physical and mental health of all our staff, and removing barriers to improve inclusion.

We encourage applicants to disclose experience of mental health problems so we can support them fully during our recruitment process and make any necessary reasonable adjustments. Any information disclosed will be kept confidential and separate from the job application form.

We are making significant strides to understand and continuously improve our employees’ experience and we are committed to implementing progressive diversity talent management.


University of Greenwich

China, Ningbo

Join a unique British University in China.  The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 9,000 in just 20 years.

The University of Nottingham Ningbo, China, a pioneer in Sino-foreign tertiary education, is rapidly expanding.  It is looking for ambitious, talented academics with a passion for teaching as well as research flair to join its team of science and engineering experts. UNNC is part of the University of Nottingham’s Global University, and offers unique teaching and research opportunities in a highly dynamic economy.

The successful candidate will be expected to contribute to teaching and curriculum development for undergraduate and postgraduate programmes in Chemical and Environmental Engineering. An important part of the role will be to teach students in Chemical and Environmental Engineering degree. Candidates should be qualified to deliver courses in the core curriculum of a Chemical and Environmental Engineering programme.

The person appointed will also be expected to conduct ongoing original research for publication and play a lead role in collaborative research projects The purpose of this role will be to lead and deliver individual and collaborative research and teaching in the area of Chemical and Environmental Engineering, and make a contribution to the direction of research programmes in the Department/School of Chemical and Environmental Engineering.

Candidates must have a PhD degree in Chemical Engineering or a closely related discipline, and excellent communication and presentation skills in English. Knowledge and experience of industrial design and process safety are desirable. Experience of supervising student research up to the PhD level, and experience of teaching, tutorial or laboratory work at undergraduate and/or postgraduate levels in an English speaking institution are essential.

Salary will be within the range of RMB 439,794 to RMB 579,126 per annum, depending on skills and experience (salary progression beyond this scale is subject to performance). In addition, an attractive package including employment support allowance, schooling and insurance will be provided for international appointments.

The post will initially be offered on a fixed term contract with the University of Nottingham, Ningbo, China for a period of five years starting October 2024 or as soon as thereafter. This contract may be extended on an indefinite basis by mutual agreement.

Informal enquiries may be addressed to: Professor Philip Hall, Head of Department of Chemical & Environmental Engineering – The University of Nottingham Ningbo China, email: Philip.Hall@nottingham.edu.cn Please note that applications sent directly to this email address will not be accepted.

Interviews will take place in Ningbo, China, if feasible – virtual interviews may also held. Please be advised that normally your references will be contacted prior to the interview.

For more details and/or to apply on-line please access: 

https://jobs.nottingham.edu.cn/job/184021/

If you are unable to apply on-line please contact the Human Resources Department, Tel: 86 574 8818 000 (Ext. 8404), Email: Job@nottingham.edu.cn.  


Kozminski University

About

Impact Rankings

Impact Rankings 2024801-1000^th

Quality Education 2024301-400^th

Gender Equality 2024601-800^th

Peace, Justice and Strong Institutions 2024301-400^th

Partnership for the Goals 20241001-1500^th

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Kozminski University

About

Impact Rankings

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Quality Education 2024301-400th

Gender Equality 2024601-800th

Peace, Justice and Strong Institutions 2024301-400th

Partnership for the Goals 20241001-1500th

Discover similar universities

Impact Rankings 2024801-1000^th

Quality Education 2024301-400^th

Gender Equality 2024601-800^th

Peace, Justice and Strong Institutions 2024301-400^th

Partnership for the Goals 20241001-1500^th