Emir Abdelkader University of Islamic Sciences

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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

United Arab Emirates, Abu Dhabi

Open Rank, Professor in Economics, with a priority given to the field of Theoretical or Applied Econometrics, Tenured/Tenure Track

Description

The Economics Program in the Division of Social Science at New York University Abu Dhabi (NYUAD) is inviting applications from economists with an excellent research record. Strong preference will be given to candidates in theoretical or applied econometrics, but outstanding candidates in all fields may be considered. The position comes with generous research support.

About NYU Abu Dhabi

Established in partnership between New York University (NYU) and the emirate of Abu Dhabi, over the last decade, NYUAD has assembled a remarkable community of scholars, students, researchers, artists, inventors, and others who have contributed to the growth of the UAE’s capital as a global hub of knowledge and culture while establishing a new model of higher education for today’s complex world.

NYUAD is animated by inspiring and diverse faculty, students, and staff working together in an exciting and dynamic city. As an international center of excellence in teaching and research, our goal is to attract outstanding faculty who are leaders in their fields, encouraging them to create programs that draw outstanding students and provide an intellectually rich environment.

NYUAD students come from more than 126 countries, with no single nationality exceeding more than 15 percent of the total student population. Likewise, our over 320 faculty members represent more than 45 nationalities and bring a global perspective to their classrooms and research projects. NYUAD is committed to building and strengthening a university-wide culture of inclusion, diversity, belonging and equity (IDBE), which is fundamental to the University’s commitment to excellence. Visit our website for more information on NYUAD’s commitment to IDBE and how these values are fundamental to our mission.

Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. In Economics, we currently offer a Bachelor’s and a MSc degree.

Working for NYUAD

At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for faculty to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. 

Qualifications

This position requires a Ph.D. in economics.

Application Instructions

To apply for this position, please submit the following items:


	Curriculum Vitae (CV)
	Cover Letter
	Teaching Statement 
	Research Statement
	Recent teaching evaluations (optional)
	Diversity Statement (how you would contribute to inclusion, diversity, belonging, and equity)
	Up to 5 representative publications or other writing samples
	Names and email addresses of 3 references (each will be contacted to upload their reference via Interfolio). Senior candidates may delay having references sent until they know if they are finalists. 


We will review applications on a rolling basis and will continue until the position is filled. We will anticipate that successful candidates can start the appointment and relocate to Abu Dhabi in the academic year 2024-2025.

For questions about this position, please email nyuad.socialscience@nyu.edu.

Join NYU Abu Dhabi, an exceptional place for exceptional people.

NYUAD values diversity, inclusion, belonging, and equity; such principles are fundamental to the university's commitment to excellence. NYUAD is an equal opportunity employer. We particularly welcome applications from members of traditionally underrepresented groups, women, and UAE nationals. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission.

@WorkAtNYUAD
#nyuadfacultycareers

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


New York University Abu Dhabi Corporation

United Kingdom, Glasgow

Closing date: 27/01/2025
Salary Range: £32,296 - £33,882
FTE: 1 (35hours/week)
Term: Fixed (6 months)

We are seeking a Research Assistant to work in the marine modelling group of the Department of Mathematics and Statistics. The successful candidates will join our team working on applying and extending the scope of the StrathE2E marine ecosystem model for regions of the Atlantic Ocean (https://outreach.mathstat.strath.ac.uk/apps/StrathE2EApp/), contributing to research being carried out in the Mission Atlantic (https://missionatlantic.eu) research programme.

The successful applicants will have obtained at least an honours degree and preferably a Masters in a quantitative field of marine environmental science. They will need to demonstrate an up-to-date knowledge of research on marine fisheries and/or climate change, and their effects on food webs and the marine environment. They will also show an aptitude for writing research reports, and have experience of coding in R.

For any informal enquiries, please contact Chancellors fellow, Jack Laverick (jack.laverick@strath.ac.uk)

please click here for further details.pdf


University of Strathclyde

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

Australia, Bundoora

Director, Strategic Procurement


	Executive position
	3 – 5 year contract
	Strategy Focus and Delivery


The Director, Strategic Procurement is responsible for the success of the procurement function and will work closely with other commercial and business service functions within the Procurement and Business Services (PBS) team. 

Reporting to the Executive Director, Procurement and Business Services, this position will be responsible for ensuring the delivery of quality procurement strategy, governance integrity, commercial best value, and executive quality reporting.

What we are looking for in this role: 


	A strong track record of diverse, high quality, fit for purpose sourcing strategy execution.
	Demonstrated ability to establish and sustain trusted relationships with internal and external stakeholders, extending to senior executives, business unit leaders, and key suppliers.
	Lead, mentor, and develop a team of skilled procurement professionals, fostering a collaborative and high-performance work environment.
	Demonstrated ability to provide strategic insight and detailed inquiry to project, program and portfolio oversight.
	Exceptional engagement and communications skills. 
	Proven capability to prioritise and adapt to deliver outstanding operational and commercial outcomes in a complex environment.
	Achieve best value strategic sourcing outcomes, measured through bottom line benefits, cost avoidance, performance improvements, and sustained business benefit.\


The requirements to succeed, in this role are:


	Significant Strategic Procurement experience and sound knowledge and understanding of contemporary strategic procurement approaches.
	Ability to effectively develop, communicate and present complex business case / procurement strategy proposals.
	Ability to take responsibility for delivery of programs of work that are impactful at an organisational level.
	Demonstrated capacity to collaborate and maintain strong and productive relationships with supply partners, teams, peers and stakeholders at all levels.
	Highly developed consulting, interpersonal, communication (written and oral) and presentation skills.
	Demonstrated capacity for analytical and conceptual thought in the diagnosis of problems and in providing innovative, timely, relevant and practical solutions.
	Strong consultative capability and the ability to consistently offer expert commercial and strategic procurement advice to achieve best value outcomes.
	Develop effective and efficient procurement process, track, measure and report procurement effectiveness.
	Identification of commercial and operational efficiency improvement opportunities. Manage implementation.
	Oversee the financial interface of procurement, ensuring budgetary compliance, and providing regular reports to senior management.


Join Our Team: At La Trobe University, we are committed to fostering a diverse and inclusive workplace where all employees can thrive. If you are passionate about cyber security and driven to make a positive impact in the higher education sector, we want to hear from you.

Welcome to Bundoora campus – Please click on the video link below:  

https://f.io/KDo0ceng

 Apply Now: To apply for this exciting opportunity, please:

Submit your resume and a cover letter outlining;


	Provide an example on how procurement influenced decisions and strategy to the business and what was the outcome?
	What attracts you to the Higher Education sector?


(Please note no more than 2 pages.)

Recruitment Enquiries:  Peter Andreopoulos P.Andreopoulos@latrobe.edu.au

Email:  P.Andreopoulos@latrobe.edu.au

Closing date:  By 11:55pm Sunday 19th January 2025

 Position Description below:

50148224 PD Director Strategic Procurement ESMC1.docx

Aboriginal and Torres Strait Islander Applicants 
We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people. 

La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates.

 All La Trobe University employees are bound by the Working with Children Act 2005.  If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.




La Trobe University

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Emir Abdelkader University of Islamic Sciences

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