Al-Farabi College for Nursing and Dentistry

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Australia, Melbourne

We are seeking a highlight motivated and experienced Course Coordinator to lead the development of a Graduate Diploma in Early Childhood Education. The ideal candidate will be a visionary academic leader with a deep commitment to early childhood education, possessing the expertise to design, develop, and implement a robust curriculum that meets the highest standards of excellence. This leadership role involves academic management, program development, accreditation processes, and fostering partnerships within and beyond the education sector.

About Harrow Institute:

Harrow Institute is a forward-thinking and innovative private education provider committed to delivering exceptional graduate and postgraduate education in Australia.

Key Responsibilities:

Curriculum Development: Lead the development of a comprehensive and innovative curriculum for the Graduate Diploma in Early Childhood Education, ensuring alignment with industry standards and accreditation requirements.

Academic Leadership: Provide academic leadership, including the mentorship of academic members, overseeing academic quality, and fostering an environment of research and learning.

Accreditation and Compliance: Navigate the accreditation process with relevant bodies, ensuring the program meets all regulatory standards and requirements for early childhood education in Australia.

Stakeholder Engagement: Engage with stakeholders including industry partners, community organisations, and academic institutions to enhance the program's relevance and impact.

Scholarship and Innovation: Encourage and lead scholarship initiatives related to early childhood education, contributing to the body of knowledge and the institute's reputation.

Student Success: Foster a supportive and inclusive learning environment that promotes student success, retention, and graduate outcomes.

Core selection criteria:

Education: A PhD in Early Childhood Education from an accredited institution or a PhD candidate in Early Childhood Education with substantial experience in academia.

Experience: At least three years of academic management experience within the higher education sector specialised in Early Childhood Education in Australia, with a proven track record in program development and leadership.

Skills: Exceptional leadership, communication, and organisational skills; a deep understanding of early childhood education principles and practices; familiarity with accreditation processes and requirements in Australia.

Attributes: A visionary leader with a passion for education innovation, a commitment to excellence, and an ability to inspire others.  

How to Apply:

Please submit your application including a cover letter, CV, and a statement addressing the key selection criteria outlined in this position description. Applications should be sent to harrow@lizlegal.com.

Application Deadline: 20 January 2025

Harrow Institute is an equal opportunity employer and strongly encourages applications from diverse candidates, including those with different levels of experience, and from all sections of the community.

Applicants must hold a valid visa to work in Australia.


Harrow Institute

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, Newcastle upon Tyne

ABOUT THE ROLE

This is an exciting opportunity to contribute to a ground-breaking project focused on developing sustainable cooling systems, with an emphasis on advancing energy-efficient technologies for air conditioning. As a Senior Postdoctoral Research Fellow, you will play a central role in technology development, project execution, data collection, and analysis, while also providing critical guidance on system design to ensure innovative and practical solutions.

The project aims to address the challenge of improving cooling efficiency for all applications, prioritizing sustainability, and scalability. Your role will involve collaborating with academic and industry partners from both the UK and Pakistan, fostering impactful results and driving advancements in sustainable cooling technologies.

This position offers a unique chance to work at the intersection of cutting-edge research and real-world application, contributing to a high-impact initiative that bridges academia and industry while addressing global environmental challenges.

This role is fixed term for 36 months.

ABOUT THE TEAM

Find out more about Mechanical Engineering at Northumbria University: https://www.northumbria.ac.uk/about-us/academic-departments/mechanical-and-construction-engineering/research/

ABOUT YOU

Further information about the requirements of the role is available in the person specification.

Please contact project lead Dr. Muhammad Wakil Shahzad (muhammad.w.shahzad@northumbria.ac.uk) for additional information and an informal phone conversation.

To apply for this vacancy please click 'Apply Now'. Your application should include a covering letter and a CV.

ABOUT US

Northumbria University is a research-intensive university that unlocks potential for all.  We change lives regionally, nationally, and internationally through education and research, tackling the global challenges of our age to transform society and the economy. Find out why we were named Times Higher Education’s University of the Year in 2022 and Modern University of the Year in The Times and Sunday Times Good University Guide 2025.

Northumbria recorded the biggest rise of any UK university for research power in the Research Excellence Framework for the second time in 2021 and is now ranked top 25 in the UK for this measure.

One of the largest universities in the UK with over 37,000 students from more than 140 countries, filled with world-leading research, award-winning partnerships, and students at the heart of an outstanding experience. Discover more about us.

Northumbria University is a great place to work. We empower our exceptional people to achieve shared ambitions and promote a positive work life balance. We offer a wide range of benefits including excellent pension schemes, flexible working, a generous holiday entitlement, continued commitment to your learning and development and more.

Our Northumbria Values are guiding principles that define who we are, what we do and what is important to us. Our Values are: Academic Excellence; Innovation; Inclusivity; Collaboration; and Ambition.

Our Behaviours describe how we do things and how we work together at Northumbria, reflecting our culture and our decision-making. Our Behaviours are: We listen and learn, we support one another to success, we respect everyone and their contributions, we trust in ourselves and each other and we are bold.

Our Values and Behaviours were co-created by colleagues from a range of roles across the University, who worked collaboratively to consider what it feels like to work for Northumbria, and where we need to continue to transform together to achieve what’s important to us.

Please visit Our Values and Behaviours page to find out more.

We are an on-campus organisation where colleagues work regular patterns of hours and on campus, with some flexibility on the timing of their hours and the location of their work in discussion with their manager. Our campus locations include our City and Coach Lane Campuses in Newcastle upon Tyne and our London campus.

Northumbria University is committed to creating an inclusive culture where we take pride in, and value, the diversity of our staff. We encourage and welcome applications from all members of the community. The University holds bronze Athena Swan and Race Equality Charter awards in recognition of our commitment to advancing gender and race equality, we are a Disability Confident Leader and are participating in the Stonewall Diversity Champion Programme. We also hold the HR Excellence in Research award for implementing the concordat supporting the career Development of Researchers and are members of the Euraxess initiative to deliver information and support to professional researchers. The University has implemented a range of flexible working arrangements, and we are happy to explore candidate requirements as part of the recruitment process.

We are committed to keeping your data safe so it's important for you to know how we use any personal data you give us. For more detailed information, access our Privacy Policy.


Northumbria University, Newcastle

United Kingdom, Birmingham

Salary: £37,999 - £42,632 per annum
Contractual hours: 37
Basis: Full Time
Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/
Job category/type: Academic
Job reference: REQ000229
Attachments: Lec in Physiotherapy - JDPS - Dec 24.pdf

Job description

Due to the growth of the Nursing and Allied Health Apprenticeship provision at UCB, an exciting opportunity has arisen for a Physiotherapist with current clinical experience, to join our growing, innovative, and forwarding thinking apprenticeship team as a Lecturer. 

In this role, the successful applicant will support teaching and assessing apprentices in our purpose-built facilities in Moss House, the Health, Skills and Simulation Suite and other skills facilities around the campuses. A tour is available at https://www.youtube.com/watch?v=id5xwZI5VEA

The applicant will provide clinical knowledge skills and behaviours input to ensure that Physiotherapy, Nursing and Allied Health Professionals essential skills are taught and assessed in line with current evidence-based practice.

Educated to a minimum of degree level with current registration on the HCPC register with experience of teaching and assessing students / apprentices.

This is an exciting time to join the Apprenticeship Team at UCB as we continue to grow our Allied Health apprenticeship courses.

Standard Information

UCB is an equal opportunities employer.

University College Birmingham is proud to have been voted 5th in the Post Graduate Education category in the prestigious 2024 Whatuni Student Choice Awards. The awards are voted for and by students showcasing the incredible relationships we foster here at University College Birmingham between Staff and Students. We are TEF rated Silver, with a Good Ofsted rating.

University College Birmingham has a unique collaborative partnership with the University of Warwick - Ranked ninth in the 2024 Guardian League Tables and 67th in the World QS University Rankings 2024

You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work.

All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement.

All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.


University College Birmingham

New Zealand, Wellington


	Are you interested in a four-year contract, which includes teaching in China for periods of up to 20 weeks at a time throughout the year?
	Can you engage effectively with industry, government, academics, professions, and diverse communities?
	Have you got extensive teaching experience in programming, cybersecurity, and computer?


Kōrero mō te tūranga - About the role

Te Herenga Waka - Victoria University of Wellington is currently recruiting a Pūkenga - Lecturer (Teaching) in Software Engineering to join the Te Kura Mātai Pūkaha, Pūrorohiko - School of Engineering and Computer Science on a four-year, fixed-term contract.

This position represents a chance to join and help shape a collaborative teaching and learning experience for Victoria University and Xiamen University students and staff. All areas of Software Engineering are of interest, but applications are particularly welcome from candidates with extensive teaching experience in programming, cybersecurity, and computer.

Key responsibilities:


	Provide high quality and critically reflective teaching practices
	Contribute to innovations in learning, teaching, and assessment within the discipline, including demonstrating digital fluency
	Contribute to the review and re-design of programmes and courses
	Engage in regular professional development that leads to enhanced teaching practice and where relevant, inclusion of practitioner perspectives
	Contribute to the collegial development of the Programme, Academic Unit and Faculty through respectful and transparent interactions with colleagues
	Undertake job evaluations in accordance with the University's remuneration framework and job evaluation


It is expected that the appointee will contribute to teaching across three trimesters. You will be required and expected to teach in China for periods of up to 20 weeks at a time throughout the year and will be based in New Zealand at Victoria University of Wellington for the remainder.

Ō pūmanawa - About you

You will:


	Be a motivated, student-focused individual who listens to and understands the needs of students and meets those needs through a professional, courteous, and empathetic approach
	Hold a high level of integrity at both a personal and academic level and commit to maintaining high professional and academic standards
	Be an individual with strong communication skills both orally and written in a variety of ways to suit the situation and needs of the recipients
	Be collegial and deal with colleagues and others in a respectful and fair way
	Consider equity/diversity perspectives when interacting with colleagues and students alike
	Be willing to build and maintain positive and beneficial internal and external relationships.


Key requirements:


	A completed PhD in a relevant field, or other relevant qualifications commensurate with the role
	Good interpersonal skills and demonstrated ability to work with students and staff from a diverse range of backgrounds


Demonstrated evidence of:


	Successful teaching in a relevant field at tertiary level
	Developing skill with a range of pedagogies and technologies
	Good oral and written communication skills.


Role description - Click here to see further information, including salary information.

There are many benefits to working at Te Herenga Waka - Victoria University of Wellington, including being part of New Zealand's top research University.

Contact details for vacancy

If you have any questions regarding this role please get in touch with Craig Watterson (craig.watterson@vuw.ac.nz).

When applying for this position, candidates must submit supporting documents along with their resume, such as a cover letter and working visa. Applicants who do not have residency or citizenship and require a visa to work at the University must clearly indicate their visa status in their application and understand that if they do not have a current, relevant visa, they will need to secure this independently.

Reference 1007115


Victoria University of Wellington

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