Women University of Azad Jammu & Kashmir, Bagh

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United Kingdom, London

Financial Compliance & Operations - Payroll

Location: Avery Hill Campus
Salary: ?37,999 to ?43,878 plus ?5400 London weighting per annum
Contract?Type: Permanent
Closing?Date: Thursday 16 January 2025
Interview?Date: See advert
Reference: 4825

The University is looking to appoint an experienced Deputy Payroll and Pensions Manager to support its dynamic Payroll Team within the Finance Directorate. The ideal candidate will have expertise in interpreting payroll regulations and a strong ability to stay updated with changes in taxation, pensions, and national insurance legislation.

We are seeking a candidate with extensive payroll experience to support our Payroll and Pensions Manager and Payroll Team, and while experience in the UK higher education sector is desirable, it is not essential. A solid foundation in payroll and pension processes and excellent communication skills are required to effectively support the team and ensure the smooth operation of payroll functions.

For an informal discussion about the post please contact Sammy Fraser at?s.fraser@greenwich.ac.uk

Should you have any recruitment related queries please contact the People Directorate Operations Team on?peopleoperations-cfo@greenwich.ac.uk

Interviews are scheduled to take place w/c 27th January 2025.

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

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

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 色盒直播 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

$80,099 per annum (plus 17% superannuation)

Australia, Mawson Lakes


	Based in the UniSA STEM Unit at the Mawson Lakes Campus?
	Full-time, fixed term contract until Dec 2027
	Commencement salary: $80,099 per annum (plus 17% superannuation)


About the Role?

Reporting to the Professorial Lead, you will support UniSA STEM's research efforts by contributing to the project “ANVIL: A Narrative Analysis and Visualisation Toolkit for AI Disinformation Campaign,” funded through a DSP Multi-Party Collaborative Agreement with UniSA, UTS, UA, and the Department of Defence.

About UniSA STEM?

At the forefront of cross-disciplinary collaboration,?UniSA STEM?is developing the next wave of innovative thinkers and new possibilities. Harnessing connections across science, technology, engineering and mathematics, we create innovative solutions and groundbreaking developments across teaching, learning and research.?

About UniSA?

The?University of South Australiais 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.

Essential Skills and Experience?


	A bachelor degree in an appropriate Science or Engineering area relevant to the research area.
	Strong written and oral communication skills, showcased through research reports, publications, educational materials, and effective collaboration with partners, colleagues, and students
	Experience in full stack web development with NodeJS, React framework and Loopback or NestJS development
	Experience with game engines, C# and Unity development. Experience with AR/VR platforms such as Meta Quest
	Ability to design and implement User Interfaces


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:?


	Access to great personal development opportunities
	Generous superannuation contributions of 17%
	Employee assistance and development programs
	A range of salary packaging options, including vehicle leasing, laptops and car parking fees
	A variety of leave arrangements


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?Georgia Borg, 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?6891.?

Applications close: 11:30pm Sunday 5 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:


	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.

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University of South Australia

United Arab Emirates, Abu Dhabi

Description

The?S.M.A.R.T. Construction Research Group?in the Division of Engineering at New York University Abu Dhabi (NYUAD) seeks to recruit a Research Scientist to work on automation and information technologies applied to construction and civil infrastructure.

About the?S.M.A.R.T. Construction Research Group

The S.M.A.R.T. Construction Research Group is a dynamic and interdisciplinary research group led by Prof. Borja García de Soto. The core topics of the S.M.A.R.T. Construction Research Group are?Sustainable and resilient construction,?Modularization and lean construction,?Artificial intelligence,?Robotic systems and automation,?Technology integration and information modeling.

Qualifications

Applicants must have received a Ph.D. in civil engineering, computer engineering, computer science, or a related field. Expertise in ROS and simulation platforms is required. Additionally, candidates should have experience with ROS2 and be familiar with the development of AI models, large language models (LLMs), and the use of machine learning (ML) techniques. Excellent communication skills in English and scientific creativity are essential. The applicant should have a strong publication record and be capable of supporting grant writing and proposal development to secure funding for research initiatives. Furthermore, extensive experience in laboratory management and research operations, along with in-depth knowledge of safety regulations and best practices in laboratory environments, is required. The ideal candidate will also possess strong organizational skills, a deep understanding of the scientific research process, and the ability to foster a collaborative and innovative research environment.

Application Instructions

Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae with full publication list, statement of research interests, and at least three reference letters. If you have any questions, please email?garcia.de.soto@nyu.edu

About NYUAD

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

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

Hong Kong

The Chinese University of Hong Kong

Applications are invited for:-

Department of Educational Psychology

Professor / Associate Professor / Assistant Professor in Educational Psychology 

(Ref: 2400034A)

The Faculty of Education of The Chinese University of Hong Kong (http://www.fed.cuhk.edu.hk/) has a longstanding legacy in teacher training and is known for its world-class research excellence. The Department of Educational Psychology under the Faculty of Education (http://www.fed.cuhk.edu.hk/eps/) now invites applications for the position of Professor/ Associate Professor/ Assistant Professor in Educational Psychology. We are especially interested in those with expertise in one or more areas below:


	School psychology
	Special educational needs
	Educational neuroscience
	Artificial Intelligence (AI) and human-technology interface


Applicants should have (i) excellent academic qualifications including a doctorate degree in educational psychology or related disciplines; (ii) a solid research background in areas that will contribute or add to the existing strengths of the Department; (iii) a strong track record of programmatic research and publications as well as proven ability to obtain research grants; and (iv) strong commitment to excellence in teaching and scholarship.

The appointee will (a) develop and teach courses at postgraduate and undergraduate levels, (b) supervise taught and research postgraduate students, (c) bid for external competitive grants, and (d) assist in administrative matters. Scholars with demonstrated academic leadership, research excellence, a track record of extramural competitive funding and substantial experience in postgraduate students’ supervision are particularly encouraged to apply.

Appointment will normally be made on contract basis for up to three years initially commencing from August 2025, which, subject to mutual agreement, may lead to longer-term appointment or substantiation (that is, tenure) later. For candidate with outstanding research/ scholarship credentials and very good teaching/ service records, substantiation may be considered at initial appointment. Salary will be highly competitive, and commensurate with qualifications and experience.

Review of applications will begin in February 2025 and will continue until the position is filled.

Application Procedure

Applicants should submit an online application and upload a cover letter, a full curriculum vitae, a research statement, a teaching statement, and provide names and e-mail addresses of at least three referees for providing reference.

The University only accepts and considers applications submitted online for the post above. For more information and to apply online, please visit http://career.cuhk.edu.hk.


The Chinese University of Hong Kong

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色盒直播

Women University of Azad Jammu & Kashmir, Bagh

About

Impact Rankings

Impact Rankings 20241001-1500^th

No Poverty 2024601-800^th

Quality Education 2024401-600^th

Gender Equality 2024601-800^th

Partnership for the Goals 20241001-1500^th

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色盒直播

Women University of Azad Jammu & Kashmir, Bagh

About

Impact Rankings

No Poverty 2024601-800th

Quality Education 2024401-600th

Gender Equality 2024601-800th

Partnership for the Goals 20241001-1500th

Discover similar universities

No Poverty 2024601-800^th

Quality Education 2024401-600^th

Gender Equality 2024601-800^th

Partnership for the Goals 20241001-1500^th