Tashkent State University of Oriental Studies

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Reduced Inequalities

Peace, Justice and Strong Institutions

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World University Impact Rankings - Clean Energy 2024

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United Kingdom, London

Location
Other

Salary
From ?52032 per annum inclusive of London Weighting

Post Type
Full Time

Post Type
Permanent

Closing Date
Sunday 12 January 2025

Interview Date
To be confirmed

Reference
054S2024

Hybrid

University of East London

We’re the University of East London (UEL) founded in 1898 and proud to change lives through education. Our goal is to advance industry 5.0 careers-first education and provide a clear path to the jobs and opportunities of the future. We’re committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a balanced, inclusive, and green future.

But we can't achieve this goal alone. We need forward-thinking, innovative, and curious individuals like you to join our community and help us craft our future. As part of our team, you'll have the opportunity to work with a diverse range of people who share your passion for creating positive change. We’re an inclusive and welcoming community that is constantly moving forward, never satisfied with the status quo.

About the School / Service?

IT Services is a centralised resource working collaboratively with the University community to transform UEL's digital world in line with the University’s Vision 2028 strategic plan. Engaging in ground-breaking initiatives delivered within a dynamically developing cloud environment, IT Services work closely with staff, students, partners and other key collaborators to identify technological improvements to our learning and working environments. We implement, develop and provide support for systems and services within the university’s IT Service Portfolio.

Every member of staff will embrace the University’s values, ensuring their behaviour reflects the ethos of the University, one committed to building a learning community founded on equality of opportunity and celebrating the rich diversity of our student and staff populations.

About the Job

We are looking for a hardworking and methodical individual, who is passionate about technology, to help develop and maintain Microsoft solutions within UEL’s End User Computing (EUC) environment. This position will provide technical leadership and deep understanding around Microsoft and Apple Modern Desktop technologies, develop and maintain solutions that provide a great user experience, and be the drive behind keeping UEL at the forefront of emerging EUC technologies. You will provide a point of escalation for Operations teams, maintain accuracy and relevance of documentation and lead on ensuring solutions are fit for purpose and secure by design.


	Take responsibility for the development and implementation of new EUC solutions to deliver applications in the right way, at the right time, to the right users
	Deep understanding of Microsoft Windows and Apple offerings, including approaches to platform migrations and management best practices
	Keep abreast of emerging technologies and trends and apply to UEL’s solutions and processes as applicable. Evangelising the business benefits of new approaches as necessary, whilst communicating the impact and implication of adoption
	Ensure current solutions are fit for purpose, deliver to expectations and maintained to best practices
	Lead on customer solution engagements and translate business needs into tangible technical solutions, highlighting any gaps in systems or processes needed to achieve those goals
	Subject matter expert in EUC solutions, attending internal and external meetings in that capacity. Ensuring great stakeholder engagement and maintaining EUC relationships into the wider university


About You

We are looking for a versatile individual with a methodical approach, a genuine interest in EUC technologies and a desire to own and shape key technologies supporting thousands of staff and students. The ability to identify inefficiencies and fix issues is important. The applicant should be able to apply a methodical approach to identifying issues, working through problems to systematically identify root causes. Reporting to the EUC Team Manager, you will have significant input into technical direction, solution development and operational support around EUC solutions and endpoints, which actively contribute to our customer’s success.

Benefits Package

At UEL, we believe that a great role is about more than just a salary. It’s about the complete package, including our outstanding work environment and inclusive culture.

We offer a genuinely competitive salary, dependent on experience (DOE), and a range of excellent benefits.

You can explore our full benefits package here:

https://uel.ac.uk/benefits-professional-services-positions

Equal Opportunities

UEL is an inclusive equal opportunities employer and are proud of our Equality, Diversity and Inclusivity achievements, including: zero gender pay gap, members of Stonewall and have won Athena Swan awards. We expect all employees of UEL to accept our EDI policy and will not tolerate discrimination in any form.

We're a disability confident employer and value all applications. Please let us know if you require any reasonable accommodations throughout the recruitment process.

So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and commit to success, we want you to apply today!

Please note that this advert may close earlier than the stated deadline if we receive a high volume of applications. We encourage you to submit your application as soon as possible.

Further Details

Job Description & Person Specification

To contact the recruitment team please phone?+44 20 8223 3000?x 4600 or e-mail?hrhub@uel.ac.uk

CVs without a completed application form will not be accepted.

At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.


University of East London

Singapore

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme).?The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights.

Key Responsibilities


	Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.


Undertake these responsibilities in the project:

1. Computational Fluid Dynamics (CFD) Simulations:


	Develop and implement CFD models to simulate the effects of mangroves, seagrass, and coral on wave attenuation.
	Conduct parametric studies to analyze wave interaction with natural coastal ecosystems under varying conditions.
	Optimize the model to predict shear coefficients, drag forces, and energy dissipation.


2. Experimental Calibration and Validation:


	Collaborate with experimental teams to obtain data from wave flume tests and field studies.
	Calibrate CFD models using experimental data to ensure accurate representation of physical phenomena.
	Validate simulation results to confirm reliability and applicability of the models in real-world scenarios.


3. Analysis and Interpretation:


	Extract and analyze key parameters such as drag forces, flow patterns, and wave energy dissipation.
	Evaluate the influence of structural and biological properties of mangroves, seagrass, and coral on wave attenuation.


4. Research Documentation and Dissemination:


	Prepare technical reports, research papers, and presentations to disseminate findings to academic and industry stakeholders.
	Contribute to project proposals and progress updates for funding agencies.
	Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.


5. Collaboration and Mentorship:


	Work closely with interdisciplinary teams, including coastal engineers, marine ecologists, and hydrodynamic specialists.
	Mentor junior researchers and students involved in related projects.
	Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project


6. Tool and Methodology Development:


	Innovate and improve methodologies for CFD modeling of complex natural systems.
	Stay updated with advancements in CFD software and techniques to enhance research outcomes.


7. Project Management Support:


	Ensure timely execution of project milestones related to CFD modeling and validation tasks.
	Coordinate with external collaborators and manage data-sharing protocols.
	Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.


Job Requirements


	PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics.
	Proficiency in CFD modeling software (commercial software and open source)
	Strong analytical and problem-solving skills.
	Research experience in coastal and ocean waves is preferred.
	Excellent communication (verbal and written) and teamwork abilities


Key Competencies


	Able to build and maintain strong working relationships with people within and external to the university.
	Self-directed learner who believes in continuous learning and development
	Proficient in technical writing and presentation
	Possess strong analytical and critical thinking skills
	Show strong initiative and take ownership of work



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 成人VR视频 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 成人VR视频 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.

IMPORTANT: This site is optimised for the latest versions of Internet Explorer, Safari, Firefox and Chrome. Note that earlier versions of any browsers mentioned are supported, but likely to demonstrate slower response times.

By choosing to continue, you agree to the privacy policy.?Show Privacy Policy


University of South Australia

Hong Kong, Tuen Mun

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.

Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at?https://www.ln.edu.hk/.

Applications are now invited for the following posts:

Assistant Professor of Teaching
Department of Accountancy
(Post Ref.: 24/380)

The Department has vacancies for the posts of Assistant Professor of Teaching. The appointees are expected to contribute to high quality teaching.

General Requirements

Applicants should have a PhD degree in Accountancy or a related discipline and must demonstrate excellent teaching record. The appointees are expected to teach a variety of subjects including law in business and other accounting functional courses, such as managerial and financial accounting. The successful candidates should maintain the Association to Advance Collegiate Schools of Business (AACSB) qualification through producing peer reviewed journal publications or other intellectual contributions, engaging in professional development activities, responsible for curriculum development, and student advising and mentoring. The appointees are also expected to help the Department to maintain good relationship with professional bodies and business, reach out business by knowledge transfer, as well as to liaison with professional bodies to obtain (re)accreditation status of our accounting program(s).

Appointment

The conditions of appointments will be competitive. The remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointees. Appointments will normally be made on a fixed-term contract of up to three years.

Application Procedure?(online application only)

Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references.?Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer.?Review of applications will continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.


Lingnan University

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成人VR视频

Tashkent State University of Oriental Studies

About

Impact Rankings

Impact Rankings 20241001-1500^th

No Poverty 2024801-1000^th

Good Health and Wellbeing 20241001+

Quality Education 20241001-1500^th

Gender Equality 2024801-1000^th

Decent Work and Economic Growth 2024601-800^th

Reduced Inequalities 2024801-1000^th

Peace, Justice and Strong Institutions 2024601-800^th

Partnership for the Goals 20241501+

Discover similar universities

Company

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成人VR视频

Tashkent State University of Oriental Studies

About

Impact Rankings

No Poverty 2024801-1000th

Good Health and Wellbeing 20241001+

Quality Education 20241001-1500th

Gender Equality 2024801-1000th

Decent Work and Economic Growth 2024601-800th

Reduced Inequalities 2024801-1000th

Peace, Justice and Strong Institutions 2024601-800th

Partnership for the Goals 20241501+

Discover similar universities

No Poverty 2024801-1000^th

Quality Education 20241001-1500^th

Gender Equality 2024801-1000^th

Decent Work and Economic Growth 2024601-800^th

Reduced Inequalities 2024801-1000^th

Peace, Justice and Strong Institutions 2024601-800^th