Armenian National Agrarian University

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No Poverty

Zero Hunger

Quality Education

Gender Equality

Affordable and Clean Energy

Decent Work and Economic Growth

Industry, Innovation and Infrastructure

Reduced Inequalities

Sustainable Cities and Communities

Climate Action

Life on Land

Peace, Justice and Strong Institutions

Partnership for the Goals

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China, Ningbo

Department of Electrical and Electronic Engineering at University of Nottingham Ningbo China is seeking outstanding Research Fellows in Electronic Engineering (OUTSOURCED) to join Industrial Joint-Lab on Smart Mobility and Transportation.

Your Responsibility

The purpose of this role is to conduct cutting-edge research on 5G/6G technologies and their integration with smart transportation systems, with a focus on C-V2X applications.


	Formulating research questions and objectives towards the development of research programme for both the lab and industrial partners. This includes the establishment of methodologies and techniques to effectively conduct research within the specified area.
	Conducting research, which includes developing models, testbeds, conducting experiments, and performing analyses, all while adhering to project deadlines and collaborating seamlessly with team members and partners.
	Demonstrating successful research outputs by publishing in high-impact journals and presenting at top international conferences.
	Identifying opportunities and assisting senior staff members in writing bids for research grant applications at both national and international levels.
	To participate in training and staff development events as trainer or trainee as appropriate.
	To maintain appropriate professional development, expertise and awareness.
	To undertake other tasks and responsibilities as may reasonably be required.


About You


	PhD in relevant subject areas;
	Proven track record in high quality journals and conferences publications;
	Practical experience of applying the specialist skills and techniques required for the role;
	Good oral and written communication skills in English, including the ability to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus.


About Us

Join a unique British University in China. The University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 9,000 in just 20 years.

About Industrial Joint-Lab on Smart Mobility and Transportation

The primary aim of this laboratory is to develop innovative technologies that address the growing complexities and demands of modern urban mobility. Through pioneering research and development, the lab seeks to create solutions that are adaptable, scalable, and capable of improving urban transportation systems.

In close collaboration with industry partners, the laboratory focuses on enhancing traffic safety, efficiency, and sustainability. This includes developing state-of-the-art communication protocols, sensor technologies, and AI-driven decision-making systems that empower smarter mobility infrastructure. A core emphasis lies in advancing autonomous driving technologies and connected autonomous vehicles (CAVs) to enable seamless vehicle-to-everything (V2X) communication.

By integrating these technologies, the lab aims to reduce road accidents, optimise traffic flow, and mitigate congestion in increasingly dense urban environments. The research also explores the deployment of resilient and adaptive systems that can handle real-time data from complex environments, enabling CAVs to make instantaneous and accurate decisions.

Additionally, the lab addresses the broader ecosystem of urban mobility, including eco-friendly solutions and sustainable transportation models that align with smart city initiatives. This comprehensive approach ensures that the technologies developed not only meet current mobility challenges but also anticipate future demands, facilitating safer, greener, and more efficient urban transport networks.

Key Areas:

5G and beyond C-V2X Technologies: Enhance vehicle-to-infrastructure (V2I) communication for road safety, traffic efficiency, and autonomous driving.

Smart Sensors and Autonomous Systems: Develop advanced sensors and AI integration for improved vehicle localisation, obstacle detection, and real-time environmental perception.

Connected and Autonomous Vehicles (CAVs): Advance CAV technologies to optimise traffic management, reduce congestion, and improve road safety.

Sustainable Urban Mobility Solutions: Research eco-friendly transportation, such as electric public transport, to promote sustainable urban mobility.

The target breakthrough includes cutting-edge technologies for smart mobility, including C-V2X communication, smart sensors, and AI-driven autonomous systems. These technologies will reduce traffic congestion, enhance road safety, and support the deployment of autonomous vehicles, contributing to sustainable and efficient urban mobility solutions.

Your Remuneration, Benefits and Support

You will be offered a fixed term outsourced contract initially with effect from February 2025 or as soon as thereafter. We are committed to providing competitive employment packages while supporting the wellbeing of our staff to help them reach their full potential.

How to Apply

Applicants should submit an application via our on-line application system before 17 January 2025. Only on-line applications will be accepted. Referees will be contacted prior to interview and interviews will take place in Ningbo China.

Applications should include but are not limited to the following:


	A cover letter
	An up-to-update CV includes academic and research achievement list
	A Research proposal ?


Enquiries

Informal enquiries regarding the research project may be addressed to Dr C.F. Kwong (Chiew-Foong.Kwong@nottingham.edu.cn) or Dr David Chieng (David.Chieng@nottingham.edu.cn). If you are unable to apply on-line please contact the Human Resources Office, Tel: 86 574 88180000(Ext. 8404).


University of Nottingham Ningbo, China

$122,830 - $145,858 p.a. + 17% superannuation

Australia, Camperdown


	Full time, continuing position. Located at the Faculty of Science on the Camperdown Campus
	Exciting opportunity for a Lecturer to join the School of History and Philosophy of Science
	Base Salary Level B, $122,830 - $145,858 p.a. + 17% superannuation 


About the opportunity

The School of History and Philosophy of Science is seeking a Lecturer in History and Philosophy of Science (HPS) for a full time, continuing position.

The successful candidate's teaching duties will include the history of science or medicine in Asia or the Pacific, with the ability to address problems in the global history of knowledge.

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Lecturer in History and Philosophy of Science (HPS) who has:


	a PhD and publications in relevant fields
	research interests in the history of science or medicine
	we particularly welcome applications from scholars who engage with connections and exchange or knowledge practices across traditions and regions.


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.

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 address the selection criteria in your application (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.

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

Thursday 20 February 2025 11:59 PM


The University of Sydney

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

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

New Zealand, Auckland

Job Description


	Seeking a truly collaborative leader in brain research who will engage research, clinical and related communities in a vision for developing a better understanding of the human brain and for improving outcomes for those affected by brain disorders.
	Live and work in New Zealand’s largest, most cosmopolitan and culturally diverse city.


The University of Auckland, Waipapa Taumata Rau, has ambitious and transformative goals to deliver top quality research and impact both locally in the Pacific region and globally.

Join us in the substantive academic position of David Levene Foundation Chair in Brain Research, and apply your leadership to ensure the next horizon of success of the Centre for Brain Research Te Huinga Hinengaro (CBR). The director (appointed on an initial 5-year term) will build on CBR’s success in developing a strong and diverse community of neuroscience scholars who seeking to understand the human brain and to develop and translate therapies and other treatments for those affected by brain disorders.

CBR is one of seven transdisciplinary University Research Centres spanning multiple faculties, disciplines and academic activities and engaged in research with the community.

Established 15 years ago, effective relationships are at the heart of its reputation as a leader in translational brain research, as demonstrated by the philanthropic and community support it values dearly.

Members of the CBR are engaged in internationally recognised research ranging from basic and laboratory science to clinical research and the promotion of population health and research that works with and through engagement with communities, particularly Māori and Pacific communities. Creating stronger ties among scientists, engineers, clinicians, potential industry partners and the community, whilst training the next generation of leaders in the field will be central to the Director’s aspriations for the CBR.

Learn more about CBR’s cutting edge research and world-class facilities, and review the position description?here.

For further information and a confidential conversation, please contact Clare Litten, Manager, Academic Executive Search Service,?c.litten@auckland.ac.nz

Applications must be submitted online, by the closing date of 9 March 2025

Additional Information

Equity

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment.? For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to?www.equity.auckland.ac.nz

The University is committed to providing a safe, inclusive, and equitable environment where everyone can thrive. For further information see Te Ara Tautika | the Equity Policy and visit?www.equity.auckland.ac.nz


The University of Auckland

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成人VR视频

Armenian National Agrarian University

About

Impact Rankings

Impact Rankings 20241501+

No Poverty 20241001+

Zero Hunger 2024401-600^th

Quality Education 20241501+

Gender Equality 20241001+

Affordable and Clean Energy 2024801+

Decent Work and Economic Growth 2024801-1000^th

Industry, Innovation and Infrastructure 20241001+

Reduced Inequalities 20241001+

Sustainable Cities and Communities 2024801-1000^th

Climate Action 2024801+

Life on Land 2024601+

Peace, Justice and Strong Institutions 2024801-1000^th

Partnership for the Goals 20241001-1500^th

Discover similar universities

Company

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成人VR视频

Armenian National Agrarian University

About

Impact Rankings

.css-1lk1zhk{display:block;-webkit-box-flex:1;-webkit-flex-grow:1;-ms-flex-positive:1;flex-grow:1;}Impact Rankings 2024.css-4ju6x1{display:block;font-size:1.25rem;line-height:1.375;font-weight:600;color:#595959;}.css-4ju6x1>sup{font-size:65%;display:inline-block;width:0;word-wrap:normal;}1501+

No Poverty 20241001+

Zero Hunger 2024401-600th

Quality Education 20241501+

Gender Equality 20241001+

Affordable and Clean Energy 2024801+

Decent Work and Economic Growth 2024801-1000th

Industry, Innovation and Infrastructure 20241001+

Reduced Inequalities 20241001+

Sustainable Cities and Communities 2024801-1000th

Climate Action 2024801+

Life on Land 2024601+

Peace, Justice and Strong Institutions 2024801-1000th

Partnership for the Goals 20241001-1500th

Discover similar universities

Impact Rankings 20241501+

Zero Hunger 2024401-600^th

Decent Work and Economic Growth 2024801-1000^th

Sustainable Cities and Communities 2024801-1000^th

Peace, Justice and Strong Institutions 2024801-1000^th

Partnership for the Goals 20241001-1500^th