Rajamangala University of Technology Rattanakosin

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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 中国A片.


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 Times 中国A片 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 中国A片 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

Malaysia, Sepang, Selangor

SCHOOL OF ELECTRICAL ENGINEERING AND ARTIFICIAL INTELLIGENCE

XIAMEN UNIVERSITY MALAYSIA

Xiamen University (XMU), established in 1921, is the first university founded by an overseas Chinese in the history of modern Chinese education. As one of the China’s leading research universities, XMU is ranked #198 in Best Global Universities at US News Best Global Universities 2024-2025.

Xiamen University Malaysia (XMUM) is an international branch campus of XMU, located in the Greater Kuala Lumpur, which is one of the most developed economic, cultural, and transportation centres in Southeast Asia and the one of best places in the world for expats (Expat City Ranking 2023).

Being the first Chinese university branch campus in Malaysia, XMUM aspires to become a university with a distinct global outlook, featuring first-class teaching and research, and embracing cultural diversity. School of Electrical Engineering and Artificial Intelligence (SEEAI) is now seeking highly motivated, committed, and qualified individuals for the positions of Assistant Professor / Associate Professor / to join our diverse and dynamic faculty.

ESSENTIAL REQUIREMENTS


	Applicants must possess a PhD degree in a related discipline
	Track record in research, ability to contribute to the research strengths of the discipline, through high-quality international publications and/or attracting competitive external research grants in the related field
	Evidence of high quality teaching ability
	Ability to supervise undergraduate and/or postgraduate students for final year/research project
	Outstanding English communication skills
	Indication of the capacity to engage as a member of committees for the University community
	Ability to contribute to the administrative duties and governance at any or all of school, faculty or University level
	Ability to work positively and cooperatively with staff and students


ACADEMIC POSITIONS AVAILABLE

Applicants with specific teaching and research interests in the following area(s) are encouraged to apply:

1. ELECTRICAL AND ELECTRONICS ENGINEERING*


	Embedded Systems
	Computer Vision and Robotics
	Digital System Designs
	Semiconductor Physics and Device Processes
	PCB Designs and Techniques
	Power Quality
	Engineering Mathematics
	Probability and Statistics


*Applicants with a Professional Engineer qualification?(PEng)?or Chartered Engineer (CEng) from IPEA, APEC and WA signatories and Graduate Engineer/Professional Engineer Certificate from Board of Engineers Malaysia (BEM) is a requirement.

2.ARTIFICIAL INTELLIGENCE


	Computational Cognitive Science
	Strategic Reasoning for AI
	Advanced Data Analysis
	Python and Tensorflow Programming


3. ROBOTICS AND AUTOMATION ENGINEERING 


	Engineering Mechanics and CAD
	Mobile Robotics
	Automation Engineering
	Smart Sensors and Actuators
	Intelligent Control and Systems
	Machines and Power
	Engineering Operations Management
	Digital Robotics


WHY CHOOSE XMUM


	First overseas branch campus established by a trusted and renowned Chinese university with a long history of academic excellence
	International working opportunity imbued with distinctive Chinese elements
	Diverse campus culture coupled with state-of-the-art infrastructure
	Competitive salary commensurate with qualification and experience in Malaysia
	Comprehensive fringe benefit package, including annual leave, medical insurance, housing and transportation allowance etc.
	On-campus accommodation will be given the priority to the international staff subject to the availability
	Internal research funding and individual Office will be provided
	Strategic location in Greater Kuala Lumpur region and healthy living neighbourhood


HOW TO APPLY

Applicants are invited to submit a digital application packet to:

recruit_academic@xmu.edu.my

The subject line of your email must include: your name, relevant academic discipline, and the specific position for which you are applying for. All application packets must include the following attachments:


	Your detailed and current CV with publication (*Asterisk to indicate corresponding author include Indexing & Quartile);
	Cover letter stating the source of job advertisement;
	Evidence of academic qualifications (Bachelor, Master & PhD Certificate; Bachelor, Master & PhD Transcripts and Professional Certificates);
	3-5 Full-Text publications (if applicable);
	Teaching evaluation (if applicable);
	Two academic references (at least one of them is the applicant’s current/most recent employer).


ADDITIONAL INFORMATION:


	We thank all applicants for their expressed interest. However, ONLY shortlisted applicants will be notified.
	Review of applications will begin immediately and continue until the positions are filled.
	Anticipated commencing semester:? February / April / September.
	Welcome to visit http://www.xmu.edu.my for more details.



Xiamen University Malaysia

United Kingdom, Southampton

We are delighted to welcome applications for the position of Research Fellow within the Integrating Citizen Deliberation for Impact (i4i) project, an international collaboration to examine the variety of ways that national and subnational European climate assemblies have been differently connected to their respective political-administrative systems and how this shapes their polity, policy and political impacts (see:?https://i4i-project.com/).

The post holder will develop the cross-cutting conceptual schemes and empirical analyses that unite the different work packages of the project. This will primarily include carrying out a comparative analysis of the integration and impacts of European climate assemblies and writing academic outputs that conceptualise integration and impacts of public participation, as well as presenting the findings of the empirical analysis of the relationship between the two. This work will be carried out under the supervision of Rikki Dean (principal investigator of the project).

This research position will be based in the Department of Politics and International Relations within the Faculty of Social Sciences, at the University of Southampton where Dr Dean is based. You will join a team of researchers based across the UK, Belgium, Germany and Poland, as well as a supportive Department that contains the largest concentration of democratic innovations scholars in Europe.

To be successful in either role you will have completed your PhD in a relevant discipline before April 2025 (or equivalent professional qualifications). You will have facility with building theoretical frameworks, as well as an interest in mixed-methods research; have the ability to plan and organise work independently and as part of a team; and have the ability to write research presentations and papers for peer review publication. Knowledge and experience of the subfield of democratic innovations and with using Qualitative Comparative Analysis (QCA) is desirable.

The Research Fellow post is full-time for a fixed term until 30/04/2027 with a negotiable start date, but with an early start date being preferred.

The University of Southampton holds an Athena SWAN Silver Award demonstrating commitment to equal opportunities in the workplace.

Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of?Senior Research Assistant?will be given.

Informal enquiries may be addressed to Rikki Dean, email:?r.j.dean@soton.ac.uk.


University of Southampton

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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Rajamangala University of Technology Rattanakosin

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Impact Rankings

Impact Rankings 20241001-1500^th

Affordable and Clean Energy 2024301-400^th

Sustainable Cities and Communities 2024401-600^th

Climate Action 2024601-800^th

Partnership for the Goals 2024801-1000^th

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中国A片

Rajamangala University of Technology Rattanakosin

About

Impact Rankings

Affordable and Clean Energy 2024301-400th

Sustainable Cities and Communities 2024401-600th

Climate Action 2024601-800th

Partnership for the Goals 2024801-1000th

Discover similar universities

Affordable and Clean Energy 2024301-400^th

Sustainable Cities and Communities 2024401-600^th

Climate Action 2024601-800^th

Partnership for the Goals 2024801-1000^th