KTO Karatay University

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KTO Karatay Universitesi

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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 post:

Associate Professor / Assistant Professor
Department of Accountancy
(Post Ref.: 24/379)

The Department is now inviting applications for the post of Associate Professor / Assistant Professor. The appointee is expected to contribute to high quality research, teaching, and service.

General Requirements

Candidates should have a PhD degree in Accountancy. For appointment as?Associate Professor, candidates should have at leave five years of relevant experience and a sound track record in research and scholarly activities. For appointment as?Assistant Professor, candidates should have relevant teaching experience, a good research record and must demonstrate good potential in publishing high-quality papers. Top-tier publications and successful GRF applications will be advantages.

Lingnan University pursues excellence in both teaching and research. The appointee is expected to apply for external competitive grants, and commit to teaching excellence and active services to the Department, the Faculty, and the University. Applicants are required to provide information on their work experience, qualifications, research records, and evidence of quality teaching. Excellent communication and presentation skills are essential. Administrative experience in university departments would be an advantage.

Appointment

The conditions of appointment will be competitive. The rank and 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 appointee. Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation.

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 post is filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.


Lingnan University

United Kingdom, Glasgow

Closing date:?27/01/2025
Salary Range:??32,296 - ?33,882
FTE: 1 (35hours/week)
Term: Fixed (6 months)

We are seeking a Research Assistant to work in the marine modelling group of the Department of Mathematics and Statistics. The successful candidates will join our team working on applying and extending the scope of the StrathE2E marine ecosystem model for regions of the Atlantic Ocean (https://outreach.mathstat.strath.ac.uk/apps/StrathE2EApp/), contributing to research being carried out in the Mission Atlantic (https://missionatlantic.eu) research programme.

The successful applicants will have obtained at least an honours degree and preferably a Masters in a quantitative field of marine environmental science. They will need to demonstrate an up-to-date knowledge of research on marine fisheries and/or climate change, and their effects on food webs and the marine environment. They will also show an aptitude for writing research reports, and have experience of coding in R.

For any informal enquiries, please contact Chancellors fellow, Jack Laverick (jack.laverick@strath.ac.uk)

please click here for further details.pdf


University of Strathclyde

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

United Kingdom, Bedford

Faculty or Department:?Faculty of Engineering and Applied Sciences
Based at:?Cranfield Campus, Cranfield, Bedfordshire
Hours of work:?37
Contract type:?Permanent
Salary:?Full time starting salary is normally in the range of: Lecturer: ?48,039 to ?57,797 with potential progression to ?70,000 per annum Senior Lecturer: ?60,099 to ?69,505 per annum with potential progression up to ?85,000 per annum.
Apply by:?24/01/2025

Role Description

We welcome applications for this exciting permanent academic post from passionate Avionic specialists to join our highly successful Centre for Aeronautics Aircraft Design Group who want to make a significant impact in shaping, and the future direction, of our Centre’s portfolio of research, design and consultancy activities in the areas of avionic systems design and integration.

About the Role

You will be responsible for the development and delivery of high-quality teaching at postgraduate level in avionic systems design and integration and world leading research in areas of interest relevant to future aerospace industry requirements. Our academics are supported and encouraged to build their research teams and wider networks through successful research funding applications. The role is challenging and involves planning, integrating and coordinating diverse responsibilities in research, consultancy, project management, teaching and research student supervision.

About You

For this opportunity, we are looking for a suitably qualified and experienced individual, and actively encourage applicants from industry (aerospace) or those with related industry experience who wish to develop their career in an environment which provides a greater degree of personal autonomy with respect to research activities than is commonly found in an industrial environment. Experience of high impact, cross-disciplinary and industrially relevant research will be advantageous. At the Senior Lecturer level, we expect the candidate to provide leadership, such as in course management, business development, preparing large funding bids, acting as a Principal Investigator on large, funded research projects and managing collaborative networks of researchers linked with industry.

You will be educated to doctoral level in a relevant subject or have equivalent extensive industry experience. With a track record and solid experience of R&D related to Avionics design or systems together with evidence of collaborative working with other discipline specialists, you will also have the ability to develop business opportunities and attract income.

With excellent communication & influencing skills, you will ideally have teaching experience at postgraduate level and professional development courses. Highly computer literate, expertise in programming would be ideal.

About Us

As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact?here.

Aerospace is at the heart of Cranfield’s global research airport and is renowned throughout the world for its teaching and research in the fields of aviation and aerospace. Cranfield’s six centres are the powerhouses of our world class research, driving technological and conceptual advances in?aeronautics, propulsion engineering, cyber-physical systems and intelligent automation. Through the strong links with industry built over the past 70 years, we focus on defining and delivering the aircraft, airport and airspace management of the future and are the only university in Europe with our own airport and runway. Cranfield Aerospace is internationally recognised as the first choice for research and education in all aspects of aerospace including aircraft, drones, urban air mobility and space.? Find out more about our work here?About Aerospace.

Our Values and Commitments

Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more?here.

We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity?Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working?here.

Working Arrangements

Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners.

How to apply

For an informal discussion about this opportunity, please contact Prof Howard Smith on?Howard.smith@cranfield.ac.uk

Please do not hesitate to contact us for further details on E:?hrrecruitment@cranfield.ac.uk. Please quote reference number 4983

Closing date for receipt of applications: 24 January 2025

This role may require you to have the ability to obtain UK Security Clearance


Cranfield University

Closing date: 03/02/2025
Salary range:??36,924 - ?45,163 (Pro Rata)
FTE: 0.8 (28 hours/week)
Contract Type: Fixed Term (18 months)

The Department of Psychological Sciences and Health is recruiting a Research Associate to work with Dr Dwight Tse on the ESRC-funded project “A Comprehensive approach to enhance Older adults' Preparedness for Extreme temperatures (COPE)”. This is a joint project with researchers at University of Exeter and international collaborators (e.g., Canada, Hong Kong, Israel, Sweden) to enhance older adults' preparedness for extreme heat by co-developing localised adaptation and mitigation strategies with community partners, integrating their lived experiences to improve health, safety, and well-being. This post is available on 01 May 2025 (start date is flexible), for a fixed term of 18 months.

As a Research Associate, under the general guidance of Dr Dwight Tse, you will develop research objectives and proposals, play a lead role in relation to a specific project/s or part of a broader project, conduct individual and/or collaborative research, contribute to the development of new research methods, identify sources

For informal enquiries, please contact Senior Lecturer in Psychology,?Dwight Tse (dwight.tse@strath.ac.uk)

please click here for further details.pdf


色盒直播

KTO Karatay University

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Impact Rankings

Impact Rankings 20241001-1500^th

Good Health and Wellbeing 2024801-1000^th

Affordable and Clean Energy 2024401-600^th

Industry, Innovation and Infrastructure 2023601-800^th

Reduced Inequalities 2024201-300^th

Partnership for the Goals 20241501+

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色盒直播

KTO Karatay University

About

Impact Rankings

Good Health and Wellbeing 2024801-1000th

Affordable and Clean Energy 2024401-600th

Industry, Innovation and Infrastructure 2023601-800th

Reduced Inequalities 2024201-300th

Partnership for the Goals 20241501+

Discover similar universities

Good Health and Wellbeing 2024801-1000^th

Affordable and Clean Energy 2024401-600^th

Industry, Innovation and Infrastructure 2023601-800^th

Reduced Inequalities 2024201-300^th