Rajamangala University of Technology Srivijaya

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World University Impact Rankings - Clean Energy 2023

No Poverty

Zero Hunger

Good Health and Wellbeing

Gender Equality

Clean Water and Sanitation

Affordable and Clean Energy

Decent Work and Economic Growth

Reduced Inequalities

Sustainable Cities and Communities

Responsible Consumption and Production

Climate Action

Life on Land

Peace, Justice and Strong Institutions

World University Impact Rankings - Clean Energy 2024

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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

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 primary responsibility of this role is to deliver on an applied research project as a part of Infocomm Technology cluster at SIT. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims to overcome the issues raised by using real-world PII data.

Key Responsibilities:


	Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
	Design a Natural Language Processing algorithm for identifying Personal Identity Information data.
	Design and evaluate privacy preserved Generative AI-based algorithm for generating synthetic data.
	Validate integrated system functionality and performance.
	Help produce progress reports and technical papers on research work.
	Ensure compliance with Work, Safety and Health Regulations.
	Assist in project resource requirements and managing student projects.


Job Requirements:


	Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent.
	Have relevant research/industry experience in Machine Learning, AI and Privacy.
	An excellent team player who can cope with an agile and fast-paced environment.
	Good communication and interpersonal skills.
	Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.??



Singapore Institute of Technology (SIT)

Australia, Bundoora

Director, Strategic Procurement


	Executive position
	3 – 5 year contract
	Strategy Focus and Delivery


The Director, Strategic Procurement is responsible for the success of the procurement function and will work closely with other commercial and business service functions within the Procurement and Business Services (PBS) team.?

Reporting to the Executive Director, Procurement and Business Services, this position will be responsible for ensuring the delivery of quality procurement strategy, governance integrity, commercial best value, and executive quality reporting.

What we are looking for in this role:?


	A strong track record of diverse, high quality, fit for purpose sourcing strategy execution.
	Demonstrated ability to establish and sustain trusted relationships with internal and external stakeholders, extending to senior executives, business unit leaders, and key suppliers.
	Lead, mentor, and develop a team of skilled procurement professionals, fostering a collaborative and high-performance work environment.
	Demonstrated ability to provide strategic insight and detailed inquiry to project, program and portfolio oversight.
	Exceptional engagement and communications skills.?
	Proven capability to prioritise and adapt to deliver outstanding operational and commercial outcomes in a complex environment.
	Achieve best value strategic sourcing outcomes, measured through bottom line benefits, cost avoidance, performance improvements, and sustained business benefit.\


The requirements to succeed, in this role are:


	Significant Strategic Procurement experience and sound knowledge and understanding of contemporary strategic procurement approaches.
	Ability to effectively develop, communicate and present complex business case / procurement strategy proposals.
	Ability to take responsibility for delivery of programs of work that are impactful at an organisational level.
	Demonstrated capacity to collaborate and maintain strong and productive relationships with supply partners, teams, peers and stakeholders at all levels.
	Highly developed consulting, interpersonal, communication (written and oral) and presentation skills.
	Demonstrated capacity for analytical and conceptual thought in the diagnosis of problems and in providing innovative, timely, relevant and practical solutions.
	Strong consultative capability and the ability to consistently offer expert commercial and strategic procurement advice to achieve best value outcomes.
	Develop effective and efficient procurement process, track, measure and report procurement effectiveness.
	Identification of commercial and operational efficiency improvement opportunities. Manage implementation.
	Oversee the financial interface of procurement, ensuring budgetary compliance, and providing regular reports to senior management.


Join Our Team: At La Trobe University, we are committed to fostering a diverse and inclusive workplace where all employees can thrive. If you are passionate about cyber security and driven to make a positive impact in the 中国A片 sector, we want to hear from you.

Welcome to Bundoora campus – Please click on the video link below:? 

https://f.io/KDo0ceng

?Apply Now: To apply for this exciting opportunity, please:

Submit your resume and a cover letter outlining;


	Provide an example on how procurement influenced decisions and strategy to the business and what was the outcome?
	What attracts you to the 中国A片 sector?


(Please note no more than 2 pages.)

Recruitment Enquiries:? Peter Andreopoulos P.Andreopoulos@latrobe.edu.au

Email:??P.Andreopoulos@latrobe.edu.au

Closing date:? By 11:55pm Sunday 19th January 2025

?Position Description below:

50148224 PD Director Strategic Procurement ESMC1.docx

Aboriginal and Torres Strait Islander Applicants?
We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.?

La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates.

?All La Trobe University employees are bound by the Working with Children Act 2005.? If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.




La Trobe University

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

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 中国A片. 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

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Rajamangala University of Technology Srivijaya

About

Impact Rankings

Impact Rankings 20241001-1500^th

No Poverty 2024301-400^th

Zero Hunger 2024201-300^th

Good Health and Wellbeing 20241001+

Quality Education 20241001-1500^th

Gender Equality 20241001+

Clean Water and Sanitation 2024301-400^th

Affordable and Clean Energy 2024601-800^th

Decent Work and Economic Growth 2024801-1000^th

Industry, Innovation and Infrastructure 2024601-800^th

Reduced Inequalities 20241001+

Sustainable Cities and Communities 2024601-800^th

Responsible Consumption and Production 2024301-400^th

Climate Action 2024401-600^th

Life below Water 2024201-300^th

Life on Land 2024301-400^th

Peace, Justice and Strong Institutions 2024801-1000^th

Partnership for the Goals 20241001-1500^th

Discover similar universities

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中国A片

Rajamangala University of Technology Srivijaya

About

Impact Rankings

No Poverty 2024301-400th

Zero Hunger 2024201-300th

Good Health and Wellbeing 20241001+

Quality Education 20241001-1500th

Gender Equality 20241001+

Clean Water and Sanitation 2024301-400th

Affordable and Clean Energy 2024601-800th

Decent Work and Economic Growth 2024801-1000th

Industry, Innovation and Infrastructure 2024601-800th

Reduced Inequalities 20241001+

Sustainable Cities and Communities 2024601-800th

Responsible Consumption and Production 2024301-400th

Climate Action 2024401-600th

Life below Water 2024201-300th

Life on Land 2024301-400th

Peace, Justice and Strong Institutions 2024801-1000th

Partnership for the Goals 20241001-1500th

Discover similar universities

No Poverty 2024301-400^th

Zero Hunger 2024201-300^th

Quality Education 20241001-1500^th

Clean Water and Sanitation 2024301-400^th

Affordable and Clean Energy 2024601-800^th

Decent Work and Economic Growth 2024801-1000^th

Industry, Innovation and Infrastructure 2024601-800^th

Sustainable Cities and Communities 2024601-800^th

Responsible Consumption and Production 2024301-400^th

Climate Action 2024401-600^th

Life below Water 2024201-300^th

Life on Land 2024301-400^th

Peace, Justice and Strong Institutions 2024801-1000^th

Partnership for the Goals 20241001-1500^th