Universitas Atma Jaya Yogyakarta

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Singapore

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


Singapore Institute of Technology (SIT)

Finland

Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with the Finnish Center for Artificial Intelligence (FCAI), the Centre for AI Fundamentals at the University of Manchester, the Alan Turing Institute, ELLIS and the new ELLIS Institute Finland, and researchers from other fields.

Prof Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of Finnish Center for Artificial Intelligence and ELLIS Unit Helsinki. His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other topics below).

Topics

Machine learning foundations

Keywords: probabilistic modelling, Bayesian inference, simulation-based / likelihood-free inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, privacy-preserving learning, Bayesian deep learning, generative models

We are looking for a new postdoc in the team which develops probabilistic modelling and Bayesian inference methods. The team has several exciting new machine learning formulations we work on, and opportunities for applying the methods with top-notch collaborators. The core is always development of new methods, and with this call we are looking for talented researchers with background in machine learning, stats or CS (or other directly relevant topics) who are keen on developing the new methods. In the cover letter, let us know what you are interested in - if we are already working on it, all the better, but we are willing to listen to new ideas too.

Machine learning for synthetic biology and biodesign

Keywords: AI-based design, human-in-the-loop machine learning, collaborative AI, molecular modeling, graph neural networks, deep learning algorithms, generative models

We are searching for early career scientists to join our research team working towards next-generation machine learning methods for synthetic biology. The positions are available in two large multi-year projects (BIODESIGN and BIOFOUNDRY) focused on establishing virtual laboratories for protein engineering and biomanufacturing, implemented in collaboration between FCAI and VTT Technical Research Centre of Finland, and NSF Global Center on biofoundries. The aim of the projects is to design novel AI-based tools for bioengineering. These tools will combine cutting edge machine learning techniques, such as graph neural networks, deep generative models, Bayesian optimization, and human-in-the-loop learning with the synthetic biology expertise of VTT. The virtual laboratories are envisioned to have a wide range of applications in industry (e.g., new biochemicals, biomaterials and drugs), and to help the transition to a carbon-neutral society.

Applicants should have a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: AI-based design, Deep learning algorithms, Generative models, Human-in-the-loop machine learning, Collaborative AI, Molecular modeling, Reinforcement learning, Structured prediction.

The successful applicants will join a world-class research team with top AI researchers from FCAI and synthetic biology experts from VTT.

Real-time AI-assistance with computationally rational user models

Keywords: collaborative AI, human-in-the-loop ML/RL, reinforcement learning, user modelling

Despite recent advances in AI and machine learning, there are few AI solutions that can be applied when we cannot precisely specify the objective or do not have suitable data to learn from. This is particularly salient and challenging in ad hoc assistance for human users in complex tasks such as scientific discovery.?

This project aims to address this issue by learning these objectives, and to assist, directly from interaction with the users. To do so, we develop reinforcement learning techniques for AI-assistants and computationally rational user models that take into account factors such as cognitive biases to reason about human decision-making. We push state-of-the-art in AI that, through inference over - and planning with - such user models, is able to tackle problems that are otherwise out of reach of mainstream AI solutions.?

Supported by a High-performance computing grant from the Research Council of Finland, we are looking to strengthen this team with postdocs with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the fields listed under this topic is beneficial.

Team: this project will be carried out with a top expert on computational rationality, Prof. Andrew Howes of University of Exeter,? and experts in application domains.

Next generation distribution shifts

Keywords: distribution shift, out-of-distribution generalization, robust deployment, deep learning, experimental design

Robust algorithms for machine learning models are vital as the deployed scenario can differ from the training scenario in unexpected ways. Placing assumptions on the kind of distribution shift we expect, such as covariate or label shift, and accounting for it during training is common practice. However, these assumptions are often too restrictive for real-world settings, as the shifts encountered are typically more complex. Moreover, it is difficult to know a priori which shifts we need to account for. This project focuses on developing novel machine learning methods? that demonstrate robust performance by adapting to unforeseen shifts and diverse datasets during deployment.

We are looking for applicants with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: distribution shift, out-of-distribution generalization, out-of-domain generalization, sequential experimental design.

Your experience and ambitions

We expect the candidates to hold or be close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning.

Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary.

What we offer

We provide

RESEARCH ENVIRONMENT

You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and our new ELLIS Institute Finland, Centre for AI Fundamentals of the University of Manchester, the Turing Institute, and a number of excellent researchers in other fields in our applications.?

JOB DETAILS

Postdoc positions are typically made for up to three years. Starting dates are flexible. All positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically increased as the experience grows. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.

Ready to apply?

Submit your application through our recruitment system Workday by the link below. The deadline for applications is? February 2 2025 at 23:59 Finnish time, 2024.

Required attachments


	Cover letter (1–2 pages).?
	CV
	List of publications (please do not attach full copies of publications)
	A transcript of doctoral study
	The degree certificate of your latest degree. If you don’t yet have a PhD degree, a plan of completion must be submitted.
	Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.


All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Please note: Aalto University’s employees should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account.

Contacts: Coordinator Fang Wang (fang.wang@aalto.fi)

More Information

We are part of Finnish Centre for Artificial Intelligence FCAI and ELLIS Unit Helsinki. More information on their pages, and the frequently asked questions on this page. ?

Aalto University (53rd in the 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

United Arab Emirates, Abu Dhabi

Description

The research group of Prof. Sunil Kumar in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Postdoctoral fellow or research scientist to conduct research in the area of computational heat transfer and machine learning for radiative transfer in scattering media.

The successful applicant will use machine learning for solar photovoltaic (PV) and concentrated solar power (CSP) systems optimization, computational heat transfer and radiative transport using sophisticated numerical modeling and machine learning approaches for forward and inverse problems in radiation and fire research. The research associate will be responsible for simulation-based analysis for object detection methods and for optimization of solar energy applications. The applicant must be able to independently design, plan, and carry out the research project tasks as well as co-mentor doctoral researchers, and write journal and conference papers. The rank of postdoctoral fellow or research scientist will depend on the qualifications of the candidate selected.

The position is for the duration of 2 years starting on January 1, 2025, and it can be renewed based on performance and availability of funds.

Applicants must have a PhD in mechanical engineering, and experience with computational heat transfer and machine learning for heat transfer, especially radiation.

For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement and a list of references (references will be requested only for finalists), all in PDF format. If you have any questions, please email Prof. Sunil Kumar at?sunil.kumar@nyu.edu

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in 中国A片, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR:?www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


New York University Abu Dhabi Corporation

Hong Kong

The Chinese University of Hong Kong

Applications are invited for:-

Department of Educational Psychology

Professor / Associate Professor / Assistant Professor in Educational Psychology 

(Ref: 2400034A)

The Faculty of Education of The Chinese University of Hong Kong (http://www.fed.cuhk.edu.hk/) has a longstanding legacy in teacher training and is known for its world-class research excellence. The Department of Educational Psychology under the Faculty of Education (http://www.fed.cuhk.edu.hk/eps/) now invites applications for the position of Professor/ Associate Professor/ Assistant Professor in Educational Psychology. We are especially interested in those with expertise in one or more areas below:


	School psychology
	Special educational needs
	Educational neuroscience
	Artificial Intelligence (AI) and human-technology interface


Applicants should have (i) excellent academic qualifications including a doctorate degree in educational psychology or related disciplines; (ii) a solid research background in areas that will contribute or add to the existing strengths of the Department; (iii) a strong track record of programmatic research and publications as well as proven ability to obtain research grants; and (iv) strong commitment to excellence in teaching and scholarship.

The appointee will (a) develop and teach courses at postgraduate and undergraduate levels, (b) supervise taught and research postgraduate students, (c) bid for external competitive grants, and (d) assist in administrative matters. Scholars with demonstrated academic leadership, research excellence, a track record of extramural competitive funding and substantial experience in postgraduate students’ supervision are particularly encouraged to apply.

Appointment will normally be made on contract basis for up to three years initially commencing from August 2025, which, subject to mutual agreement, may lead to longer-term appointment or substantiation (that is, tenure) later. For candidate with outstanding research/ scholarship credentials and very good teaching/ service records, substantiation may be considered at initial appointment. Salary will be highly competitive, and commensurate with qualifications and experience.

Review of applications will begin in February 2025 and will continue until the position is filled.

Application Procedure

Applicants should submit an online application and upload a cover letter, a full curriculum vitae, a research statement, a teaching statement, and provide names and e-mail addresses of at least three referees for providing reference.

The University only accepts and considers applications submitted online for the post above. For more information and to apply online, please visit http://career.cuhk.edu.hk.


The Chinese University of Hong Kong

United Kingdom, London

Location
Docklands Campus

Salary
From ?45579 per annum inclusive of London Weighting

Post Type
Full Time

Post Type
Fixed Term

Contract Length
12 months

Closing Date
Monday 06 January 2025

Interview Date
Thursday 16 January 2025

Reference
053S2024

University of East London

We’re the University of East London (UEL) founded in 1898 and proud to change lives through education. Our goal is to advance industry 5.0 careers-first education and provide a clear path to the jobs and opportunities of the future. We’re committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a balanced, inclusive, and green future.

But we can't achieve this goal alone. We need forward-thinking, innovative, and curious individuals like you to join our community and help us craft our future. As part of our team, you'll have the opportunity to work with a diverse range of people who share your passion for creating positive change. We’re an inclusive and welcoming community that is constantly moving forward, never satisfied with the status quo.

About the School / Service?

We are Residential Life, and we oversee and manage the Halls of Residence at the University of East London, providing students with a safe, welcoming and supportive environment to live, learn and connect. Our team oversees 1,169 rooms across the Halls of Residence, acting as first point of contact for all residents, prospective residents, and summer conferencing guests.

Joining the Residential Life team means becoming part of a team committed to improving the student residential experience. We value professional growth and personal development, fostering an environment of collaboration, innovation and inclusivity that empowers us and the students we support.

About the Job

The Senior Residential Life Officer takes responsibility for providing effective operational management of our Halls of Residence, proactively seeking improvements to our student and guest experience in residences. ?This position is a temporary role to provide maternity cover, expected to last one year. The post holder will be based on campus, and weekend work is required.?


	Experience of working in a multi-functional residential service, of a similar size and complexity to our university accommodation
	Experience of supporting a summer conferencing programme (or similar) including classroom bookings, accommodation bookings, contract management and client liaison
	Experience of leading teams or individuals, providing vision, inspiring motivation, generating enthusiasm and empowering a culture of service delivery which meets or exceeds agreed standards for performance and customer service
	Experience of managing multiple people, monitoring of delivery and appraisal, including use of extra training and/or performance management techniques as and when required.
	Experience of project management within a student/customer focussed environment.
	Significant knowledge and understanding of health and safety and other statutory requirements related to the provision of student residential accommodation.


About You

The ideal candidate will have a strong background in managing multi-functional residential accommodation, ideally within a university or similar environment. You will bring hands-on experience in supporting diverse operational needs, including summer conferencing programmes, accommodation, and client liaison. A proactive approach to project management is essential, as is a good understanding of Health and Safety and other statutory requirements related to Residential accommodation. You’ll also be adept at managing staff performance, offering coaching and development where needed to achieve shared goals.

If you thrive in a fast-paced, customer-focused environment and are passionate about enhancing student and guest experiences, we’d love to hear from you.

Benefits Package

At UEL, we believe that a great role is about more than just a salary. It’s about the complete package, including our outstanding work environment and inclusive culture.

We offer a genuinely competitive salary, dependent on experience (DOE), and a range of excellent benefits.

You can explore our full benefits package here:?

https://uel.ac.uk/benefits-professional-services-positions

Equal Opportunities

UEL is an inclusive equal opportunities employer and are proud of our Equality, Diversity and Inclusivity achievements, including: zero gender pay gap, members of Stonewall and have won Athena Swan awards. We expect all employees of UEL to accept our EDI policy and will not tolerate discrimination in any form.

We're a disability confident employer and value all applications. Please let us know if you require any reasonable accommodations throughout the recruitment process.

So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and commit to success, we want you to apply today!

Please note that this advert may close earlier than the stated deadline if we receive a high volume of applications. We encourage you to submit your application as soon as possible.

Further Details

Job Description & Person Specification

To contact the recruitment team please phone?+44 20 8223 3000?x 4600 or e-mail?hrhub@uel.ac.uk

CVs without a completed application form will not be accepted.

At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.


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Universitas Atma Jaya Yogyakarta

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