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Universidad Nacional de Villarrica del Espíritu Santo

Universidad Nacional de Villarrica del Espíritu Santo is a public university located in Villarica, Paraguay. 
There are seven faculties at the university including engineering and architecture; philosophy and human sciences; legal, political and social sciences; physical, chemical and mathematical sciences; economic sciencs; health sciences and agricultural sciences. There is also a graduate school, the school of art and culture and the school of gastronomy, hospitality and tourism. 
The university publishes The Scientific Magazine which publishes scientific work in a range of areas.

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Universidad Nacional Villarrica del Espíritu Santo

No Poverty

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Singapore

SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our education, providing them with a talented workforce and benefiting from our collaborative research endeavours.

Our?University’s distinctive?applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world settings. Through strategic partnerships forged by our academic staff with industry, learners bridge theoretical knowledge with practical application inside?and outside?of the classroom. These active and authentic learning opportunities ensure that?graduates enter?their careers with relevant?skills and competence.

In research, SIT faculty aims to bridge the gap between?knowledge creation and utilisation. Our faculty work?closely with industry on translational research and innovation, focusing on addressing significant?industry challenges to positively?impact businesses.

The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support exceptional?Singaporeans who are?interested in pursuing an academic career at SIT.

The Early Career Awards (ECA) are designed to support Singaporeans who have recently completed their postdoctoral training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio.

Eligibility and Selection Criteria


	Singapore Citizen??
	Recently completed postdoctoral training??
	Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas?
	Strong passion for teaching, research and an academic career


Benefits

Awardees may receive research grants to help build a competitive research portfolio. Upon completion of the award, awardees will be considered for Assistant Professorship.

Awardees will also be assigned a faculty mentor for the duration of the scheme.

Application Process


	Applications are open throughout the year. Applications received before 15 January 2026 will be considered for the 2026 intake.?
	Interview by the respective clusters for shortlisted applicants will be conducted throughout the year.?
	Final Interview by Panel for shortlisted applicants will take place from March to April 2026.
	Awards for the 2026 intake will be finalised by July 2026.


Supported Areas for START

Health Sciences?


	Diagnostic Radiography:?Radiography involves the controlled use of ionising radiation, radioactive substances and non-ionising radiation to produce diagnostic quality images of the human body, facilitating the diagnosis and treatment of patients (Allied Health Professions Act 2011).
	Dietetics:?Dietetics involves the management of medical conditions and promotion of health through application of food and nutrition. Dietitians provide medical nutrition therapy and implement specific diet strategies for chronic medical conditions, illnesses, or injuries (Singapore Nutrition and Dietetics Association).
	Nursing:?Registered nurses render health services to individuals, families, and communities (Singapore Nursing Board Code for Nurses and Midwives 2018).
	Speech and Language Therapy:?Speech and Language Therapy involves assessment, diagnosis, treatment and management of communication and swallowing disorders (Allied Health Professions Act 2011).
	Occupational Therapy:?Occupational therapy involves assessment and interventions to work or school, self-care, leisure or play, physical environments as well as cognitive, mental and physical components of function to enable individuals affected by physical injury or illness, developmental or learning disabilities, psychosocial dysfunctions or the aging process, to engage in everyday life occupations in order to maximise independent performance of life roles, prevent disability and maintain health (Allied Health Professions Act 2011).
	Physiotherapy:?Physiotherapy involves assessment, treatment, rehabilitation and prevention of pain, injury, or any other physical dysfunction, through the use of education, exercise, manual therapy, electro-physical agents, technology or any other treatment for those purposes (Allied Health Professions Act 2011).



Singapore Institute of Technology (SIT)

Morocco

Postdoctoral Opportunity : Nuclear Physics and Applications – UM6P

About Mohammed VI Polytechnic University (UM6P)

Mohammed VI Polytechnic University (UM6P) is a leading African institution committed to research and innovation, aiming to establish itself as a world-class university in its areas of expertise. Located in Benguerir, at the heart of the Green City, UM6P actively contributes to economic and human development by placing research and innovation at the forefront of Africa's advancement. The university is dedicated to generating sustainable impact at national, continental, and international levels.

About the Center of Expertise for Phosphates (CEPH)
The Expertise Center for Phosphates (CEPH) collaborates with industry through a joint program focused on enhancing industrial performance and achieving operational excellence. By leveraging applied research and innovations, CEPH bridges academic expertise with industrial needs to foster progress and efficiency in phosphate-related activities.

Position: Postdoctoral Researcher in Nuclear Physics and Applications
We are seeking a Postdoctoral Researcher specializing in nuclear physics and its applications, with expertise in radiochemistry applied to the phosphate industry.

Key Responsibilities
1.?? ?Analysis and Monitoring of Radionuclides and Heavy Metals:
o?? ?Develop and implement nuclear analysis methods to characterize phosphate ores and their by-products.
o?? ?Monitor and control the migration of radionuclides and heavy metals throughout industrial processes.
2.?? ?Optimization of Industrial Processes:
o?? ?Utilize nuclear techniques to enhance the efficiency and sustainability of industrial processes.
o?? ?Collaborate with production teams to integrate innovative solutions.
3.?? ?Development of Advanced Systems and Methodologies:
o?? ?Design detection and dosimetry systems tailored to the specific needs of the phosphate industry.
o?? ?Innovate analytical methodologies to identify optimization opportunities.?
4.?? ?Training and Awareness:
o?? ?Participate in training and raising awareness among industrial teams on radioprotection and nuclear techniques.
o?? ?Supervise students and young researchers.

Required Skills
1.?? ?Nuclear Instrumentation and Advanced Detection Techniques:
o?? ?Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4).
o?? ?Knowledge of multi-element analytical techniques (PIXE, XRF, ICP-MS).
2.?? ?Valorization of Industrial Waste:
o?? ?Experience in developing processes for treating and valorizing radioactive industrial waste.
3.?? ?Cross-Functional Skills:
o?? ?Ability to write technical reports and scientific publications.
o?? ?Experience collaborating with multidisciplinary academic and industrial teams.
o?? ?Project management and team supervision capabilities.

Candidate Profile
??? ?Ph.D. in Physics or equivalent, with a specialization in nuclear physics and detection techniques.
??? ?Experience in academic and/or industrial projects related to the phosphate industry or similar fields.
??? ?Strong command of Monte Carlo software and advanced analytical techniques.
??? ?Scientific publications in specialized journals.


Mohammed VI Polytechnic University

Hong Kong

Ref.:?532219
Work type:?Full-time
Department:?Department of Medicine, School of Clinical Medicine (20600)
Categories:?Senior Research Staff & Post-doctoral Fellow, Research Staff

Senior Research Assistant/Research Assistant I/II in the Department of Medicine, School of Clinical Medicine?(Ref.: 532219)

We now invite applications for the captioned post.

Duties and Responsibilities


	Lead health economic model development to analyse the cost-effectiveness, cost-benefit and/or budget impacts of treatment strategies, and conduct sensitivity analyses and scenario planning
	Source appropriate epidemiological data and relevant factors as model inputs into modelling frameworks, by targeted literature review and secondary data analysis
	Perform big data-based epidemiological studies in health services and policy
	Communicate study findings into actionable recommendations for decision makers
	Disseminate findings via peer-reviewed scientific publications, conferences and public engagement
	Prepare grant proposals and reports
	Provide general administrative and operational support
	Perform other duties as assigned


Requirements


	A Master’s or Ph.D. degree, preferably in health economics, public health, epidemiology, biostatistics, or related disciplines with modelling and coding exposure; candidates holding Bachelor’s degree may be considered as Research Assistant I/II
	Experience in analysing large complex administrative datasets using programming languages such as R, SAS, Stata and Python
	A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model techniques and econometric analyses
	Good knowledge in appraising, designing and operating epidemiological studies
	Good understanding in chronic diseases, drug utilization and health financing system of Hong Kong
	Passion to develop a career in health technology assessment (HTA)
	Excellent communication skills, organizational skills, independent research capability and ability to collaborate in a multidisciplinary team
	An excellent command of written and spoken Chinese and English
	A track record of publications, especially economic evaluation; and experience in collaborating with external stakeholders would be advantageous?


What We Offer

The appointment will commence as soon as possible on a 1-year temporary basis or 2-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability.

A highly competitive salary commensurate with qualifications and experience will be offered. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme at 10% of basic salary.?Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.

Those who have responded to the previous advertisement (Ref.: 531020) need not re-apply.?

How to Apply

The University only accepts online application for the above post.?Applicants should apply online and upload an up-to-date C.V.?Review of applications will start from [two weeks from posting] and continue until?August 25, 2025, or until the post?is?filled, whichever is earlier.

The University is an equal opportunities employer and?is committed to equality, ethics, inclusivity, diversity and transparency


The University of Hong Kong

?44,355 - ?51,735 per annum, including London Weighting Allowance

United Kingdom, London

About us

The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models,? graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge representation, knowledge engineering, linked data.

About the role

The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but also process blueprints and guidance for knowledge engineers to use generative AI tools productively.?

The post holder will work closely with Prof Elena Simperl and Dr Albert Mero?o Pe?uela and a team of 15+ researchers and PhD students in the area of knowledge graphs. The role covers research in the areas mentioned above, as well as the production of scientific publications and application showcases to drive research impact. The researcher will also be expected to support the organisation of impact creation activities, including hackathons, workshops, tutorials, and community meetups. The research outputs will inform work undertaken in the group in several large collaborative grants and application areas, including cultural heritage, enterprise data management, and legal compliance.

The ideal candidate will have solid expertise in the technical areas mentioned earlier, as well as a proven track record of scientific excellence (through publications in A and A* conferences and journals) and of open science and FAIR practices (through software, datasets and other research outputs, participation in challenges etc). Familiarity with knowledge engineering methodologies and with semantic technologies, in theory and practice, is a firm requirement.?

The post is full-time (35 hours per week), offered on a fixed term contract for 18 months. We can discuss part-time options in exceptional circumstances. There is also the option to extend the contract beyond the 18 months provided funding is available.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria


	PhD in computer science, AI or related area
	Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS, OWL
	Proven experience with predictive and generative AI
	Practical experience in using large language models, generative AI techniques, prompt engineering
	Proven record of A/A* scientific publications and open science/FAIR practices
	Teamwork skills demonstrated e.g. through project work, organization of joint events, co-authored papers etc.
	Time management and organisational skills, including experience in organizing small scientific workshops and similar


Desirable criteria


	Familiarity with the design of AI enabled tools, AI assistants, and agentic AI
	Familiarity and contributions to Wikipedia and/or Wikidata
	Familiarity with one or more of these application domains for neuro-symbolic AI: law, cultural heritage, enterprise data management
	Track record of organising dissemination and community building events e.g. workshops or tutorials co-located with academic conferences


Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

*?Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.

Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘?How we Recruit’ pages.

Grade and Salary:??44,355 - ?51,735 per annum, including London Weighting Allowance
Job ID:?116389
Close Date:?30-Jun-2025
Contact Person:?Elena Simperl
Contact Details:?Elena.simperl@kcl.ac.uk


King's College London

United Arab Emirates, Abu Dhabi

Description

The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning.

Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code.

Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu? [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and? distributed machines).

In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance. In some situations, some optimizations are harmful to performance while they are beneficial in other situations. Currently, there is no way to help users choose which optimizations should be used.? Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations.

The goal of this project is to add support for automatic code optimization in Tiramisu.? In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs.

For consideration, applicants need to submit a cover letter, curriculum vitae, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Riyadh Baghdadi at baghdadi@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 higher education, 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.

References

[1]?http://tiramisu-compiler.org/


New York University Abu Dhabi Corporation

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Universidad Nacional de Villarrica del Espíritu Santo

About Universidad Nacional de Villarrica del Espíritu Santo

Impact Rankings

Impact Rankings 20241501+

No Poverty 2024601-800^th

Zero Hunger 2024601-800^th

Good Health and Wellbeing 20241001+

Quality Education 2024801-1000^th

Gender Equality 20241001+

Clean Water and Sanitation 2024801+

Affordable and Clean Energy 2023601-800^th

Decent Work and Economic Growth 2024801-1000^th

Reduced Inequalities 2023801+

Sustainable Cities and Communities 2023801+

Responsible Consumption and Production 2022401-600^th

Climate Action 2024601-800^th

Life below Water 2023401+

Life on Land 2024601+

Peace, Justice and Strong Institutions 20241001+

Partnership for the Goals 20241501+

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Universidad Nacional de Villarrica del Espíritu Santo

About Universidad Nacional de Villarrica del Espíritu Santo

Impact Rankings

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

No Poverty 2024601-800th

Zero Hunger 2024601-800th

Good Health and Wellbeing 20241001+

Quality Education 2024801-1000th

Gender Equality 20241001+

Clean Water and Sanitation 2024801+

Affordable and Clean Energy 2023601-800th

Decent Work and Economic Growth 2024801-1000th

Reduced Inequalities 2023801+

Sustainable Cities and Communities 2023801+

Responsible Consumption and Production 2022401-600th

Climate Action 2024601-800th

Life below Water 2023401+

Life on Land 2024601+

Peace, Justice and Strong Institutions 20241001+

Partnership for the Goals 20241501+

Discover similar universities

Impact Rankings 20241501+

No Poverty 2024601-800^th

Zero Hunger 2024601-800^th

Quality Education 2024801-1000^th

Affordable and Clean Energy 2023601-800^th

Decent Work and Economic Growth 2024801-1000^th

Responsible Consumption and Production 2022401-600^th

Climate Action 2024601-800^th