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Miagao, Philippines
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Research Engineer (Organic Synthesis) - SKMA1

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

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 industry innovation research project where you will be part of the research team to develop new herbicide compounds focusing on synthesis and characterizations of HPPD inhibitor herbicides. 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. i. Undertake these responsibilities in the project: ii. Design and synthesize novel HPPD inhibitor compounds iii. Conduct laboratory experiments for the synthesis of target compounds, including purification and characterization using techniques such as NMR, MS, FTIR, GC and HPLC Optimize synthetic routes and troubleshoot any challenges encountered during synthesis Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements A master’s degree or Ph.D. in chemistry, or a related field. Experience in organic synthesis techniques and analytical instrumentation. Excellent problem-solving abilities and attention to detail. Strong written and verbal communication skills. Ability to work independently and collaboratively in a team environment. 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

Salary

Competitive

Posted

27 Apr 2026

Junior/Assistant Research Scientist in the Division of Social Science (Political Science)

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description Political scientists at New York University Abu Dhabi (NYUAD) are looking to hire a full-time junior or assistant research Scientist – equivalent to a research assistant/associate at other institutions – to start in September 2026. The position entails data management, replication, and visualization as well as literature reviews and light text editing. There might be an opportunity for co-authorships for a qualified candidate. A successful candidate must have advanced data analysis skills in R and Stata, experience with data visualization in R, and GIS data work in R and/or ArcGIS. The candidate must be self-motivated, an independent thinker, fluent in English, and have well-developed writing skills. The position is open to applicants with a master’s degree in any social science discipline, quantitative data analysis, or statistics, and with less than 5 years of research experience in the relevant field, and/or PhD degree with any level of experience. Candidates with qualifications in or familiarity with political science are preferred. This is a full-time position based at NYU’s campus in Abu Dhabi. The appointment will run from September 2026 until August 2027 with a possibility of extension. The terms of employment are competitive and include housing and educational subsidies for children. To be considered, all applicants must submit a cover letter, curriculum vitae, research statement, transcript of degree, and the names of at least two referees, all in PDF format. If interested, please apply on Interfolio by April 10, 2026. For any questions feel free to reach out to Leonid Peisakhin lvp2@nyu.edu , Peter van der Windt pvd2@nyu.edu, and Christopher Paik cp92@nyu.edu. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD

Salary

Competitive

Posted

27 Apr 2026

Post-Doctoral Associate Division of Social Science – Dr. Stephane Helleringer

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description We are inviting applications for a Post-Doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in demography, epidemiology, public health, or a related discipline in the social sciences. The appointment will begin September 1, 2026, subject to final budget approval and is available for up to three years. The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professor Stéphane Helleringer. The collaborative research will be on population health and its determinants in low-and-middle-income countries, with an emphasis on measurement issues and the impact of crises such as epidemics and disasters. The job entails conducting high-quality research on population health and its determinants in low-and-middle-income countries. This includes conceptualizing research questions, designing empirical studies, collecting or acquiring new data sets, and analyzing these data using advanced statistical models and visualization techniques. The job also emphasizes the dissemination of knowledge about population health, particularly through the preparation of peer-reviewed manuscripts, software packages and/or participation in international conferences. Candidates must hold a PhD in demography, epidemiology, public health or related discipline in the social sciences. The ideal candidate is preferred to have prior experience with data collection and collaboration in low-and-middle-income countries and good knowledge of R or other software for data management, analysis and visualization. The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and 70 faculty in the Division of Social Science. For consideration, applicants must submit a cover letter, curriculum vitae with full publication list, transcript, statement of research interests and the names of two referees, all in PDF format. If you have any questions, please email Professor Helleringer at sh199@nyu.edu. The review of applications will start on February 1st, 2026, and will continue until the position is filled. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply.

Salary

Competitive

Posted

27 Apr 2026

Professor/Associate/Assistant Professor in Business and the School of Computing and Data Science

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Tenure-Track Professor/Associate Professor/Assistant Professor in HKU Business School and the School of Computing and Data Science Ref.: 536106 Work type: Full-time Department: Faculty of Business and Economics (07030) Categories: Professoriate Staff Applications are invited for a joint appointment as Professor/Associate Professor/Assistant Professor in Statistics in HKU Business School and the School of Computing and Data Science, to commence as soon as possible. Appointment will be made on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year contract. Exceptionally outstanding candidates at Professor/Associate Professor level may be considered for appointment on tenure terms. HKU Business School HKU Business School is a leading business school in Asia, offering a full range of undergraduate, taught postgraduate, MBA, EMBA and research postgraduate programmes. It is ranked 1st in Asia and 6th globally in the 2025 UTD Business School Research Ranking, and 1st in Asia and 11th globally in the 2026 Financial Times Research Ranking. The School has a strong cohort of academic staff across six academic areas and provides a vibrant environment for high‑impact research and education. The School is committed to excellence in research and teaching, and to fostering impactful scholarship that serves Hong Kong, the Greater Bay Area, China and the world. Further information about the School can be found at https://www.hkubs.hku.hk/. The School of Computing and Data Science The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. CDS is ranked 18th globally in Data Science and Artificial Intelligence, 21st in Computer Science and Information Systems, and 32nd in Statistics and Operational Research in the QS World University Subject Rankings. For more information about the School, please visit http://www.cds.hku.hk. We are seeking outstanding scholars whose research and teaching lie at the interface of modern statistical methodology, artificial intelligence and data science, and who can contribute to cross-disciplinary collaborations between HKU Business School and the School of Computing and Data Science. The appointee will have their tenure home in HKU Business School (Statistics Group), and will be jointly appointed to the School of Computing and Data Science.  As an AI+Business hire, the appointee is expected to develop a creative and impactful programme of research and teaching that integrates advanced statistical methods and AI with business, economics, and insurance and to play a leading role in fostering collaborations across the two units. The Statistics Group in the Innovation and Information Management (IIM) Area at HKU Business School The Statistics Group in the IIM Area at HKU Business School focuses on statistics and business analytics. The Group’s main research interests span the frontiers of modern statistical methodology and applications, including (but not limited to) machine learning, artificial intelligence, high-dimensional statistical inference, functional data analysis, time series analysis, econometrics, factor models, and privacy protection. The Group’s research is widely applied in areas such as healthcare and bioinformatics, service engineering, financial markets, educational assessments, and psychological measurement. The appointee is expected to complement and strengthen these areas, and to contribute to the Group’s growing portfolio of AI- and data-driven business analytics research. Duties The appointee is expected to: develop and maintain a vigorous, high-quality research agenda with a strong AI and data science component; publish in leading peer-reviewed journals and present at major international conferences; seek and secure external competitive research funding; contribute to teaching at undergraduate and postgraduate levels in statistics, data analytics and related areas, including AI-rich programme offerings; supervise research postgraduate students; and undertake service and administrative duties in HKU Business School, the School of Computing and Data Science, and the University as appropriate. Those appointed at Professor/Associate Professor level will also be expected to mentor and nurture the next generation of scholars and researchers, and assume high-level service/administrative responsibilities. Qualifications Applicants should possess a Ph.D. in Statistics, Data Science, Computer Science, Econometrics or a closely related field. The ideal candidate will: demonstrate a robust research record in statistics and/or machine learning, with applications in business, economics, finance, insurance or related areas; show evidence of, or potential for, cross-disciplinary research that bridges statistics, AI and business; exhibit a strong commitment to excellence in both research and teaching; and for appointment at Professor/Associate Professor level, have an international reputation and proven academic leadership in their field. What we offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.  At current rates, salaries tax does not exceed 15% of gross income.  The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary.  Housing benefits will be provided as applicable. How to apply The University only accepts online applications for the above post. Applicants should apply online and upload: (i) a cover letter explaining their fit for a joint appointment and outlining how they can contribute to cross‑disciplinary teaching and research that bridges statistics, AI and business; (ii) a curriculum vitae; (iii) a research statement (including current and planned collaborations with both business and data science communities); (iv) a teaching statement (including experience or plans in AI‑rich and interdisciplinary curricula); and (v) 2 or 3 of their most significant research publications, together with the names and contact information of at least three referees who can comment on their research, teaching and collaborative track record. Review of applications will commence as soon as possible and continue until June 30, 2027, or until the posts are filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Advertised:Apr 27, 2026 (HK Time) Applications close:Jun 30, 2027 (HK Time)

Salary

Competitive

Posted

27 Apr 2026

Research Engineer (Robotics) - KCM1

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


Posting Start Date: 21/04/2026 Schemes of Service: Research Division: Engineering Employment Type: Fixed Term About the Project We are seeking a highly motivated Research Engineer to spearhead a pioneering project involving the integration of a high-precision surveyor tool (Trimble S9 HP total station) onto a dynamic legged robot. This project moves beyond standard mechanical integration, focusing heavily on the software architecture required for seamless, automated operation. The core objective is to architect and develop the robust middleware that facilitates real-time communication between the legged robot's controller and the sophisticated surveying payload. By taking on this role, the successful candidate will master the art of payload integration and middleware development—a highly sought-after skillset that empowers engineers to upgrade, integrate, or automate virtually any tool or sensor payload in their future careers. Key Responsibilities Middleware Development: Architect, build, and maintain the communication middleware bridging the legged robot's control system and the surveyor payload. Systems Integration: Ensure seamless hardware and software integration between the mobile base and the high-precision surveying equipment. Mapping & Navigation: Implement and optimize mapping algorithms and remote control functionalities tailored for a legged platform navigating complex terrains. Protocol Implementation: Utilize robust industrial communication protocols and custom scripts to ensure reliable data transfer and command execution. Testing & Validation: Design and execute rigorous field testing procedures to validate the integrated system's accuracy, stability, and reliability. Qualifications & Requirements Bachelor’s degree in Robotics Systems Engineering, Mechatronics, Computer Science, or a closely related field. (Graduating students finishing coursework by April are highly encouraged to apply). Strong foundational knowledge of legged robotics, including locomotion, kinematics, and control systems. Proven proficiency in robotics middleware (e.g., ROS/ROS2) and related communication frameworks. Hands-on experience with mapping technologies (SLAM) and remote operation systems. Strong programming skills, particularly in Python and C++. Familiarity with industrial protocols and serial communication. A proactive mindset with the ability to troubleshoot complex electro-mechanical and software integration challenges. Why Join This Project? Gain hands-on experience with cutting-edge legged robotics and top-tier industrial surveying equipment. Develop highly transferable skills in systems integration that will set you apart in the robotics and automation industry. Work in an innovative academic research environment with opportunities to define the architecture of a novel automated system.

Salary

Competitive

Posted

27 Apr 2026

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