Total 315 Junior Executive level Education / Training job vacancies in george town

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

We are seeking a passionate, detail-oriented Research Assistant to assist in community based studies on early detection and prevention of cognitive decline in seniors.

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting research studies according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

1. Coordinate the submission of new ethics applications, study amendments and annual reports.
2. Work closely with principal investigators, research fellows, and program manager to execute studies.
3. Conduct research study activities like participant recruitment, data collection, data analysis and data management
4. Maintain the highest standard of professional conduct and record keeping in accordance with institutional policies, ethics requirements and local regulations.
5. Assist in performing literature searches and producing reviews of the literature to support the delivery of research projects.

Main Duties and Responsibilities

1. Assist with routine preliminary analyses; maintain research data, write summary reports, and report findings to investigator.
2. Provide research updates to study team on regular basis.
3. Assist with any other duties of a similar nature that are delegated by the PI
4. Maintain confidentiality on participants’ data.

This list should not be regarded as exhaustive, and the postholder will be expected to deliver other duties relevant and appropriate to this post.

Qualifications

1. Qualification: Degree in Life Science, Nursing, Psychology or relevant health-related fields
2. Experience or interest in conducting research studies with seniors.
3. Able to work independently and meticulously.
4. Good written and communication skills.
5. Bilingual - Besides English, a good command of Mandarin is preferred as many of our elderly participants speak only Mandarin. Other common Chinese dialects will be an added advantage.
6. Possess strong interpersonal skills.
7. Flexibility to work on weekends (if needed. i.e for outreach events).
8. Team player.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia at kwh.yap@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant (MACC) – SINGER Study Operation in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

More information on the department is available at www.macc.sg

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting a large-scale lifestyle intervention study according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

Research patient/Subjects Management

1. Gate keeping of the recruitment progress. Assist investigators in the screening and recruitment of potential patients/healthy volunteers as according to trial protocol.
2. Assist investigators in obtaining informed consent
3. Maintain and update screening log & enrolment logs
4. Schedule appointments for patients/subjects
5. Perform delegated procedures as required according to trial/study protocol
6. Ensure patients’/subjects’ compliance to trial medication / intervention
7. Label and dispatch specimens to the relevant laboratory as per condition specified in the trial protocol

Research Patient/Subjects Management

1. Label and store specimens in the condition as specified in the trial protocol
2. Trace laboratory and diagnostic reports (if any)
3. Assist the investigator(s) in adverse events / serious adverse events reporting
4. Perform high quality data collection through data collection forms or tools; Handle data entry and validation of study data
5. Maintain confidentiality on subjects and study data

Clinical Trial Administration

a) Plan, organise and co-ordinate routine trial study activities workflow (i.e setting up recruitment strategies and material & etc)

b) Provide effective updates to the stakeholder on the work done

c) Liaise with the relevant departments for logistic and finances related matters

d) Document and tabulate financial payments received and / or made to support the study

e) Up keeping study materials including procurement and inventory tracking.

f) Maintain Investigator Site File, tracking logs and ensure that all study documents are complete and up to date

g) Attend trial-related initiation, close-up and other trial related meetings

Secondary Responsibilities and Duties (20%)

2.1 Perform administrative duties and ad-hoc project as assigned by the Director/Manager

Qualifications

Degree in life sciences, nursing, or equivalent; candidate with medicine background will be of advantage.

3.2 Able to work independently and meticulously

3.3 Good written and communication skills. Besides English, well-verse in Mandarin is a must as our study subjects are elderlies and a big portion of them can only speak Mandarin. Other common Chinese dialects will be an added advantage.

3.4 Possess strong interpersonal skills

3.5 Flexibility to work on weekends (if needed. i.e for outreach event)

3.6 Team player

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia at kwh.yap@nus.edu.sg

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Other Responsibilities and Duties

Job Description

The National University of Singapore invites applications for Research Assistant role funded by Centre Grant Programme “MOlecular Markers, MEchaNisms and their TherapeUtic Manipulation in CardioVascular Disease (MOMMENTUM-CVD)”> in Yong Loo Lin School of Medicine, Department of Medicine. Research will be pursued across the translational spectrum from molecule to man in the basic and applied (clinical) sciences to provide improved risk stratification, treatment selection and monitoring of response to therapy in CardioVascular Disease (CVD). Key to our research agenda is expanded interrogation of finely annotated cardiovascular clinical cohorts and biobanks acquired in the course of predecessor CGs together with prospective initiatives sparked from these background data sets.

Of the eight themes in MOMMENTUM-CVD, Research Assistant would be assisting with Theme 7: Health Services research and implementation of enhanced post-myocardial infarction management, and Theme 8: Cardioinformatics – analysis of complex data sets, implementing Machine Learning and/or Artificial Intelligence and publishing in scientific journals.

Appointments will be made on a yearly contract basis with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the research deliverables on time. The RA’s principal role is to apply Machine Learning and/or Artificial Intelligence such as pattern recognition, predictive modeling, classification/clustering etc, onto cardiology datasets (clinical & wet lab) and publish findings in NUS whitelisted scientific journals.

Main duties and responsibilities

The Research Assistant will liaise with clinical and basic scientists in MOMMENTUM-CVD to come up with Machine Learning and or Artificial Intelligence methodologies onto cardiology datasets clinical & wet lab and publish findings in NUS whitelisted scientific journals.

Main Responsibilities and Duties

• Perform literature academic review on topics relating to machine learning, artificial intelligence, clinical and basic science data, relevant to existing projects in MOMMENTUM-CVD grant.
• Collect, clean, review and manage datasets from research teams.
• Working with research teams to design, develop machine learning AI algorithm models to meet research aims deliverables for each research projects.
• Experiment, implement, simulation and analysis of these models involving appropriate and relevant metrics.
• To train, refine, evaluate and cross validate these models to ensure accuracy, precision and integrity of analysis.

Other Responsibilities and Duties

• To communicate and collaborate with other research entities and present findings to overseas/local conferences.
• Any other duties relevant to research not mentioned above that are assigned by PI.

Qualifications

1. Bachelor degree in any science technology field.
2. Competent in at least 3 or programming languages such as R, Python, SQL, STAT, MatLAB. (competent in all would be advantageous)
3. Competent in data visualization tools such as Tableau and matplotlib.
4. Previous experiences managing and worked on research datasets in public hospitals or any other healthcare systems would be very advantageous.
5. Able to work independently and in a team, have an investigative and collaborative nature with excellent interpersonal communication skills.
6. Excellent analytical and problem solving skills.
7. Good organization skills with ability to multi-task in fast-pace and dynamic environment.

...

More Information

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Teo Zhen Long, at zlteo@nus.edu.sg / zhen_long_teo@nuhs.edu.sg

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Mark Breese on Intelligent computer vision algorithms under a project on “Development of Cone Prism Camera Technology”.

We seek a talented AI engineer specializing in harnessing the power of neuro-linguistic programming (NLP). We seek an individual with a proven track record in leveraging AI to forecast future requirements and drive R&D endeavors.

The main responsibilities of the position include:

- Develop and implement computer vision algorithms and models to analyze and interpret visual data.

- Build and optimize AI software solutions capable of processing large volumes of image & video data efficiently. AI platform may be provided.

- Utilize programming languages such as Python, C++, and libraries like OpenCV to develop robust computer vision applications if needed.

- Evaluate the performance of computer vision models through statistical analysis and testing to ensure accuracy and reliability.

- Provide insights and recommendations based on the analysis of visual data to support strategic decision-making.

- Collaborate closely with a team of machine learning engineers, data scientists, and software developers to integrate computer vision solutions into existing systems or develop new applications.

- Stay updated on latest advancements and trends in computer vision technology, emerging algorithms, techniques, and best practices.

- Communicate progress, findings, and challenges effectively to team.

Qualifications

1) Qualifications / Discipline:

• Bachelor’s or Master’s degree in computer science or related field.

• 2-5 years experience as an AI engineer or similar role

2) Skills:

• Willingness to learn and continue developing knowledge in an up-and-coming field.

• Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.

• Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.

3) Experience:

• Deep understanding of data science, linear algebra, algorithms, and statistics. (required)

• In-depth knowledge of computer programming languages, such as Python, JavaScript, and C++. (preferred)

• Experience with ML, deep learning, TensorFlow, NLP (required)

• Experience with cloud environment computing (preferred)

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Asia Research Institute (ARI)

The Asia Research Institute (ARI) was established as a University-level institute in July 2001 as one of the strategic initiatives of the National University of Singapore (NUS). Our mission is to provide a world-class focus and resource for research on the Asian region, located at one of its communication hubs. ARI research engages important challenges facing the region and wider worlds, ranging from migration and child health, to ageing and care ethics, to the governance of transboundary haze.

We are looking for suitable candidates to fill the position of Institute Research Assistant/Associate (Communications and Content Management), to disseminate the work of our researchers.

Job Description

The position will involve developing and executing the Institute’s communication strategy, especially through the creation, operation and maintenance of online and social media platforms. You will work closely with ARI staff to highlight and communicate the Institute’s work and to oversee digital initiatives to make our research findings accessible to the wider public in Singapore and internationally. In addition, you will be responsible for rewriting content for different audiences such as through Twitter, Facebook, conference reports and researcher profiles. The role will also involve journal co-ordination work.

Job Requirements

• The applicant should possess a Masters, Honours degree or equivalent in the Social Sciences or Humanities or Media and Communications.
• Excellent verbal communication and writing skills (English Language).
• Ability to edit and write proficiently for an academic and general audience.
• Experience in official content management for social media platforms/tools (e.g. X, Facebook, Instagram and Wordpress), website and database content creation and management.
• Be creative, intellectually curious and proactive.
• General interest in current affairs and issues related to Asia.

Application Procedure

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 500 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Only shortlisted applicants will be notified. Shortlisted applicants may be called for an interview.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Key Responsibilities
Assist Principal Investigator (PI) in data preparation, analysis, and miscellaneous research support.

- **Research Support**
- Assist in crafting research direction for multiple projects
- Prepare findings for dissemination across multiple formats, including PowerPoint/PDF presentations, papers

- **Data Preparation and Analysis**
- Prepare data for analysis; understand the context of the research to organize and process complex datasets effectively
- Code up analyses proposed by PI
- Generate replication packages for analyses.

- **Collaboration**
- Work collaboratively with other researchers and team members involved in the research project, contributing to a cohesive and productive research environment.

Qualifications

**Minimum Education Qualification: A Bachelor's degree (or equivalent experience) in Economics, Computer Science, Mathematics, or related areas.

- Proficiency in a general-purpose coding language (Stata and Python preferred)
- Experience in web scraping, machine learning, and numerical optimisation
- Able to communicate effectively and build rapport with individuals from different backgrounds
- Able to work independently but also as a team
- Excellent work planning and time management skills
- Excellent problem-solving skills
- Able to multi-task and work under pressure in a changing environment

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

This project will focus on multi-agent exploration and navigation in unknown areas, where multiple autonomous robots (agents) are tasked with spreading over a given region to be explored, or to reach a given position and discover the world to do so as rapidly as possible. Throughout this work, we will assume that robots can communicate their observations (e.g., partial map of the environment) during search, via local or global communications, so they can update their representation of the domain online. These tasks will be approach using large language models (LLMs), both to improve performance and to provide an interesting level of explainability.

Qualifications

• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.)

• Literature review/summarizing skills

• Simulations abilities (e.g., AirSIM, ROS Gazebo)

• Experience with implementation of deep learning model on hardware (e.g., ground/aerial robots)

• Experience publishing papers, and supervising undergraduate/master’s students

• Good writing/spoken communication skills

CNRS@CREATE is looking for a Research Assistant – Human Geography/Urban Studies to join our SPACE project team.

SPACE PROJECT

The SPACE project is developing a research protocol for infectious disease prediction and prevention in Singapore. The project draws upon analyses of the risk factors and sociospatial patterns that drive dengue and COVID-19 transmission in Singapore, as well as the social and technical skills developed by individuals and community groups in response to disease propagation. Combining insight from the social sciences (geography, architecture and urban design, communication, economics, sociology, public policy) with biology (epidemiology, entomology) and computer science (artificial intelligence, biostatistics), the project will use the concept of “adaptive capacity” (AC) to explore the potential of community-based “latent social capital” (i.e. human, cultural, political, and social) as key assets for adaptive responses to health challenges related to dengue in its interplay with COVID-19.

The project brings together 23 researchers, 10 from France and 13 from five Singaporean universities (NTU, NUS, SUTD, SMU and SUSS). The research will be conducted in Singapore.

DESCRIPTION

We are seeking a Research Assistant to join the SPACE project on “Shaping Public Adaptive Capacity for Environmental Infectious Diseases”. The successful applicant will be working on the impact of digital technologies and artificial intelligence (AI) on public health within the realms of social sciences and urban studies.

The SPACE project brings together researchers from France and from five Singaporean universities (NTU, NUS, SUTD, SMU and SUSS). The research will be conducted in Singapore.

Job tasks:

• Literature search and review
• Secondary data collection, data analysis, including content analysis, thematic coding, and statistical analysis
• Contribution to qualitative field research (conduct face-to-face interviews), transcription and coding of interviews
• Regular update on the latest scientific and technological developments in AI, digital technologies, and their applications in public health
• Writing and preparation of research reports
• Assist in the preparation of presentations, posters, and visual aids for dissemination of research findings at seminars, conferences, and workshops.
• Assist with all other research-related tasks as determined by the PI

EXPERIENCE & QUALIFICATIONS

• Bachelor’s (and preferably Master’s) degree in social sciences, urban studies, public health, or a related field.
• Experience in literature review, data collection, and analysis.
• Proficiency in qualitative research methodologies, including conducting interviews and qualitative data analysis.
• Excellent command of both spoken and written English
• Proficiency in one other Singapore’s official languages would be an asset.
• Demonstrated ability to work collaboratively in a team environment and meet project deadlines.
• Prior experience in research project management and familiarity with ethical considerations in research is a plus.

FURTHER INFORMATION & CONTACT

Salary range: 5000 to 7000 SGD (depending on suitability and experience).

Duration: 8-10 months.

The applicant should be based in and have the right to work in Singapore. He/she will benefit from close collaboration with other team members from the SPACE project.

The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Workplace Address: CREATE Tower (NUS Campus), 1 Create Way #08-01 Singapore 138602

Application Instructions:

Please submit a cover letter, curriculum vitae (CV), and academic transcripts to: elisabeth.peyroux@cnrs.fr.

We will begin reviewing applications for the positions immediately. Expected start date of the contract is May 2024 or as soon as possible thereafter for a period of 8-10 months. Only shortlisted candidates will be notified

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Contribution to the experimental study of soft robotic arms inspired to muscular hydrostats. The experimental study includes design and fabrication of experimental set-ups, experimental trials, data collection and discussion.

Qualifications

Engineering degree, skills in design and prototyping, basic knowledge of data collection and analysis.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistants will be members of the Asia Competitiveness Institute (ACI) research team, working under ACI Director, Professor Paul Cheung, to work on a number of research projects related to Indonesia. The candidates should have experience in policy analysis and are familiar with socioeconomic development of Indonesia.

Qualifications

• Bachelor/Masters degree in Economics, Social Sciences, or equivalent.
• Familiar with socioeconomic development of Indonesia.
• Familiar with working on the large economic datasets for statistical analysis.
• Demonstrate good organizational and analytical skills.
• Excellent verbal and written English.
• Able to multitask and manage tight timelines.
• Able to work in a team as well as independently. Must be highly self-motivated.
• Able to commit to at least 1 year of service.
• Those with no experience are welcome to apply.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The candidate will be participating in the following:

• The development and design of a quantum processor using neutral atoms array.
• The designing of the vacuum system, characterisation of the laser system, implementation of the optical systems, and interfacing of the experimental setup.

They will be working under the supervision of a research fellow and will report on the progresses to the Lead-PI of the project at least on a weekly basis.

Job Requirements

• A Bachelor degree in Physics;
• A successful experience in atomic physics or related fields

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

• Participate in the development and testing of LC3-based concrete.
• Conduct material characterization tests and assess the bond interaction with reinforcements.
• Collaborate with team members to ensure project milestones are met.
• Document findings and prepare reports for further analysis.

Job Requirements

• Bachelor’s or Master’s degree in Material Science, Civil Engineering, Construction Management or related fields.
• Experience in concrete materials research is desirable.
• Strong analytical skills and proficiency in using laboratory equipment.
• Ability to work independently and as part of a multi-disciplinary team.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

1. To optimise and perform experiments under the guidance of the Principal Investigator to study the pathogenesis of cardiovascular diseases.
2. To collect, record and analyse experimental data.
3. To assist with the preparation and completion of risk assessments.
4. To order and take stock of research reagents and materials.
5. To participate in general laboratory activities to ensure the efficient functioning of the lab.

Qualifications

Essential qualifications, knowledge and experience

1. Bachelor or Master’s degree in a biomedical sciences, biological sciences or a related, relevant subject.
2. Skills of cell and molecular biology techniques.

Desirable knowledge and experience

1. Experience in cardiovascular research.
2. Experience in single-cell sequencing.
3. Experience in immunohistochemistry.
4. Evidence of research productivity (e.g. research publications).

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator Chang Yi-Jun and lab members on distributed graph algorithms. He/she should possess experience or interest in algorithms and CS theory research.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

Conservation and restoration of carbon-rich Southeast Asian forests are of tremendous ecological and economical importance to ASEAN countries in the combat of climate change. Yet exact spatial distribution, health status and carbon stock of these forests remain poorly known. While a great many conventional satellite data sets have been used to estimate forest carbon stocks, most are not yet accurate enough to ensure the credibility and integrity of the marketplace for nature-based climate solutions. This 3-yr project funded by Singapore’s Academic Research Council, Ministry of Education (MOE) aims to improve the measurement forest structure and aboveground biomass by linking these remote sensing observations to ground measurements of representative ecosystems in Southeast Asia.

Invitation to apply

The Department of Geography at the National University of Singapore invites applications for a position as research assistant in a project on remote sensing of tropical forests. Prior field experience in tropical ecosystems is a must. The position is expected to begin in Jun 2024 and will be for a period of 12 months.

The Role

• You will be part of a research team that studies forest structure and carbon dynamics in different forest ecosystems in Singapore.
• In coordination with the other members of the project team (researchers and students), you will help collecting field data, with both tree survey and terrestrial laser scanner.
• Your will spend a large proportion of your time on field work.
• Support project administration and management, including but not limited to, purchase of equipment and consumables, and preparation of SOPs, RA or other related documents.

Qualifications

Required skills and experience

• A bachelor’s degree in environmental sciences, ecology, geography.
• Experience with field work and associated lab work, preferably in both coastal and forested ecosystems.
• Highly organized and proactive, and with the ability to work independently.
• Willingness to undertake extensive field work. On a regular basis, field work might require you to stay and work for several-day periods on Pulau Ubin.

Desirable skills

• Experience with using GIS software (e.g., QGIS or ArcGIS).
• Experience with remote sensing data collection and/or processing. Experience with drone operation is highly preferred.
• Experience with managing and processing data with programming languages (e.g., R, Python).

Terms of Appointment and Application

1. The appointment will be tenable for a maximum period of 12 months.

2. The position comes with very competitive remuneration.

3. Singapore citizens and permanent residents are eligible for provident fund benefits.

Interested applicants are invited to apply online through the NUS Career Portal with the following documents i) a letter of interest, ii) a Curriculum Vitae and iii) the contact details for two references.

If you have any queries, kindly contact Asst. Prof. Hao TANG via email: hao.tang@nus.edu.sg.