Total 233 Junior Executive level Science / R&D / Research job vacancies in Overseas

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-AIDF/33495-en_GB/?st=4993B7046BEEBA984DA71E08B1EF737E0DBC9DA2

We regret that only shortlisted candidates will be notified.

Role Overview

We are looking for a motivated Research Assistant to support AIDF’s digital marketing, and programme outreach activities.

Key Responsibilities

Digital Marketing and Campaign Support

• Support the planning and execution of digital marketing campaigns across multiple platforms, including social media, email, website, and digital advertising channels.
• Assist in creating, scheduling, and publishing content for LinkedIn, website updates, newsletters, and other digital channels.
• Support campaign tracking, performance reporting, and basic analytics to evaluate campaign effectiveness.
• Coordinate with internal teams, faculty, partners, vendors, and designers to prepare marketing materials and campaign assets.
• Help maintain a consistent brand voice and professional image across AIDF’s digital channels.

Social Media and Content Support

• Manage day-to-day social media content posting and engagement, particularly on LinkedIn and other relevant platforms.
• Draft and refine social media posts, event highlights, programme announcements, and partner engagement content.
• Support content collection from events, programmes, faculty, students, alumni, and industry partners.
• Assist in developing simple visual assets, captions, short write-ups, and promotional materials.
• Support regular website updates, including programme information, event pages, news articles, faculty profiles, partner updates, and other content.
• Ensure website content is accurate, current, and aligned with AIDF’s branding and communication standards.

Academic and Programme Operations Support

• Provide administrative and operational support for academic programmes, workshops, seminars, and events when required.
• Assist with programme marketing, participant communications, registration tracking, logistics coordination, and post-event follow-up.
• Support the preparation of programme materials, reports, attendance records, feedback forms, and certificates where applicable.

Qualifications

• Degree in Marketing, Communications, Business, Media, or a related discipline.
• 1 to 2 years of relevant experience in digital marketing, social media marketing, content coordination, or communications.
• Good writing skills and the ability to draft clear, professional, and engaging content.
• Familiarity with social media platforms, especially LinkedIn.
• Basic experience with website content management systems would be an advantage.
• Basic understanding of email marketing, digital campaigns, or campaign analytics would be useful.
• Comfortable handling multiple tasks across marketing, communications, and programme support.
• Detail-oriented, organized, and able to follow through on operational tasks.
• Good interpersonal skills and the ability to work with faculty, colleagues, students, vendors, and external partners.
• Interest in fintech, AI, digital finance, or higher education would be an advantage.

Preferred Skills

Experience using tools such as Canva, LinkedIn, Mailchimp, WordPress, Google Analytics, or similar platforms.

Ability to support simple design work, content formatting, and digital asset preparation.

Prior experience in an education, research, technology, fintech, or professional services environment would be helpful.

Comfortable supporting events, workshops, and academic programme logistics.

Job Scope:

• Support the curatorial team’s research on Singapore’s post-independence history for special galleries. This includes:
• Research on existing and new artefacts and documents
• Background research and preparation for the conduct of oral history interviews and the management of the video interviews and production

• Conduct archival research on relevant images and audio-visual material

• Seek permissions and copyright clearances for material curated for use in exhibitions, including for multimedia, publications as well as education and public programmes

• Manage content and asset delivery for exhibition design, fabrication and translations

• Provide administrative and operational support for the abovementioned curatorial projects
  

Requirements:

• Recognised degree/diploma in History or the Humanities or other disciplines relevant to Singapore’s post-independence history and nation building policies. Diploma holders with relevant work experience will also be considered

• Proven excellence in research, analytical, writing and presentation skills

• Ability to think creatively and imaginatively, with strengths in synthesizing information from different sources and storytelling

• Background in video production will be a strong advantage

• Strong administrative and project management skills

• Team player with excellent interpersonal and stakeholder management skills

Contract Duration: 1 Year

Working Hours: Mondays to Fridays (office hours)

Location: Beach Road

Salary: Up to $4000 per month

EA License No.: 96C4864
Reg. No.: R26161270 JOEY TAY YI TING

Job Scope:

• Assist in maintaining 2 of the science labs
• Responsible for setup, clean up and general maintenace of science lab/classroom
• In charge of department stock taking and inventory management.
• Preparing apparutus and assist the science teacher in the science lab
• Assist in student management/ classroom management if required

Requirements:

• At least ‘N/O' levels qualification
• Relevant work experience as a teacher's aide/science lab assistant in school setting
• Familiar with MS Office (Powerpoint, Excel etc)
• Possesses good communication skills to liaise with teachers, students, and other stakeholders

Working Hours: Mon to Fri: 7am to 4pm (45 mins unpaid lunch break)

Contract Period: 5 months

Salary: $2100-$2170/month

Location: Hougang

EA License No.: 96C4864

Reg No.: R26159658 BRANN LEONG CHUN HOE

The Cognitive and Brain Health Laboratory is a lab housed in Psychology, School of Social Sciences, Nanyang Technological University, Singapore. Our research makes use of multimodal neuroimaging to broadly study cognitive and brain health. For more details, please check out our webpage at https://cogbrainhealthlab.github.io/

We are seeking a Research Assistant to join a newly funded neuroimaging research project that aims to reverse brain ageing.

Key Responsibilities:

• Assist in recruitment of participants

• Administer neurocognitive tests and questionnaires to participants

• Assist with the preparation of manuscripts for publications

• Handle project related documentation and associated administrative tasks

• Perform other tasks as required by the Principal Investigator

Job Requirements:

• Good Honours Degree in Psychology from a recognised institution.

• Strong interpersonal, written and verbal communication skills

• Excellent organizational skills and able to work within given deadlines

• Candidates must be willing to commit for at least 1 year

Preferred requirements:

• Prior experience with neurocognitive assessments

• Prior experience working with the elderly in Singapore

• Proficiency in Mandarin (working mainly with Mandarin speakers) - essential for data analysis and communication with stakeholders

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Designing-for-Relational-Safety-in-Children's-Online-Peer-Interactions%29%2C-DID/33492-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are hiring a Research Assistant to contribute to a project focused on Designing for Relational Safety in Children's Online Peer Interactions. The project aims to understand, design, and evaluate sociotechnical supports that help tweens navigate the complexities of online peer interactions. A core concern is how children can protect themselves while preserving their relationships. Within this overarching theme, we offer intellectual flexibility in defining specific research inquiries and design directions based on the researcher's expertise and interests.

The successful candidate will contribute across the research trajectory, from qualitative grounding (e.g., conducting interviews with stakeholders such as teachers and parents, and running co-design sessions with children) to translating these insights into tween-centered interactive prototypes. The researcher is expected to disseminate findings through high-impact publications in top-tier HCI venues.

Qualifications

Minimum Qualifications:
•    A BS or MS in HCI, Design, Information Science, Computer Science (Human-centered), or a closely related field.
•    Research experience in HCI, preferably with exposure to academic publication or conference venues (e.g., CHI, CSCW, ASSETS or DIS).
•    Proficiency in qualitative and/or mixed-methods research, including experience in co-design ethnographic studies, etc.
 
Preferred Qualifications:
•    Experience working with children as study participants.
•    Experience in system prototyping, with the ability to translate conceptual design requirements into functional artifacts.
•    Technical expertise in integrating AI/ML features into user-facing systems.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Spatial-Computing-Developer%29%2C-Division-of-Industrial-Design/33484-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The research assistant will design and develop software applications and content for the Apple Vision Pro in close collaboration with both the principal investigator along with clinical collaborators for deployment as real-world healthcare applications.

Qualifications

Master’s degree in Design or Computer Science

Job Description

1) Supporting school teachers in the following:

• Prepare and set up apparatus and resources for Science practical lessons.

• Be present during practical lessons and support teacher during lab demonstration or group work. Facilitate activities in the small groups.

• Monitor resources and make appropriate recommendations for lessons. Try out resources and share with the teachers or Science Subject Representatives on the usage.

• Record items that need to be purchased during preparation so that budget can be tapped on and used effectively.

• Carry out stock take of apparatus/materials and disposal of redundant items. Inform teacher-in-charge for replenishment of needed apparatus/materials.

• Spruce up the look and feel of Science rooms Eg: display of charts and students work

• Support the Math and Science Departments in after school lessons for students during Olympiad and E2K programme.

• Preparation of teaching and learning resources e.g: cutting of resources, lamination, signage for Science garden, sorting of butterfly kits( by class), seed kits (by class)

• Accompany students for learning journey

• School Garden Maintenance eg: watering of plants, composting, hydroponics

• Cleaning and Maintenance of Science Rooms

2) To support any work requirements beyond the stipulated work hours where necessary. Such requirements will be communicated and agreed upon beforehand with personnel and charged against the total contracted hours.

3) To perform any other duties as and when assigned by the school.

Key Highlights:

• Office Hours: Monday-Friday
• Nearest MRT: Buona Vista MRT Station
• Be a part of a longitudinal research study on child and youth resilience in out-of-home care, supporting research activities.

Key Responsibilities:

• Support content review processes by checking accuracy, consistency, and completeness across research materials and outputs
• Assist in proofreading, copyediting, and formatting of research manuscripts and reports
• Coordinate review workflows involving internal teams and external collaborators to ensure timely feedback and approval cycles
• Support preparation and collation of materials for dissemination activities, presentations, and stakeholder engagements
• Perform administrative support tasks including drafting emails, scheduling meetings, and documenting meeting minutes
• Maintain proper documentation of research workflows, data handling processes, and project outputs to ensure transparency and traceability
• Assist the team with general coordination and operational support for ongoing research projects

Key Requirements:

• Background in social sciences such as psychology, sociology, economics, media/communication, or related fields
• Prior experience in research support roles is advantageous
• Familiarity with qualitative and/or quantitative research methods is preferred
• Understanding of social science research methodologies and basic statistical reporting is an advantage
• Strong writing, editing, and proofreading skills with attention to detail
• Proficiency in data handling tools such as Excel; knowledge of SPSS, R, Python
• Strong organisational skills with the ability to manage multiple tasks and deadlines
• Effective communication skills and ability to work collaboratively in a multidisciplinary team
• Meticulous, detail-oriented, and committed to producing accurate and high-quality work

Only shortlisted candidates are notified. Thank you.

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BGC Group Pte Ltd (Outsourcing Department)

EA 05C3053

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Mathematics and Mathematics Education Department.

Project Title: Gen AI in teaching undergraduate mathematics: An exploratory study

Project Introduction: This project involves an exploration of Gen AI in teaching and learning of undergraduate mathematics, focusing on NIE students on the study of Calculus. Lessons will be designed with the infusion of Gen AI for both teaching and learning.

Requirements:

• Bachelor’s Degree in Science, Arts and Social Science, or a related field.

• Ability to work under the instruction of the Principal Investigator in the development of Gen AI related instructional material.

• Willingness to work with students in a learning and research environment.

• Ability to assist the Principal Investigator in collecting and analyzing data arising from this study.

Responsibilities:

• Conduct literature review on Gen AI for mathematics instruction.

• Design Gen AI-related instructional material for Calculus under the supervision of the Principal Investigator.

• Design research instrument under the supervision of the Principal Investigator.

• Collecting data and analysing data related to this project.

• Assist the Principal Investigator in drafting documents related to this project.

• Any other administrative duties as assigned by Principal Investigator.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition: R00024976

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Mathematics-and-Mathematics-Education-Department---NIE-_R00024976)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

The Nguyen Lab (Principal Investigator: Thanh Ricky Nguyen) within the Cancer Discovery and Regenerative Medicine Program is a collaborative and innovative research group focused on uncovering how cells maintain internal quality control and how these processes break down in disease. Our research centers on the molecular mechanisms of autophagy and mitophagy, particularly in the context of aging, neurodegeneration, and cancer. We combine approaches in biochemistry, molecular biology, and cell biology with emerging experimental systems, such as advanced 3D cultures and in vivo models, as we build a versatile and evolving research platform to study disease-relevant biology.

For more details, please see Assistant Professor Nguyen’s profile and within the Cancer Discovery and Regenerative Medicine Program

We are looking for a motivated Research Assistant/Associate to join our collaborative research environment and support ongoing projects investigating autophagy and mitophagy in disease. The role involves performing experiments, analyzing data, and contributing to the development of new experimental approaches and model systems as the lab continues to grow.

Key Responsibilities:

• Maintain and develop cellular models, including mammalian cell culture and advanced systems such as stem cell–derived models and organoids

• Independently perform and analyze a wide range of molecular and cellular biology experiments, such as DNA cloning, western blotting, co-immunoprecipitation, gene perturbation approaches (e.g., CRISPR-based methods and viral systems), and related biochemical assays

• Conduct imaging-based experiments, including immunofluorescence and confocal microscopy

• Contribute to the development and validation of cellular models for studying autophagy, mitophagy, and cellular stress pathways

• Work closely with the Principal Investigator and lab members, including PhD students, to implement research plans and optimize experimental protocols

• Assist with laboratory operations and regulatory compliance, including contributing to the development of risk assessments (RAs), standard operating procedures (SOPs), and maintaining an organized lab environment

Required educational qualification, experience, skills and competencies (to delete / replace in following grey highlight, where applicable):

• Bachelor degree (for Assistant) or Master degree (for Associate) in Cell Biology, Molecular Biology, Biochemistry, or a related discipline

• Minimum of 1 year of hands-on laboratory experience in mammalian tissue culture, particularly adherent cell lines (e.g., HEK, HeLa, or similar systems)

• Experience with molecular and cellular biology techniques (e.g., DNA cloning, western blotting, or related assays)

• Experience with stem cell culture and/or organoid systems is strongly preferred; candidates with such experience will be prioritized

• Good written and oral communication skills, with the ability to document and present experimental findings clearly

• Demonstrated ability to plan and execute experiments with appropriate supervision, with strong problem-solving skills and attention to detail

• Excellent interpersonal skills, including the ability to work both independently and collaboratively in a research environment, with strong organizational and time management skills

• Entry-level candidates with relevant hands-on experience are welcome to apply

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary:

We are seeking a highly motivated researcher with a strong background in food science to join our dynamic R&D team. The successful candidate will work on innovative research projects in the specialty fats domain, focusing on factors that influence product stability, texture, and functionality. This role will involve designing, optimizing, and enhancing fat-based formulations for a variety of food applications.

Key Responsibilities:

1. Research & product development

• Investigate factors affecting emulsion stability and product texture in fat-based food systems.
• Study the physical and chemical interactions between fats and other components (e.g., proteins, emulsifiers, stabilizers) to improve product performance.
• Collaborate with cross-functional teams to translate research findings into innovative techniques and products.

2. Documentation & Reporting:

• Analyze research data, generate detailed reports, and communicate results effectively to supervisor.

3. Additional Duties:

• Support broader R&D objectives by undertaking additional responsibilities as required.

Required Qualifications:

• Degree in Food Science, chemistry or a closely related field.
• Knowledge of fats, proteins and emulsions, with research experience in food systems.
• Strong problem-solving skills, creativity, and a collaborative team-oriented mindset.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Relative-smooth-optimization-theory%29/33396-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

In recent decades, we have witnessed significant progresses in the convergence and complexity theory of the first-order optimization methods, with gradient global Lipschitz continuity (GGLC) assumption playing a central role, in many classical results. However, a large class of important problems arising in modern optimization and machine learning do not satisfy this assumption. As a result, there remains a substantial gap between the theory and practical behavior of many widely used algorithms.

This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth optimization, an emerging framework developed to go beyond the classical GGLC setting. In particular, the project will study first-order methods under relative smoothness, with a focus on nonconvex problems, more appropriate optimality measures, and new non-Euclidean Lipschitz tools that better capture the underlying problem geometry. The goal is to establish sharper convergence and complexity results, clarify several widely adopted but potentially misleading arguments in the current literature, and develop a more reliable and powerful new analysis framework for the relative smooth problem class.

Job Requirements

Interested applicants are required to possess a BSc. in 2026. He/she should have a good understanding in

1.    convergence and complexity analysis for (nonconvex) optimization algorithms  
2.    stochastic process and stochastic approximation methods

In particular, as this is a research assistant position for only 1 year. The applicant should be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.

As we plan to apply our methodologies to the training and tuning of language models, it will be an advantage if the applicant has related experience. 

Are you passionate about laboratory operations and scientific processes? Join a dynamic healthcare and life sciences environment where you can contribute to accurate testing, sample processing, and meaningful laboratory activities.

Responsibilities:

• Perform laboratory tests and support pre- and post-analytical processes to ensure accurate and reliable results
• Prepare, label, handle, and process specimens and samples according to established procedures
• Operate and maintain laboratory equipment such as centrifuges, pipettes, pH meters, and other analytical instruments
• Record, document, and manage test results and laboratory data accurately
• Follow laboratory protocols, safety guidelines, and quality standards
• Maintain a clean, organised, and well-stocked laboratory workspace
• Support daily laboratory operations and administrative tasks where required
• Rotate across various laboratory departments, including Microbiology, Hematology, Blood Banking, Immunology, Clinical Chemistry, Molecular Biology, and Cytotechnology

Requirements:

• Minimum Diploma in Clinical Laboratory Technology, Biotechnology, Biomedical Science, or related disciplines
• Strong attention to detail with good numerical and data handling skills
• Good communication and interpersonal skills
• Proficient in Microsoft Office applications
• Able to work independently while following established procedure

Interested candidates are welcome to send your updated resume to healthcaretemps@recruitexpress.com.sg
(Attn: Lab Assistant)

Thank You.

Leon Leong De Cong
R1551708
Recruit Express Pte Ltd
EA License No. 99C4599

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28HCI%2C-Human-AI-Collaboration%29/33423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Augmented Human Lab, at the Smart Systems Institute, National University of Singapore is seeking a highly motivated Research Assistant to work on the co-design and development of human–robot collaboration interfaces for high-risk operational scenarios such as chemical spill response and urban search-and-rescue.

The Research Assistant will work on designing, prototyping, and evaluating interactive systems that integrate explainable on-device AI and small language models (SLMs) to support human operators in making faster, safer, and more confident decisions. You will collaborate with a multidisciplinary team of researchers, especially research fellows and industry partners.

This role is ideal for candidates interested in applied HCI research, rapid prototyping, user-centered design, and translational AI systems progressing from early-stage concepts toward system-level demonstrations

Major responsibilities:

• Support requirements gathering with domain experts and industry collaborators, including field observations, interviews, and task analysis.
• Assist in the design of interfaces that promote shared mental models, transparency, and explainability in human–robot collaboration.
• Develop UI prototypes and interaction concepts through iterative user-centered design cycles with end-users.
• Run benchmarking experiments and user studies with human operators, including experimental setup, data collection, and post-trial analysis.
• Contribute to dissemination activities, including conference papers, posters, demos, and documentation.
• Participate actively in lab meetings, project reviews, and collaborative workshops with academic and industrial partners.

Experience and Skills

• Bachelor’s or Master’s degree from a reputable university in Computer Science, Engineering, HCI, or a related field.
• Strong programming experience in at least one of: Python, C/C++, Java, Swift.
• Familiarity with UI prototyping frameworks or mobile/interactive systems development.
• Experience working with experimental systems, data collection pipelines, and basic statistical analysis.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Excellent written and verbal communication skills.

• Following skills will be an added advantage Experience with human-centered design, usability testing, or interaction design for complex systems. Exposure to machine learning pipelines, deployment on edge devices, or embedded platforms. Familiarity with development environments and platforms such as VS Code, PyCharm, Xcode, Android Studio, or ADB tools. Experience with hardware prototyping platforms such as Arduino, Raspberry Pi, ESP32, or similar microcontrollers. Knowledge of virtualization or containerization tools (e.g., Docker, VirtualBox, VMware).Experience with cloud or backend services such as AWS, Firebase, or similar platforms. Prior involvement in research projects progressing toward real-world deployment or technology translation.

Why join us

NUS is a world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked within the top 10 in the world. The Augmented Human Lab is an excellent environment with a diverse team (www.ahlab.org/people) which will accelerate your research career.

The initial term of appointment will be 1-year and renewable based on performance. The selected candidate will be offered competitive salaries and benefits.

How to Apply: Email CV and a short statement of interest to the NUS Career Portal.

We are seeking a highly motivated Research Engineer to join the NTU-Hyundai Motor Group Innovation Center Singapore (HMGICS) Corporate Lab. The successful candidate will lead the development and integration of advanced optical sensing and machine vision systems for Body-in-White (BIW) surface inspection in automotive manufacturing.

Key Responsibilities

• Design, develop and integrate optical sensing and machine vision systems for surface defect inspection.

• Support the setup, calibration and validation of imaging and measurement platforms.

• Conduct experiments, analyse system performance and recommend technical improvements.

• Collaborate with researchers, industry partners and vendors on system development and implementation.

• Develop testing protocols, maintain technical documentation, and prepare project reports and presentations.

• Support research activities, technology evaluation, and innovation initiatives related to industrial inspection systems.

Requirements

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Optical Engineering, Mechatronics, Robotics, or a related discipline.

• Knowledge of machine vision, optical instrumentation, sensing technologies, industrial automation, or related areas.

• Experience with imaging systems, sensors, system integration, experimental testing, or measurement systems will be advantageous.

• Familiarity with image processing, computer vision, Python, MATLAB, C++, LabVIEW, or equivalent tools is preferred.

• Strong analytical, problem-solving, communication, and project coordination skills.

• Ability to work effectively both independently and within multidisciplinary teams.

We regret to inform that only shortlisted candidates will be notified.