Total 1,295 job vacancies by National University Of Singapore

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.

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

• Conduct advanced research on energy and environmental systems to support policy-making for Singapore's decarbonization pathways.
• Participate in engagements with stakeholders and external research groups; supervise research students involved in the study.
• Produce policy reports, documentation and publish articles in reputable academic journals.
• Cultivate networks, initiate collaborations, and prepare funding proposals to support ongoing research.
• Perform administrative duties, including organizing seminars, workshops, and conferences, along with other responsibilities as assigned by the Head of Division or Principal Investigator.

Requirements

• Possess a master’s degree in energy systems modelling, energy and climate economics, or related quantitative research fields.
• At least two years of relevant research experience in areas including: national-level energy systems model (e.g. MARKAL-TIMES, GCAM, CGE), sector-specific energy system model (e.g. power, transportation, industry), techno-economic evaluation for energy and decarbonization technologies, or energy and environmental analysis (e.g. decomposition analysis, input-output analysis, life cycle analysis).
• A good understanding and interest in energy and environmental issues, such as energy supply, demand, trade, efficiency, energy and environment relations, and climate change.
• Experience in energy system model integration is a plus.
• Relevant working and practical experience in industry or government agencies in energy and environment in Singapore would be highly valuable.
• Track record of publications in reputable energy, environmental and/or systems modelling-related journals would be an advantage.
• Able to work independently and collaborate with team members.

Application Process

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 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

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 Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

Contract Period: 1 to 31 December 2024

Responsibilities

• Assist in updating members' application in membership system
• Respond to members' queries
• Assist in any other administrative requirements

Requirements

• Min Diploma
• Able to work independently with minimal supervision and good teamwork

Free lunch daily

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

• To assist in the data entry of MSc application processing
• To assist in the checking of any potential fraudulent cases pertaining MSc applications
• To assist in other MSc graduate student administrative duties

Qualifications

• GCE ‘O’ Level or equivalent or higher.
• 3 to 5 years of related working experience preferred.

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

We are looking for a highly motivated and competent research assistant to work on research focusing on peptide crystallization as a versatile platform technology for delivering biocompatible nanomaterials. The successful candidate will help with lab management and support ongoing research activities.

The main responsibilities of the position include:

a. Lab safety, ordering, and lab management (30%)

• To serve as a lab safety lead.
• To be responsible for lab ordering.
• To organise chemicals and consumables in the lab and update the inventory.
• To create and review standard operation protocols (SOPs) and risk assessments (RAs).
• To ensure cleanliness and tidiness of the lab.

b. Research tasks (70%)

• To perform peptide synthesis and characterization of synthesized peptides.
• To perform peptide crystallization and characterization of crystallized peptides.
• To test bioactivity of protein/peptide using bioassays.

Qualifications

Qualifications / Discipline:

• Bachelor’s degree in biology, microbiology, pharmacy, pharmaceutical science, chemistry, life sciences, materials science, bioengineering, chemical engineering, or related field.

Skills:

• Excellent time and project management skills.
• Excellent communication skills and great ability in written and spoken English.
• Be able to work independently and be a team player.

Experience:

• Experienced in bioassay preparation and handling.
• Experienced in crystallization and crystal characterization.
• Experienced in powder processing and characterization.
• Experienced in tablet preparation and characterization.
• Experienced in data analysis using softwares such as R, MatLab etc.
• Experienced in report writing and presentation preparation.

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 (NUS) invites applications for the role of Research Assistant/Research Associate with the Heat Resilience & Performance Centre (HRPC), Yong Loo Lin School of Medicine. The HRPC is a first-of-its-kind research centre, established at the NUS, to spearhead and conduct research and development to better enable the future challenges arising from rising ambient heat. Appointments will be made on a two-year contract basis, with the possibility of extension.

The Research Assistant/Associate who will play a key role in assisting in the development, execution and analysis of research aimed at addressing the challenges of training and operating in rising ambient temperatures. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This role will provide you with a unique opportunity to not only develop your expertise in research planning and execution, but also to be a part of the team looking to generate fundamental and forward-looking solutions to working in the heat. There are also opportunities to pursue a part-time PhD with HRPC.

Main Duties and Responsibilities

The main areas of responsibilities of the role will include but not limited to the following:

• Working with research PIs and teams to develop new research ideas
• Performing literature searches, assimilating, and summarizing key information, as well as identifying knowledge gaps
• Designing and conducting relevant studies and surveys (qualitative and quantitative, including lab and outfield studies)
• Establishing and managing large databases
• Interpreting and analysis of data
• Generating reports and present data to relevant stakeholders
• Contributing to conference presentations and write papers for submission to peer reviewed journals
• Collaborating across teams, contributing to multiple research projects at once

Qualifications

A minimum qualification of a Bachelor’s degree in Exercise Science, Physiology, or equivalent. Candidates with strong data science and analytics background and keen to delve into heat health research are strongly encouraged to apply as well). Experience in statistics, data analysis and visualisation software (e.g. SPSS, Power BI), and computer applications (e.g. Microsoft Office, data management and online meeting tools) would be required as well.

In addition, the role will require the following job relevant experience or attributes:

• Keen interest in heat health and human performance
• Proficient in qualitative research
• Proficient in data analysis tools in quantitative research
• Two or more years of research work experience would be an advantage
• Proven knowledge of data collection methods
• Good written and verbal communication skills
• Good presentation skills and ability to write research reports for publication in reputable journals

Additional Skills

• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• High levels of attention to detail and quality
• Willingness to travel off-site and outside routine hours for data collection and undertake further training in relevant data collection procedures
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organizational culture
• Willingness to contribute to a learning environment

Application

The role is based in Singapore.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

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 Fellow will work closely with the Principal Investigator, Dr. WU Zhe, on several research projects of optimization of chemical and manufacturing processes through machine learning tools
• The Research Fellow will help to develop both theoretical and simulation study of machine-learning-based control and optimization algorithms to chemical processes.

Job Requirements

For Research Fellow Position:

• A PhD degree in a relevant area, e.g., Control Engineering, Chemical Engineering, Automation, Systems Engineering, Computer Science or Applied Mathematics;
• Good publication record;
• Experienced in advanced process control, machine learning, and programming languages (e.g., python, Matlab, C++, etc)

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.

Energy Studies Institute

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

Job Description

• Conduct advanced research on energy and environmental systems to support policy-making for Singapore's decarbonization pathways.
• Participate in engagements with stakeholders and external research groups; supervise research students involved in the study.
• Produce policy reports, documentation and publish articles in reputable academic journals.
• Cultivate networks, initiate collaborations, and prepare funding proposals to support ongoing research.
• Perform administrative duties, including organizing seminars, workshops, and conferences, along with other responsibilities as assigned by the Head of Division or Principal Investigator.

Requirements

• Possess a PhD degree in energy systems modelling, energy and climate economics, or related quantitative research fields.
• At least two years of relevant research experience in areas including: national-level energy systems model (e.g. MARKAL-TIMES, GCAM, CGE), sector-specific energy system model (e.g. power, transportation, industry), techno-economic evaluation for energy and decarbonization technologies, or energy and environmental analysis (e.g. decomposition analysis, input-output analysis, life cycle analysis).
• A good understanding and interest in energy and environmental issues, such as energy supply, demand, trade, efficiency, energy and environment relations, and climate change.
• Experience in energy system model integration is a plus.
• Relevant working and practical experience in industry or government agencies in energy and environment in Singapore would be highly valuable.
• Track record of publications in reputable energy, environmental and/or systems modelling-related journals would be an advantage.
• Able to work independently and collaborate with team members.

Application Process

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 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

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. Conduct lab-based research and perform experiments.
2. Collaborate with colleagues both inside/outside the group.
3. Assist in daily lab management duties.
4. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner.
5. Ensure compliance with environment, safety, health and quality program requirements from all levels (e.g. university, faculty of engineering and the department of MSE).
6. Translation and commercialization. Training will be provided

Job Requirements

A bachelor and a master degree in Chemical Engineering, Material Engineering or related field is required. The candidate should have 2-3 years of experiences in doing research.

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 Prof Barbaros Oezyilmaz and Dr Toh Chee Tat on lab support, sample preparation and characterization under a project on Large area synthesis and applications of atomically thin amorphous materials.

The main responsibilities of the position include:

1. Direct growth of MAC on target substrates using a UV-based CVD approach.
2. Transfer of 2D material, layer-by-layer assembly of the all-carbon transistors and memristors
3. Electrical tests of the devices, exploration of the transfer curves of transistors with thin amorphous dielectrics
4. Characterization of MAC (e.g. optical, electrical, Raman spectroscopy, Atomic Force Microscope, Scanning Electron Microscope).
5. Device fabrication of test samples for potential applications.
6. Data analysis and physical interpretation of the results.
7. Manage lab safety, equipment maintenance and operations.
8. Meet key deliverables for industry collaboration.

Qualifications

• Qualifications / Discipline: Bachelor's or Master's degree in materials science, engineering, or a related field, with a focus on thin film deposition
• Skills: Strong verbal communication skills in English, ability to solve problems and generate new ideas

Experience:

1. First-hand experience with operation and maintenance of CVD reactors and vacuum systems
2. Experience with electronics and the use of clean room is desirable

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

STATEMENT OF PURPOSE

The Memory Aging & Cognition Centre (MACC) is a Research Center within the National University Health System funded by the Singapore National Medical Research Council that focuses on the study of dementia and cognitive impairment in the elderly. The MACC currently has 4 research themes on (i) neurochemistry, molecular pathology and biomarker discovery, (ii) neuroimaging, (iii) clinical assessment and (iv) epidemiology.

We are seeking a highly motivated Research Assistant to join our team at the MACC. The successful candidate will play a pivotal role in the daily operations and maintenance of the laboratory, as well as the handling of samples obtained from human or animal studies. The successful candidate will also have opportunities to work on various laboratory testing/techniques and contribute to the team's research effort in neurochemistry and blood biomarkers of Alzheimer's disease and vascular cognitive impairment.

Duties and Responsibilities

1. Handle samples obtained from human (blood, plasma, serum, post-mortem brain tissues) or animal studies, including the proper processing, documentation, tracking, storage and retrieval of samples.
2. Ensure compliance with laboratory safety protocols and regulatory requirements.
3. Manage and coordinate daily operations and maintenance of the laboratory, including administrative duties.
4. Support the PI and Research Fellows in experimental procedures related to neurochemistry and blood-based biomarkers research.
5. Assist the PI and Research Fellows in supervising and training students and junior researchers.

Qualifications

1. Bachelor's degree in Biomedical or Life Sciences.
2. Meticulous, attention to details, able to work independently, strong organization and documentation skills.
3. Previous work experience in the following area(s) is advantageous:

• Handling human and/or animal specimens as well as biobanking
• Neurochemistry laboratories, biomarker-related laboratories, pharmaceutical laboratories and/or research animal laboratorie

4. Knowledge of lab safety regulations/guidelines is desirable.

The candidate should possess the ability to work independently (with training) in a highly collaborative and international research environment, and be able to demonstrate initiative, technical independence and excellent communication skills. The successful candidate will be expected to be self-motivated in neurochemistry and biomarker research projects within the MACC under the supervision of the MACC Director, PIs and Research Fellows, as well as collaborators in NUHS and Duke-NUS.

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 Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at bchjg@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 three (3) referees.

We regret that only shortlisted candidates will be notified.

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 NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

NUS IT is the IT department of NUS, we develop solutions that are used by students, staff, as well as other visitors that serve to further NUS education needs and vision.
We are seeking an experienced Data Architect to oversee technical data architecture in NUS.
The role will manage the technical architecture of our data platforms as well the solution architecture of data related solutions. This role will also champion the proper implementation and adherence to best practices across all stages of the data platform delivery lifecycle.
This is a hands-on individual contributor role and the candidate should have recent hands-on development experience.

Duties and Responsibilities

Data Platform Technical Architecture

• ​Create, manage, and document optimal data pipeline architecture.
• ​Understand technical architecture of data related platforms and provide advisory to other teams.
• ​Build the infrastructure required for optimal extraction, transformation, and loading of data from data sources.
• ​Create, manage, and document data pipelines in the data pipeline solution and keep them in line with business needs.

​Data Solutions Architecture

• ​Design the solution for a modern data platform, including aspects like master data management, data lakehouse, data pipelines.
• ​Design best practices for data related implementations.
• ​Define and champion the direction for data platforms and their technologies, including their framework, architecture, standards, and guidelines.

Technical Expertise

• ​Stay updated about of emerging technologies and industry trends in order to drive innovation within our organization.

​Organizational Collaboration

• ​Provide technical guidance and expertise to teams, helping to solve complex technical challenges.
• ​Collaborate with engineering teams, fostering a culture of innovation, collaboration, and excellence.
• ​Provide direction and guidance to teams (both inside and outside of NUS IT) on working with the data platform.
• ​Collaborate with university departments on any technical solutioning required to support data platform requirements.

Qualifications

• ​Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• ​Minimum of 8 years of experience with a focus on data platforms architecture and engineering.
• ​Proven ability to work with cross-functional teams, promoting collaboration and achieving the objectives of programme and initiatives.
• ​Exceptional problem-solving and critical-thinking skills, with a track record of effectively addressing technical challenges and risk mitigation.
• ​Demonstrated strategic thinking and planning abilities, capable of aligning technical projects with organizational goals and market demands.
• ​Relevant experience in designing, developing, and supporting data platforms, having successfully completed projects in data projects delivery.
• ​Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• ​Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

​Technical Expertise

• ​Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Working experience in Azure cloud.
• ​Strong working experience in Azure Fabric – specifically Data Factory, Data Engineering, OneLake (Data Lake Storage) and Data Warehouse.
• Good working experience knowledge of master data management.
• ​Working experience in big data and DataSecOps is an added advantage.
• ​Experience in MS SQL and Oracle, including querying and tuning large, complex data sets and performance analysis is preferred.

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

Duties and Responsibilities

(A) SPECIFIC (80%)

1. Conduct neuropsychological assessment and follow-up of patients and subjects for mood, anxiety, stress, resilience, personality traits, behaviour/habits, and emotional and social intelligence, ensuring standardised testing procedures are followed.
2. Collect, manage, and organise research data with attention to detail and data integrity.
3. Perform data analysis using statistical software (e.g. SPSS, R, Python) to identify trends and correlations related to cognitive impairment.
4. Assist in the preparation of research reports, manuscripts, and presentations for dissemination of study findings.
5. Maintain clear and accurate records of all research activities.
6. Collaborate effectively with a multidisciplinary team of researchers, clinicians, and data analysts.
7. Adhere to ethical guidelines and regulatory requirements for research involving human subjects.

​​​​(B) GENERAL (20%)

The Research Assistant will carry out other duties as specified by their Reporting Officer.

Qualifications

(A) EDUCATION, TRAINING AND EXPERIENCE

1. BSc, BA, BA (Psych) or a related background. Final year students are welcome to apply.
2. Proficiency in data analysis and statistical software (e.g. SPSS, R, or Python).
3. Strong organisational skills and attention to detail.
4. Excellent communication skills, both written and verbal.

(B) LANGUAGE

Fluent in English and Mandarin (We are recruiting personnel to perform Chinese language cognitive assessment for a mandarin speaking elderly population).

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 Summary

Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is seeking a dedicated and skilled Research Fellow to lead research on the ectomycorrhizal fungi and associated microbial communities in Dipterocarpaceae tree species across urban and forested landscapes in Singapore. This position plays a key role in advancing knowledge on plant-microbe interactions, contributing to conservation and ecological health of Dipterocarpaceae trees.

Duties and Responsibilities

• Lead fieldwork initiatives for the survey and collection of soils associated with the ectomycorrhizal fungi and microbiome of Dipterocarpaceae tree species across diverse environments in Singapore.
• Conduct health assessments of surveyed Dipterocarp trees, gathering data to compare markers of healthy and unhealthy specimens.
• Coordinate with the National Parks Board (NParks) for site access and to ensure accurate sampling locations.
• Perform assays to quantify soil properties and nutrient content in collaboration with team members.
• Conduct untargeted metabolomics on soil samples to identify microbial and metabolite profiles.
• Work closely with interdisciplinary teams to drive research objectives and achieve project outcomes.

Qualification

• PhD in Plant Ecology, Environmental Science, or a related field.
• Proven field experience in sample collection and ecosystem surveys.
• Strong collaboration skills and the ability to work effectively within a multidisciplinary team.
• Excellent written and verbal communication skills.