Total 70 Science / R&D / Research job vacancies in Fort Hamilton, New York

• As a Research Psychologist, you will perform the following duties which is not an all-inclusive list:
• Communicate and inform Army leaders at the 4-star level concerning research outcomes and best practices to ensure a strategic understanding of the nuance and application of human performance optimization research.
• Apply appropriate statistical and analytic procedures to achieve empirical solutions to optimize Soldier physical performance.
• The incumbent will provide subject matter expertise to develop, direct, implement, coordinate and oversee empirical research designed to optimize Soldier and unit physical readiness and reduce injuries and attrition.
• Initiate programmatic changes to the U.S. Army physical readiness training and assessment doctrine and independently make changes to the Army’s program of instruction to reflect best practices in physical fitness training and health promotion.

Proud member of the Disability Confident employer scheme

***THIS IS NOT A VIRTUAL POSITION, YOU MUST LIVE WITHIN OR BE WILLING TO RELOCATE WITHIN A COMMUTABLE DISTANCE OF THE DUTY LOCATION***

This is a term appointment not to exceed 1 year 1 day. Term appointments are non-status, nonpermanent appointments of limited duration of more than 1 year, but not more than 4 years and are subject to a 1 year trial period. Should the need warrant, term appointments may be extended without further competition up to a maximum of the 4 year limitation. The appointment to a term position does not confer eligibility for promotion, reassignment, or transfer to other positions or the ability to be non-competitively converted to permanent employment.

This position involves a multi-grade career ladder. The major duties listed below represent the full performance level of GS-11. At the GS-09 grade level, you will perform assignments of a more limited scope and with less independence. You will progressively acquire the background necessary to perform at the full performance level of GS-11. Promotion is at the discretion of the supervisor and is contingent upon satisfactory performance, availability of higher-level work, and availability of funds.

Major duties and responsibilities include but not limited to:

Manages Clinical Tests and Collects Data

Managing implementation, control and reporting on clinical tests and data collection for difficult clinical research studies
Recording data from samples and specimens to ensure that all tracking data is organized and is monitored during the progress of the study
Coordinating the accomplishment of the scientific review and evaluation of research programs
Participating in initial classification and coding of qualitative/quantitative data and entering coding data into qualitative/quantitative software
Assisting with data analysis from a variety of sources, including databases and spreadsheets, and conceive and write reports
Respond to inquiries from a sponsor, clinical research coordinating center and/orsite Pl on matters related to data, data compliance, and subject complaints related to data collection
Creating and maintaining complex research databases, working with existing VA administrative databases, and managing spreadsheet files for data tracking, budget tracking, and other project management tracking tasks
Recording and maintaining results and records of all tests or assessments as per protocol and in a manner complying with research regulations
Developing and maintaining/updating study database in accordance to sponsor and/or Pl's specifications. Assist Pl with data analyses and interpretation

Recruits and Manages Candidates for Clinical Trials

Overseeing, screening, and evaluating recruitment of candidates for clinical research studies via telephone and/or in person
Using objective rating techniques to identify potential candidates for participation in study where project design is complex
Overseeing recruitment and enrollment of participants, providing information on study objectives and constraints
Performing informed consent process throughout the study and continuously educate participants on study processes and procedures
Obtaining verbal and/or written informed consent, Health Insurance Portability and Accountability Act (HIPAA) authorization, and background demographic information from patients
Performing day-to-day activities related to conducting and overseeing participant interviews and follow-up
Coordinating study participant randomization to treatment, works closely with the Research Pharmacy on study drug provision
Identifying study adverse events and side effects, symptoms which might require intervention or referrals

Research Project Support

Assisting supervisor with managing the routine, day-to-day activities, and administration of the project
Analyzing processes and documentation to ensure compliance with all technical, regulatory requirements, and information safety regulations
Conducting quality assurance evaluations for project data and clinical research instruments
Providing technical guidance to research staff regarding regulations, policies, and procedures applicable
Responding to general inquiries from program participants, staff, and other stakeholders
Managing participant compensation, maintain compensation records, and prepare invoices or electronic funds transfer for reimbursement of participants
Assisting in the development of clinical research standard operating procedures/policies and implementation of administrative procedures
Organizing and maintaining all study documents for management, data, record keeping and/or compliance purpose
Administering screening, advisory and approval processes for the organization's health science research program
Performing a variety of duties to maintain specialized data and implement study design.

Work Schedule: Monday to Friday; 08:00 a.m. to 04:30 p.m.
Recruitment & Relocation Incentives: Not authorized
Critical Skills Incentive (CSI): Not Approved

For additional information on direct hire opportunities with the Air Force please click here.

• Negotiate and compose technical customer test requirements into effective sled test requirements and measurements
• Manage multiple projects simultaneously
• Establish reporting timelines for post-test data processing and publish written technical reports
• Understand and communicate technical information to stakeholders across various disciplines, both verbally and in writing
• Assist in the creation and archival of accurate and timely test documentation including contract documents, test plans, safety plans, security plans, launch orders, mission reports, etc.
• Document test setup and post-test conditions
• Use a variety of software and analytic methods to deduce test conditions. Test data includes, but is not limited to Doppler radars, high speed cameras, accelerometers and angular rate sensors
• Draw conclusions based on test data and compile into a technical report
• Communicate effectively with test team and customers to achieve proper data collection. Primary modes of communication include technical reports, presentations and meetings/email correspondence
• Work with and motivate team members across diverse functional areas
• Respond effectively to rapidly changing situations

The regulatory affairs consultant for Asia Pacific will provide regulatory strategic and tactical leadership for drug development projects, including health authority interactions, regulatory submissions, clinical trial applications and other regulatory requirements in line with GARDP objectives, timelines and budgets. This role requires a deep understanding of local regulatory requirements and the ability to navigate complex regulatory environments.

Tasks and Responsibilities

• Preparation and submission of local Clinical Trial Application to regulatory authorities and IRB/IEC as soon as possible to obtain all necessary regulatory approvals within defined timelines.
• Primary responsible person for communication with RA and ECs during the clinical trial lifecycle.
• Manage and support the clinical research organization responsible for clinical trial applications for NEOSEP Part 2 to regulatory authorities and ethic committees in the Asian countries (Bangladesh, Vietnam, Malaysia, India and Pakistan).
• Complete regulatory intelligence on regulatory pathways for registration of old antibiotics in the Asian countries
• Manage and support the sublicensee responsible for the STI product registration in Asian countries.
• Assess and communicate the impact of relevant regulatory policies, regulations, country legislation in relation to the GARDP product portfolio.
• Compile and assesses regulatory intelligence to assist in the development of local, regional regulatory strategies.
• Develop new regulatory affairs policies, processes, and standard operating procedures for the GARDP RA system.
• Support the articulation of the regulatory requirements for the early access programs.
• Attend project team meetings (in absence of the HEAD of RA) to provide technical guidance and support on regulatory activities in Asia Pacific.
• Organize and man
• Mangement of regulatory documents and records for the GARDP products.

Point of Contacts and Interactions

The main point of contact is the Head of Regulatory Affairs of GARDP. He / She works closely with the GARDP programmes & project teams.

Position Requirements:

Knowledge and Skills:

• Good understanding of the regulations, directives and guidance supporting clinical Research and Development.
• Strong working experience with a variety of regulatory authorities is required, with real first-hand experience of managing clinical trial applications and product registrations with different regulatory authorities.
• Experience with regulatory authorities, Ethic Committees and Ministry of Health for the Asia Pacific countries.
• Ability to work on several projects, retaining quality and timelines and can prioritize workload with minimal supervision.
• Strong ownership and oversight skills.
• Good negotiating skills and the ability to identify and resolve issues, using flexible adaptable approach. Ability to establish and maintain effective working relationships with co-workers, managers and clients.
• Strong software and computer skills, including MS Office applications.

Education and Experience:

• Bachelor’s degree in pharmacy / science or Master’s degree.
• Minimum 5 years’ experience in Regulatory Affairs for Asia Pacific countries and clinical trial activities related to medicines is mandatory.

To Apply:

• Please submit your application using the online form
• Consultant Tax Registration number
• Deadline for applications: 8.12.2024
• From 1st of January to 31st of December
• Activity rate : 80%
• Please note that only shortlisted candidates will be contacted.

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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 incumbent will provide administrative support to the Undergraduate Studies Section, Dean's Office, Faculty of Science. Duties and responsibilities include, but are not limited to the following -

1) Faculty Co-ordinator for timetabling

• Keep abreast of Science Faculty Curriculum Committee (SFCC)/Board of Undergraduate Studies (BUS)/University Committee on Educational Policy (UCEP)/Senate approved proposals to facilitate planning and scheduling of classes and examinations.
• Coordinate with departments for planning of following academic year's timetable in the Class and Examination Timetabling System (CMIS).
• Update class and examinations timetable changes as and when required.
• Work with departments to verify accuracy of data and resolve any issues for the purpose of Student Feedback Exercise.

2) Pre-examination preparation and during examination support

• Plan and coordinate examination activities for each Academic Year according to the timelines and deadlines stipulated by Registrar's Office.
• Coordinate system updates for examinations related information and ensure data is appropriately entered.
• Act as liaison between Registrar's Office and departments to ensure that all necessary information are disseminated and shared with all parties involved.
• See to the examinations logistical requirements as well as arrangements for students with special needs.

3) Post-examination activities

• Coordinate and work closely with departments to complete the necessary checks and comply with the examinations processing schedule stipulated by Registrar's Office.
• Perform the duties of Faculty's Board of Examiners Secretariat and ensure that decisions made are updated accurately and quickly in Edurec and followed through.
• Plan, conduct and prepare report for examinations audit.

4) Undergraduate Studies Section duties

• To be rostered for section duties such as taking notes of regular section meetings, replying to email enquiries from students, and counter duties.

5) Others

• Provide assistance at University/Faculty level events such as Open House, Freshmen Orientation Briefing, and Commencement.
• Any other duties as assigned by the Vice Dean.

Qualifications/Requirements/Other Info

• Degree holder with positive learning attitude.
• Experience in timetabling and scheduling will be advantageous.
• Proficient in Microsoft applications.
• Ability to work under pressure and multi-task in a fast-paced environment with multiple timelines and demands.
• Ability to exercise tact and discretion in handling sensitive and confidential information.
• Possess effective oral and written communication skills.
• Mature, independent, adaptive and meticulous.
• A team player with the ability to interact well with all levels of stakeholders.

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

Job Description

The research scientist will be working with a team to carry out basic research in trustworthy formal methods. The topics of interest under this project include trustworthy automated reasoning, verification of randomized algorithms, compiler verification, and control/hybrid systems verification.

Key Responsibilities

• Research and Development: To carry out research tasks relevant to the project scope in trustworthy formal methods as listed briefly above.
• Student Supervision: Co-supervise students (undergrad/masters/PhD level) in relevant research tasks.
• Publication and Dissemination: Disseminate completed research work through publications and presentations at various high-quality international venues.
• Strategic Planning: Participate in other department/institute-level research activities and grant/project proposals.

Job Requirements:

• PhD degree in Computer Science / Mathematics or related fields
• At least 3 years of ecperience
• PhD specialization in formal methods, computational logic, or related topics, with track record of high-quality publications in top-tier venues.
• Proficiency in proof assistants such as Isabelle/HOL, Coq, or Lean will be beneficial.
• Knowledge or experience in cybersecurity will be beneficial.

Desired Attributes

• Ability to deeply investigate the topics of interest, leading to high-quality and impactful research output.
• Applicants should be motivated, resourceful, and analytical individuals.
• Possess good interpersonal, presentation and communication skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

At Sulzer, you are empowered to deliver superior results. As a pioneer in industry we have a proud heritage of innovation and continue to evolve for the future. Join our story and create your own impact by developing your expertise and building solutions that help make our lives safer, smarter and more sustainable.

In this role you will be accountable for:

• Design and conduct bench-scale test and pilot testing related to the company's separation process technology. Some tests may required rotating shift schedule.
• Develop and review validation protocols for bench-scale test and pilot testing
• Investigate and resolve discrepancies identified during bench-scale test and pilot testing
• Collaborate with process engineers to develop new technologies and improve existing ones
• Work with the sales team to develop commercialization strategies for new technologies
• Stay up-to-date with industry trends and emerging technologies related to separation processes

To succeed in this role, you will need:

• Degree in Chemical engineering, Biochemical engineering, Environmental engineering or related fields
• 2 to 5 years of analytical testing experience in pharmaceutical, petrochemical or flavor and fragrance environment.
• Knowledge of separation processes such as distillation, liquid-Liquid extraction, and crystallization.
• Experience designing and conducting bench-scale tests and pilot testing, as well as experience developing and reviewing validation protocols is an advantage.
• Basic knowledge and experience in analytical chemistry, including experience with various analytical equipment is an advantage.
• Awareness for safe handling of chemicals, potentially dangerous materials and equipment.
• With process engineering background are welcome to apply.

Sulzer is an equal opportunity employer, committed to the strength of a diverse workforce.

83% of our employees recommend Sulzer as a good place to work and we are proud to be recognized as a Top Employer 2023 in Brazil, China, Switzerland, United Kingdom and United States. So come and join our story, starting today!

Project Overview

The AMR IRG is an interdisciplinary community of biologists, engineers, and clinicians from MIT and Singapore, sharing a state-of-the art research facility and united by a commitment to providing a supportive intellectual environment where students and staff can learn, grow, and contribute to solving a pressing societal problem.

The objective of this project is to advance the field of RNA analysis by developing and implementing innovative analytical tools. These tools will be used in a comprehensive study of all forms of RNA -- the ribonucleome -- and the >170 RNA modifications -- the epitranscriptome -- in disease pathobiology, host-pathogen interactions, biomarker development, and therapeutic target discovery.

Responsibilities

The Research Engineer will plan and conduct experiments with the aim of studying the roles of RNA modifications in human immunue diseases. The candidate will work primarily on cell culture, RNA isolation, and chromatography-coupled mass spectrometry analysis. As part of this work, the candidate will prepare results for publication, be a liasion with the AMR IRG community, work with external collaborators, and develop strong experimental and communication skills.

Requirements

• B.S. or M.S. in biochemistry, molecular & cell biology, bioengineering, chemical engineering, or a related field.
• Experience in cell culture, RNA extraction, high-performance liquid chromatography or mass spectrometry are prefered. Strong proficiency in oral and written communication in English. Ability to work well with others and as part of a team.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notifie

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Job Description

The research scientist will be working with a team to carry out basic research in trustworthy formal methods. The topics of interest under this project include trustworthy automated reasoning, verification of randomized algorithms, compiler verification, and control/hybrid systems verification.

Key Responsibilities

• Research and Development: To carry out research tasks relevant to the project scope in trustworthy formal methods as listed briefly above.
• Student Supervision: Co-supervise students (undergrad/masters/PhD level) in relevant research tasks.
• Publication and Dissemination: Disseminate completed research work through publications and presentations at various high-quality international venues.
• Strategic Planning: Participate in other department/institute-level research activities and grant/project proposals.

Job Requirements:

• PhD degree in Computer Science / Mathematics or related fields
• At least 5 years of ecperience
• PhD specialization in formal methods, computational logic, or related topics, with track record of high-quality publications in top-tier venues.
• Proficiency in proof assistants such as Isabelle/HOL, Coq, or Lean will be beneficial.
• Knowledge or experience in cybersecurity will be beneficial.

Desired Attributes

• Ability to deeply investigate the topics of interest, leading to high-quality and impactful research output.
• Applicants should be motivated, resourceful, and analytical individuals.
• Possess good interpersonal, presentation and communication skills.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. 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.

Job Description

We have openings for talented scientists who are ready to take up a leadership role in our group and to spearhead new initiatives and provide supervision and guidance to junior members of the team.

You will be part of a well-funded initiative to create quantum networks of superconducting circuits mediated by telecom photons. Your job could include the following subjects:

• Leading the design and fabrication of superconducting qubits that resist to moderate magnetic fields
• Spearheading the development and fabrication of chips that combine superconducting circuits and integrated photonics
• Exploring novel fabrication methods to couple rare-earth ions in solid-state with integrated optics and superconducting circuits
• Measuring quantum correlations between microwave photons at cryogenic temperature and telecom photons at room temperature

You will also work closely with the Principal Investigator to develop future experimental goals and shape the general research direction of the group. There will also be ample opportunity to explore your own ideas and participate in grant-writing processes. We aim to provide you a challenging and supportive environment to perfect your research leadership skills and get ready for your next career step!

ABOUT THE GROUP

Qove Laboratory is led by Assistant Professor Steven Touzard and located at the National University of Singapore. The lab is funded by the prestigious NRF Fellowship. Our group works on a large range of quantum technologies, with currently an emphasis on remotely entangling superconducting qubits with telecom photons to form long-range quantum networks.

To know more, go to https://qovelab.com

Qualifications

Postdoc applicants should have proven research experience and have a strong interest in quantum technologies. Furthermore, a PhD in Experimental Physics or Engineering is required, as well as knowledge on quantum optics measurement, optical fiber equipment, as well as cryogenic equipment. Ideally you received your PhD working on superconducting circuits, spin defects in solid-state, integrated optics or quantum optics experiments.

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

Research Fellow position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Fellow will work closely with the Principal Investigator (PI) on theories and applications of learning-based control. The project will investigate and develop both deep reinforcement learning algorithms and conventional robust adaptive control methods, to develop safety-critical learning-based control algorithms that leverage the advantages of both model-based and model-free methods. In particular, the developed algorithms will be demonstrated through robust control of drones.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates will be responsible for conducting theoretical research and algorithm development. The candidates are expected to help the PI supervise junior PhD students as well.

The candidates should have a Ph.D. degree from a reputable university, with expertise in robust adaptive control, reinforcement learning theory, collision-avoidance trajectory optimization, etc.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, optimization, etc.). Strong publication records in leading journals and conferences are required.

Qualifications

• Possess a Ph.D. Degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Communication, Mechanical, or Information Engineering).
• Have substantial research experiences in robust adaptive control, reinforcement learning, learning-based control, model predictive control, etc.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and doctoral studies.
• Strong publication records in leading journals and conferences are highly valued
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of reinforcement learning and control for robotics applications.
• Activity performed in world-class research environments is highly valued.

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

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

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025