Total 495 Junior Executive level Education / Training job vacancies

• Location: MindSpace@The Woodleigh Mall 
• Monday to Friday : 1pm to 7pm
• Salary : $1,200 - $1,400

Job Responsibilities

• Assist teacher guide primary school children (primary 1 to 5) to ensure completion of daily homework.
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Maintain and build relationships with children and parents.
• Assist Teacher conduct unique enrichment programmes.
• Ensure safety and timely transfer of students from school to student centre.
• Ensure safety of children within the premises.
• Any other ad-hoc duties as delegated by Centre Director / Teacher.

Job Requirements

• Assistant teacher experienced
• Min Diploma in any field

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

We are looking for Assistant Teachers for East side in Singapore.

Responsibilities:

• Assist the Preschool Teacher in class
• Assist in daily needs of children, including showering, meal time and toileting
• Support classroom administration
• Engage with children and parents

Requirements:

• At least a Fundamental Certificate in Early childhood education
• At least 1 year experience is advantageous
• Enjoys working with children
• Singaporeans only

Additional Information:

• Job Type: Full time, Permanent
• Location: Islandwide

Interested candidates are invited to send in your Resume in MS Word Format stating your past work experience, reasons for each job move, and your past and expected salary.

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

By submitting an application to us, you will be deemed to have agreed for us to collect, use, and disclose your personal data which you have submitted to your prospective employers, for the purpose of job search, and/or other services which you have consented us to perform on your behalf.

Ng Zhenyu (R1326341)

Cultivar Asia Pte Ltd | EA License: 19C9782

www.cultivar.asia

Our client is a local leading education provider. They are looking for a Student Care Teacher / Assistant for the next phase of their business. They are located at East – Easily Accessible.

Student Care Teacher : Up to $3.5k

Assistant Teacher : Up to $2.5k

Responsibilities:

• Guide Primary 1–6 students with homework and academic support

• Deliver centre programmes and enrichment activities

• Monitor students’ progress and maintain communication with parents

• Prepare teaching materials and maintain a conducive classroom environment

• Ensure students’ safety, including school pick-up arrangements

• Support other duties assigned by the Centre Director

Requirements:

• Diploma or higher qualification in Mathematics, Science, or a related discipline

• At least 2 years of teaching or tutoring experience with primary school students

• Ability to teach primary-level subjects confidently

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

We are looking for Relief Teacher Assistants for various preschool centres.

Responsibilities:

• Assist the Preschool Teacher in class
• Assist in daily needs of children, including showering, meal time and toileting
• Support classroom administration
• Engage with children and parents

Requirements:

• Early childhood qualification is good to have but not mandatory
• At least 1 year experience is advantageous
• Enjoys working with children
• Fresh graduates welcome to apply
• Singaporeans only

Additional Information:

• Job Type: Part time, Temporary
• Location: Islandwide

Interested candidates are invited to send in your Resume in MS Word Format stating your past work experience, reasons for each job move, and your past and expected salary.

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

By submitting an application to us, you will be deemed to have agreed for us to collect, use, and disclose your personal data which you have submitted to your prospective employers, for the purpose of job search, and/or other services which you have consented us to perform on your behalf.

Felicia Giovani (R2199602)

Cultivar Asia Pte Ltd | EA License: 19C9782

www.cultivar.asia

Part-Time Assistant Teacher (Chinese/English) - Job Description

The Starry Way Preschool is looking for a dedicated and energetic Assistant Teacher to join our team for the afternoon session. Whether your strength lies in English or Mandarin, we welcome educators who are passionate about supporting a child’s inquiry-based learning journey in a warm, family-like setting.

✨ Why Join Us: Unique Value Proposition

• Ideal Work-Life Balance: Perfect for those seeking a consistent part-time schedule (2:30 PM – 6:30 PM).

• Professional Growth: Even as an assistant, you will work under the guidance of our Founder (Lecturer at NIEC & SUSS), gaining exposure to high-level pedagogical standards.

• Nurturing Culture: Join a "small and close-knit" team where every educator is supported and treated like family.

• Future Opportunities: Potential for more involvement as we grow and implement our curriculum excellence initiatives.

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the English Language and Literature department.

Project Title: Train Your Dragon: Fine-tuning Large Language Models to Create Agentic AI for Automatic Assessment Generation

Project Introduction:

This position involves two closely related research strands at the intersection of language assessment and artificial intelligence. The first focuses on developing agentic AI systems to support the automated construction and evaluation of language tests. This includes fine-tuning large language models (LLMs) for tasks such as item generation, test assembly, and automated essay scoring, with an emphasis on validity, reliability, and methodological transparency.

The second strand centers on advancing LLM-based spoken dialog systems integrated with sensor technologies, including neuroimaging and eye-tracking. Building on our existing in-house platform, the research assistant will extend system capabilities to address emerging research questions related to cognitive load, interaction dynamics, and adaptive dialogue management. This role requires both technical development and empirical research, contributing to innovative approaches in technology-enhanced language assessment.

A. Required background and skills

• Bachelor’s degree in computer science, artificial intelligence, data analytics, computational psychology, or a closely related field

• Demonstrated experience with large language models (LLMs), including fine-tuning, APIs, or related methods for text generation or evaluation tasks

• Programming proficiency in Python (knowledge of R is an advantage)

• Experience developing agentic AI systems using LLM APIs/SDKs, including tool use, orchestration, and workflow design

• Proficiency in one or more of the following areas: natural language processing (NLP) and/or speech technologies (e.g., ASR, TTS, dialog systems)

• Reliable background in quantitative and computational methods

• Working understanding of experimental research design and data analysis
  

B. General competencies

• Strong motivation for interdisciplinary research and ability to work collaboratively in a team environment

• Strong teamwork skills, openness to innovative ideas, and intellectual curiosity

• Resilience and persistence in tackling complex research and development challenges

• Excellent written and verbal communication skills in English
  

C. Preferred

• Experience with automated item generation, automated essay scoring, or educational measurement applications of AI

• Familiarity with spoken dialog systems or conversational AI development

• Familiarity with sensor-based research methods (e.g., EEG, fNIRS, eye tracking)—training will be provided

• Familiarity with neurofeedback and human–computer interaction (HCI) methods

• Experience working with multimodal data (e.g., speech, text, physiological signals)

• Prior involvement in interdisciplinary projects combining AI, language, and cognitive science

• Experience contributing to academic publications or conference presentations
  

Responsibilities:

• Develop and fine-tune LLMs for language assessment applications, including automated item generation, test assembly, and automated essay scoring

• Design and implement agentic AI systems using LLM APIs/SDKs, including tool integration, workflow orchestration, and iterative model improvement

• Contribute to the development and extension of in-house spoken dialog systems for research and experimental use

• Integrate and manage multimodal data streams (e.g., speech, text, neuroimaging, eye tracking) within dialog system architectures

• Support the design and implementation of experimental studies involving human-AI interaction and sensor-based data collection

• Analyze and interpret quantitative and multimodal datasets using appropriate statistical and computational methods

• Collaborate with interdisciplinary team members across AI, language assessment, and cognitive science domains

• Contribute to the preparation of research outputs, including conference papers, journal articles, and technical reports

• Document code, models, and experimental procedures to ensure reproducibility and scalability

• Assist in maintaining and improving research infrastructure, including codebases, APIs/SDK integrations, and experimental platforms

• Any other duties as assigned by the Principal Investigator
  

Application

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

Closing Date

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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the English Language and Literature department.

Project Title: The Nature of Human-AI Interactions in Multimodal Academic Lecture Assessment: A Generative AI and Sensor Technology Investigation

Project Introduction:

Recent developments in generative AI are transforming how we create educational content and assess language skills. Tools that generate spoken or video-based content, as well as conversational AI systems, are increasingly used in language learning and testing. These technologies hold significant promise but also raise important questions about how learners interact with and respond to AI-driven materials.

This project investigates how learners engage with educational content and interactive systems powered by generative AI. It explores the neurobiological, emotional, and behavioral aspects of listening and conversation in academic settings, focusing on the ways learners process spoken input, engage with digital characters, and experience language-based interaction in AI-enhanced environments. The study involves two phases. One focuses on how learners respond to academic input in various formats, and the other explores user interaction with conversational systems built on generative AI. Across both phases, the project will use a range of behavioral, neurophysiological, and self-report measures to gain a well-rounded understanding of user engagement and comprehension. The findings are expected to inform future practices in using AI technology, language assessment, and learner-centered design.

Requirements

• Bachelor's degree in computer science and/or data analytics; quantitative and computational language sciences; cognitive neuroscience, or a closely related field
• Demonstrated expertise in generative AI tools, including text-to-speech (TTS), large language models (LLMs), text-to-video (TTV), automatic speech recognition (ASR), or their combination
• Working knowledge of neuroimaging techniques such as fNIRS (training will be provided)
• Theoretical and/or practical familiarity with eye-tracking methodologies (training will be provided)
• Strong background in programming languages such as Python
• Background in quantitative and computational methods (training will be available during the project)
• Strong motivation for scientific inquiry, effective collaboration skills, and a constructive team-oriented mindset
• Excellent written and verbal communication skills in English

Preferred

• Familiarity with cloud-based integrated development environments (IDEs) as well as APIs
• Prior involvement in interdisciplinary research projects (e.g., cognitive science and computer science)
• Experience contributing to peer-reviewed publications or conference presentations

Responsibilities:

• Designing experimental protocols and research instruments that integrate generative AI technologies
• Developing AI-enhanced materials and tools, including listening tasks and GenAI-based conversational systems
• Data preparation and conducting quantitative and computational analyses using programming languages such as Python and R
• Preparing clear, well-documented reports and updates for the Principal Investigator (PI)
• Collaborating with interdisciplinary team members to refine experimental design and ensure methodological rigor
• Assisting with the preparation of academic publications, conference presentations, and research dissemination activities
• Managing data processing pipelines, including preprocessing and visualization of neuroimaging and behavioral data
• Supporting the implementation and testing of cloud-based tools and integrated development environments as needed
• Other responsibilities assigned by the Principal Investigator

Application

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

Closing Date

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

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-%28Pharmacy-and-Pharmaceutical-Sciences%29/32592-en_GB/?st=F60B62FB7157CB4DA8743736577FB0031852900E

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Boxiang Liu on the wetlab validations of AI-optimised mRNA sequences for stability and protein expression.

The main responsibilities of the position include:
- Gene synthesis and in vitro mRNA transcription for transfection into cells.
- Cell line construction and maintenance.
- Analysis of protein expression by flow cytometry.
- High throughput sequencing of gene libraries.
- Characterisation of mRNA vaccine and therapeutic effects in vivo.

Qualifications

Qualifications / Discipline:
- Bachelor’s or Master's degree in molecular biology, cell biology, immunology, or a related discipline; equivalent research experience will also be considered.  

Skills: 
- Proficiency in PCR, cloning, mammalian cell culture and transfection, fluorescence microscopy and immunostaining is required.
- Experience with fluorescence-activated cell sorting and flow cytometry data analysis, in vitro transcription, high throughput gene library construction and sequencing, and mouse model perturbation and analysis is advantageous.
- Excellent self-motivation, teamwork skills, and the ability to design and troubleshoot experiments are preferred.

Experience: 
- Prior laboratory experience in molecular biology, cellular biology or immunology projects with mammalian cell experiments.
- Experience with in vivo experiments, particularly with mouse models, is an advantage.
- Contribution to at least one paper in a relevant field. Having a published first author paper is an advantage.

• Location: MindSpace@The Woodleigh Mall 
• Monday to Friday : 1pm to 7pm
• Salary : $1,200 - $1,400

Job Responsibilities

• Assist teacher guide primary school children (primary 1 to 5) to ensure completion of daily homework.
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Maintain and build relationships with children and parents.
• Assist Teacher conduct unique enrichment programmes.
• Ensure safety and timely transfer of students from school to student centre.
• Ensure safety of children within the premises.
• Any other ad-hoc duties as delegated by Centre Director / Teacher.

Job Requirements

• Assistant teacher experienced
• Min Diploma in any field

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Roles and Responsibilities:

Teaching & Learning Assistants (TLA) play a vital role in supporting the educational and emotional development of learners. Your responsibilities are diverse and essential for creating an effective environment focused on learning and growth.

You will play a pivotal role in shaping, not only, the educational experiences of our learners, but also the teaching, learning and collaborative culture of our school. Your responsibilities align with our commitment to redefine teaching and learning and our need to be innovative in our approach, process and application.

You will work collaboratively with all members of the learning community while keeping the leaners’ growth and development at the forefront of what you do.

JOB RESPONSIBILITIES

Classroom Support:

• Support the lead educator in delivering learning experiences by helping to prepare materials, setting up equipment, and managing classroom resources.
• Provide one-on-one or small group assistance to learners who may need extra help with their learning, ensuring that all learners can access and engage.

Student Engagement:

• Motivate learners to engage in classroom experiences and foster a positive learning environment.
• Observe and track learner progress, providing feedback to lead educators about individual learner needs and their achievements.

Learning Environment Management:

• Help maintain a calm and orderly learning environment by implementing strategies as directed by the lead educator.
• Assist in resolving conflicts among learners and support them in developing social skills.

Administrative Duties:

• Assist with maintaining learning records, including attendance, assessment results, and reports.
• Help prepare teaching materials and resources for learning, ensuring that everything is ready for effective instruction.

Safeguarding Responsibilities:

• Be vigilant about the safety and well-being of learners, recognizing signs of distress or abuse, and reporting concerns to the designated safeguarding lead (DSL).
• Contribute to creating a safe and supportive learning environment where learners feel comfortable expressing themselves.

Collaboration:

• Collaborate with teaching team and other staff members to plan lessons and share insights about learner progress.
• Occasionally assist in communicating with parents regarding their child's progress or any concerns that may arise.

Continuous Professional Development:

Engage in ongoing professional development opportunities to enhance skills related to teaching practices, child development, and safeguarding protocols.

REQUIREMENTS

Qualifications and Experience:

• Minimum Diploma holder or equivalent in Early Childhood Education, Special Education, Counselling, Psychology or related field.
• Minimum 2 years' work experience within a school setting
• Excellent verbal and written English skills.
• Familiarity with cognitive science-based teaching and learning an advantage.
• Passionate about helping students to learn and grow.
• Able to make decisions in the best interests of children.
• Sound EQ, empathy and a strong understanding of self.
• Excited about working collaboratively in a learning-focused team.
• Possess a learning and growth mindset.
• Internationally minded and accepting of all people regardless of age, gender, sexual persuasion, culture or language.
• Creative and innovative in ideas and outlook.
• Sense of humor.
• Adaptable and flexible to the needs of colleagues, students, school and self.

At RD American School, you’ll be part of a forward-thinking team shaping the future of education. You’ll have the opportunity to innovate, lead, and make a meaningful impact on learners and families across the region.

The National Institute of Education invites suitable applications for the position of Research Assistant on an 18-month contract at the Office of Teacher Education & Undergraduate Programmes.

Project Title: Orchestrating AI-enabled Mathematics Lessons: An Exploratory Study

Project Introduction:

The introduction of Artificial Intelligence (AI) into education has potentially ushered in an era of new possibilities for reimagining learning, teaching, and assessment practices. The current developments in machine learning, data analytics, natural language processing, and other adaptive technologies promise to provide students with personalised learning pathways and automated feedback, while supporting teachers to adopt a more discursive teaching stance (Pepin et al., 2025). For instance, ChatGPT and other AI-enabled technologies have been used to support teachers in planning mathematics lessons (Gurl et al., 2024), developing mathematics tasks (Schorcht et al., 2024), and designing learning environments for mathematical problem solving (Liu et al., 2025). These perceived affordances of AI have catalysed interests in developing more responsive and differentiated mathematics instruction through a data-driven approach.

However, it remains unclear how teachers can fully harness the affordances of these AI-enabled technologies, given their limitations in reliability (e.g., hallucinations) and adaptability for use with diverse student groups (Celik et al., 2022; Schorcht et al., 2024). Furthermore, as highlighted by Sinha (2025), what constitutes good AI use in education depends on teachers’ perspectives of learning—do they see learning from an instructivist, constructivist, or embodied perspective? These differing perspectives can influence how teachers think about mathematics task design (Schorcht et al., 2024). More importantly, how AI-generated tasks or AI educational tools are used in classrooms adds to the complexities and nuances of orchestrating learning experiences for students. It is not simply about the design of the task, but also how the task is used in the actual instruction (Smith & Stein, 1998).

Therefore, the main aim of this project is to investigate how two expert teachers think as they orchestrate AL-enabled learning experiences in mathematics classrooms, from planning to implementation.

Requirements:

• Bachelor’s degree in education, social sciences, or a related field

• Minimum of 3 years of experience in research support, research communication or knowledge translation.

• Familiar with Qualitative and Quantitative Research

• Excellent writing skills

• Ability to synthesise diverse literature

• Good communication and presentation skills

• Project management skills

• Proficient in Microsoft Word, Microsoft Excel, SPSS, and NVivo

• Ability to work independently and collaboratively

• Organised, reliable, patient, and with strong initiative
  

Responsibilities:

• Conduct data collection and analysis to support research objectives

• Coordinate and manage project timelines and deliverables

• Report writing and contributing to academic publications and presentations

• Collaborate with colleagues to support cross-functional research initiatives

• Other duties as assigned by the Principal Investigator
  

Application

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

Closing Date

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

• Company Benefits & Incentives
• Career Progression Opportunities
• Attractive Salary Package
• Working Location: Island wide - Arrange Close to Your Home
• Working days: 5 days
• AOP & Private Premium Singapore Childcare & Preschool Centers

Job Requirements:

• Infant Care Teacher - Min. ACEY (EY2) / HCIC (EY1) / CIT with EYDF completed
• Assistant Infant Care Teacher - Ongoing ACEY / HCIC course or relevant experience

Job Scope:

• Monitoring learning progress of students
• Building good rapport with parents, staff and students
• Provide a safe and secure environment for children to feel comfortable
• Guide, motivate and monitor Assistant Teacher/Classroom helpers in carrying out their tasks
• Follow assigned work shift patterns of the center

1. Infant Care Teacher $2,800-$3,600

• Monitoring learning progress of students
• Building good rapport with parents, staff and students
• Provide a safe and secure environment for children to feel comfortable
• Guide, motivate and monitor Assistant Teacher/Classroom helpers in carrying out their tasks

2. Assistant Infant Care Teacher $2,000-$2,800

• To supporting the main Infant Care teachers. NOT required to take on teaching responsibilities
• To provide routine care for the of infants from 2 months - 18 months old
• Create a classroom environment that is safe, joyful and conducive for Infant’s development
• Attend to the health, hygiene and safety needs of the infants

Tee Xin Li Reg No: R24121619

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

We are seeking Research Assistant to join a university-level research centre collaborating with industry. Successful candidates will be involved in a project that is related to object detection. The key responsibilities include the following:

• Participate in lab work and support on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc.

• Assist in preparing technical documentation, reports, and research reports and/or publications as required by the funding body or for dissemination to the wider academic community.

• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Bachelor’s degree (or near completion) in Computer Science, Electrical/Computer Engineering, or a related field.

• Basic understanding of machine learning and computer vision principles.

• Familiarity with Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or Keras).

• Interest in research and willingness to learn and explore new concepts.

• Good communication skills and ability to work both independently and as part of a team.

• Strong motivation, initiative, and a passion for solving technical challenges.

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

Job Description:

• Assist the dentist during treatments and procedures.
• Sterilize and prepare dental instruments and equipment.
• Take and develop X-rays (if required).
• Prepare patients and provide post-treatment care instructions.
• Manage patient appointments and maintain records.
• Ensure clinic cleanliness and stock dental supplies.
• Follow safety and infection control protocols.

Requirements:

• No prior experience is required.

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : kimlow@recruitexpress.com.sg

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 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-AssociateAssistant-%28Infectious-Disease-Modelling-&-AI-for-Public-Health%29/32509-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public Health is recruiting two Research Associates/Assistants to support a diverse portfolio of research projects at the intersection of infectious disease modelling, Bayesian inference, AI, and public health. Projects span AI-driven epidemic forecasting, transmission modelling in the ASEAN region, social network dynamics and use for large language models for public good. Successful candidates will be embedded in a multidisciplinary team working with epidemiologists, clinicians, biostatisticians, data scientists, and public health agencies.

We welcome candidates with complementary skill profiles. One position is oriented towards computational/statistical modelling; the other towards data engineering, visualisation, and software development. Both positions involve hands-on research work and will suit candidates looking to build a strong research track record before or alongside a PhD. The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners.

Key Responsibilities
• Implement and test statistical and computational models for infectious disease dynamics (compartmental models, Bayesian inference, phylogenetic analysis, or machine learning pipelines depending on profile).
• Process, clean, and analyse large-scale epidemiological, genomic, and/or mobility datasets.
• Develop data visualisation tools and contribute to interactive surveillance dashboards.
• Support the preparation of manuscripts, reports, conference presentations, and workshops.
• Collaborate with internal team members and external partners across institutions and countries.
• Contribute to code documentation and reproducible research workflows.

Additional Opportunities
Exceptional candidates may have the opportunity to pursue a PhD at NUS. The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

Research Associate (higher band): Master's degree in a relevant discipline (statistics, epidemiology, computer science, bioinformatics, computational biology, biostatistics, or related) with two years of relevant work experience.

Research Assistant (entry band): Bachelor's degree with strong analytical training; candidates with no experience are welcome to apply.

• Solid quantitative background; familiarity with Bayesian inference or machine learning is an advantage.
• Proficiency in Python and/or R; experience with probabilistic programming (Stan, PyMC, NumPyro) or deep learning frameworks (PyTorch, JAX) is desirable but not required.
• Ability to work with real-world datasets and to communicate findings clearly in writing and presentations.
• Demonstrated ability to work both independently and as part of a team.
• A publication or pre-print record (for Research Associate level) is an advantage but not essential.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, and relevant experience,
• A comprehensive curriculum vitae.
• Contact information for two professional references (letters may be requested).