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-Engineer-%28Catalyst-Development%29/32288-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The staff would support at least one project under the supervision of the Principal Investigator (PI). The scope of the project is on catalyst development for fuel conversion. The staff will need to develop a well-justified approach to achieve a goal once a problem statement and/or a research scope are defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically. The staff will need to report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge. The staff will need to draft manuscripts and attend conferences to publicise the project findings. The staff will need to support other team members.

Qualifications

A well-qualified candidate should:

• Possess a Bachelor’s degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;
• Be passionate about research;
• Be an expert of catalyst development;
• Possess strong spoken and written communication skills at professional level;
• Be a good team player;
• Excellent publication record in related areas.

Job Description & Requirements

Job Responsibilities

• Lead and/or co-design a new module or improve a current module in collaboration with NIEC Headquarters’ Curriculum & Programmes (C&P) team
• Coordinate for academic meetings, and training / complete exam processing
• Review the module with the C&P team in tandem with industry development and in line with module and course objectives
• Design and adopt innovative pedagogy, keeping abreast with technological developments to achieve module outcomes and quality delivery of the module
• Monitor the Module/Course Evaluation Survey for quality indicator for improvements
• Deliver lessons according to module objectives, learning design and lesson instructional plans as provided by NIEC HQ
• Adopt and apply the assessment strategies and requirements for module assignments according to NIEC’s and Polytechnic’s assessment guidelines
• Monitor students' performance, give informative and constructive feedback to students on their learning
• Supervise student assignments/projects/practicum/internship
• Act as a class advisor/mentor for tutorial groups to provide students with the necessary information and support in areas that affect their studies. E.g., refer student to Student Services (SAS) for financial assistance and counselling on personal matters at the Polytechnic
• Handles/follow-up with students’ disciplinary issues in consultation and in collaboration with Module Leaders/Course Chairs/Course Leads when necessary

Job Requirements

• Master in Early Childhood Education or education related post-graduate qualifications; and
• Bachelor’s degree in Early Childhood with 5-8 years of teaching and supervisory experience in the early childhood industry;
• Candidates with experience in inclusive practice, special needs education, or proficiency in relevant Mother Tongue languages will have an advantage, as the role may require teaching modules delivered in these languages.
• Meticulous, self-initiated, responsive and adaptive to change;
• Able to work collaboratively in a team.

This position will be based at any one of NIEC’s campuses, namely , Ngee Ann Polytechnic Campus, ITE Campus (Ang Mo Kio) or Temasek Polytechnic Campus.

Perks & Benefits:

• Learning & Professional Development
• Comprehensive Benefits Package such as attractive leaves schemes, flexible benefits, dental coverage etc.

Note: All new hires will be offered a two-year contract in the first instance. Contract renewal and emplacement on permanent appointment will be subject to continuous good performance.

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

Work Location:

• Choa Chu Kang

Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities

• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers

• Assist teachers in preparation of instructional materials and/or classroom environment for lessons

• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.

• Work with functional committees to plan and implement school-wide educational and recreational programmes.

• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “O” level, NITEC, or equivalent

• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.

• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)

• Possess working knowledge of educational technology applications

• Proven effective classroom and student behaviour management skills

Responsibilities

• Conduct experimental research on various properties of the Company’s products, as well as analysis and tests to investigate the chemical phenomena of products.
• Responsible for new product testing, development and prototype production; as well as assisting customers during material evaluation and qualification phases with the Company’s products.
• To work closely with customers in the development of suitable material configurations to meet customer needs and providing technical support to them.

Requirements:

• Degree in Chemical Engineering / Chemistry / Materials Science / Polymer.
• At least 1 – 2 years of working experience in similar capacity. Those with more than 3 years of experience will be considered for Senior Engineer's position.
• Knowledge of polymer science and semiconductor materials composition.
• Knowledge of IC package encapsulant and semiconductor back-end processes.
• Knowledge in material characterization and/or FA equipments is preferred.
• Experience in DOE, FEM and numerical analysis would be advantageous.
• Innovative, meticulous, analytical with initiative.
• Must be a team player and strong work commitment.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met.
• Conduct insights-driven evaluations of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance.
• Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability.
• Design and implement a digital chain-of-custody framework that captures assurance records including mill certificates, fabrication data, inspection results and carbon footprint information.
• Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records.
• Develop a cloud-based verification platform for digital data collection and real-time analytics.
• Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel.
• Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members.
• Develop data-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems.
• Prepare and draft technical reports, conference/journal papers, and presentation materials; present research findings to internal reviews, industry partners and stakeholders.
• Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements.
• To communicate in any relevant internal or external stakeholders to ensure project deliverables are met.
• Any ad-hoc duties assigned by Supervisor.

Job Requirements

• Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent.
• Strong foundation in data engineering, AI/ML development, and software systems (e.g., data pipelines, cloud services, dashboards, web-based application development).
• Experience in handling real-world datasets and model development/deployment workflows.
• Domain expertise in building construction/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis.
• Knowledge of construction QA/QC and quality control workflows (e.g., inspection processes, test documentation, traceability and compliance records) is an advantage.
• Strong background in structural engineering, structural mechanics, or steel structures.
• Familiarity with non-destructive testing (NDT) techniques for structural materials is desirable.
• Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable.
• Good interpersonal, written and verbal communication skills, with the ability to work independently and in multidisciplinary teams.
• Strong analytical and conceptual abilities; able to work both in a team and independently.
• Able to work under pressure and meet deadlines.

Key Competencies

• Proficient in Python or other equivalent programming languages.
• Strong foundation in data analytics and data-driven modelling.
• Able to build and maintain strong working relationships with people within and external to the university.
• Able to work independently with strong data analytical skills, communication and interpersonal skills.
• Self-directed learner who believes in continuous learning and development.
• Proficient in technical writing and presentation.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

As a University of Applied Learning, SIT collaborates closely with industry partners in our research pursuits. Our research staff can gain practical research skills that are directly relevant to industry needs while working on projects at SIT.

The main responsibility of this position is to deliver on an industry innovation research project. The Research Fellow/Engineer will be a key member of the research team focused on developing a framework for soil conditioning in Singapore soils through a series of experimental investigations. Additionally, they will work on delivering a novel Screw Conveyor Extraction Test (SCET) equipment, crucial for accurately assessing the effectiveness of soil conditioning in tunneling processes. The proposed framework and equipment will be validated at an active tunneling site.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.

• Undertake these responsibilities in the project:
• Execute all experiments (e.g. foam stability test, slump test etc.) reliably.
• Liaise with the industry partner and agency to plan and execute the field trials.
• Develop the framework for effective soil conditioning in local soils.
• Design the SCET equipment and liaise with vendors in its manufacture and assembly.
• Validate the framework and SCET using findings from field tests.
• Mentor and provide technical guidance to student assistants involved in the research project.
• Carry out Risk Assessments, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of the equipment.
• To liaise with any internal or external stakeholders to ensure project deliverables are met
• Any other ad-hoc duties assigned by Supervisor.

Job Requirements

• Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling.
• Prior experience in basic soil characterization and knowledge in basic soil mechanics is required.
• Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of physical modelling will be advantageous.

Key Competencies

• Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling.
• Prior experience in basic soil characterization and knowledge in basic soil mechanics is required.
• Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of physical modelling will be advantageous.

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe.  Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

Key Highlights: (AI / ML Engineer)

• 5 Work Days, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

• Entitled to Yearly Bonus & Performance Bonus 

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Job Requirements: 

1. Bachelor's or master's degree in computer science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits. 

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

This role supports the Future Ship and System Design (FSSD) Programme, which aims to accelerate the decarbonisation and digitalisation of Singapore’s maritime sector. The project focuses on developing planning methods to support the electrification of harbour craft fleets, using real-world operational data to derive charging demand profiles and infrastructure recommendations.
As part of this work, we are seeking a Research Fellow to lead the development of a user-friendly GUI tool that will enable stakeholders to interact with planning models and visualise simulation outputs. The RF will also support increasing coordination between different projects as the number of case studies and incoming datasets continues to grow.

Key Responsibilities:

• Design and develop a GUI tool to make model inputs/outputs accessible to end-users
• Collaborate with project leads and researchers to ensure technical accuracy of the interface
• Support integration of simulation outputs across Projects 3-1 and 3-2
• Manage and process large sets of operational data for case study analysis
• Contribute expertise in power grid optimisation to enhance planning models
• Participate in stakeholder engagements and respond to evolving technical needs

Job Requirements:

• A strong background in power systems, energy modelling, or grid optimisation
• Proficiency in GUI development (e.g. using Python Dash, Tkinter, or web-based frameworks)
• Experience working with data-driven simulation and model validation in power grids (Ph.D level is mandatory)
• Ability to work independently and collaboratively in a fast-paced, multi-stakeholder environment
• Prior exposure to maritime or transport-related electrification studies is a plus

We are looking for a Research Engineer to join our MOE AcRF Tier 1 funded research project at the Singapore Institute of Technology. You will be part of an interdisciplinary team spanning accounting and NLP/AI, working to design, build, and validate a pipeline that detects inconsistencies and contradictions between firms' written financial filings (10-K/10-Q) and spoken earnings call transcripts. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of inconsistency scores. 

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Job Responsibilities

• Drive the technical execution of the research project under the guidance of the PI and Co-PI, ensuring project deliverables and timelines are met.
• Design and implement the retrieval-augmented NLI pipeline for inconsistency and contradiction detection across corporate disclosures (earnings call transcripts and SEC filings).
• Perform large-scale text preprocessing, cleaning, segmentation, and indexing of earnings call transcripts and financial filing corpora.
• Implement claims extraction modules using LLM-based approaches to identify key assertions from corporate disclosures.
• Build semantic retrieval mechanisms (e.g., Sentence-BERT embedding similarity search) for matching claim-context pairs across disclosure channels.
• Implement and evaluate contradiction detection models using NLI frameworks and LLM prompting techniques.
• Aggregate model outputs into firm-quarter level scores and prepare structured datasets for empirical analysis.
• Support human-in-the-loop validation by coordinating with student annotators and preparing annotation guidelines.
• Maintain reproducible research workflows using version control (Git) and systematic documentation of processes, code, and findings.

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Job Requirements

• Bachelor’s degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field.
• Strong programming skills in Python, with experience in relevant libraries such as HuggingFace Transformers, PyTorch/TensorFlow, and scikit-learn.
• Prior experience or coursework in natural language processing, machine learning, or information retrieval.
• Familiarity with version control tools (e.g., Git/GitHub) and collaborative development practices.
• Experience with financial data or financial text analysis will be advantageous.
• Familiarity with LLM APIs, prompt engineering, and retrieval-augmented generation (RAG) workflows will be advantageous.
• Good communication skills and ability to work both independently and collaboratively.

Duration: 2-year contract
Location: Buona Vista
Working Hours:

• Monday – Thursday: 8:30am – 5:30pm
• Friday: 8:30am – 5:00pm

About the Role

We are seeking a dynamic and analytical OD / Learning & Development Executive to support organisation development initiatives. This role focuses on strengthening the OD ecosystem through competency development, learning interventions, and talent deployment strategies.

Key Responsibilities

• Review and enhance the OD competency framework, driving adoption and ensuring accurate identification of OD talent
• Maintain and update a database of OD practitioners across the Singapore Public Service
• Design, manage, and implement learning interventions such as training programmes, masterclasses, and community of practice sessions
• Establish tracking and monitoring systems to evaluate learning outcomes and programme effectiveness
• Support deployment and tracking of OD consulting projects, attachments, and pilot initiatives (e.g. ODExcelerator)
• Coordinate project matching to align agency needs with practitioner development goals
• Collaborate with internal teams to design and implement project-based learning interventions
• Drive process improvements and evaluate programme success for continuous enhancement
• Provide strategic input on talent deployment and development pathways within the OD ecosystem

Requirements

• 3–6 years of experience in Learning & Development, Talent Development, or Organisation Development
• Strong stakeholder management and partnership-building skills
• Analytical mindset with attention to detail
• Good project coordination and organisational skills
• Comfortable working in a dynamic and evolving environment
• Passion for talent development and organisation transformation within the public sector

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile

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

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PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R25159218 (Teoh Ying Ying)

About SUTD

SUTD is the world’s first Design AI university. With Design AI, artificial intelligence is treated as a partner and a member of the team – not just a tool. As a result of this unique SUTD treatment, AI and humans brainstorm, spar and prototype together, resulting in solutions that are elevated several-fold. This human-AI team concept has been made possible because of SUTD’s unique cohort-based interdisciplinary pedagogy. As a trailblazer in the field of design and technology education and research, SUTD has been pioneering innovative programmes and initiatives since its formation 16 years ago. As part its new mid-term growth strategy called SUTD Leap, it will work closely with industry to co-create solutions in both education and research – for a better world.

What You'll Do
The Language and Social Cognition Lab at Singapore University of Technology and Design invite applications for a Research Fellow to join an interdisciplinary research project examining human-human and human-AI communication in multilingual/multicultural contexts, with a particular focus on senior adults in Singapore.  

This project examines how linguistic diversity, cultural norms, and aging shape communicative breakdowns and adaptations in interactions involving large language model (LLM)-based conversational agents. The candidate will conduct mixed-methods research, including interviews, behavioral experiments, discourse analysis of multilingual dialogue, and field user studies in local elder-care settings. The candidate will work closely with an interdisciplinary team across psychology, HCI, and AI, contributing to the evaluation of proactive AI companion agents with respect to cultural sensitivity, engagement, and usability.   

Who We're Looking For

• At least a PhD in Psychology, Cognitive Science, Human-Computer Interaction, Communication Science, or related fields.
• Strong background in psychological research methods (e.g., behavioral, experimental, interviews, mixed methods) is required.
• Experience in conducting research with senior adults, multicultural or multilingual research, and/or human-AI interaction is preferred.
• Knowledge of or willingness to work with LLM-based systems will be a strong asset.

This position is for one-year contract, with the possibility of a one-year extension subject to performance and funding availability.

The primary responsibility of this role is to deliver on an academic research project funded by MPA, where you will be part of the research team under the project titled: HarbourCraftSafe: Fire Resilinet Battery Room Design for Next-Gen Electric Habour. The project is in collaboration with two local industry collaborators.

Under this job title, you will develop a CFD modelling platform to evaluate the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal runaway in the battery room and beyond, considering the various common battery chemistries in eHC and atmospheric conditions. You will also need to experimentally characterise the heat release rate (HRR), flammable and toxic gases emissions of various types of batteries potentially deployed in eHC through reduced scale testing. Lastly, you will also need to evaluate the various gas monitoring sensors performance in detecting the battery gas releases for remote monitoring and early detection, and evaluate the potential fire suppression strategies on battery fires.

Job Responsibilities: 

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.

• Undertake these responsibilities in the project:
• Assists in co-supervision of final year projects (FYP) or capstone projects students under the Project PI.
• Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the deliverables.
• Assists the PI in drafting of reports, conference proceedings and journal articles based on the outcome of the projects.
• Prepares and shares fortnightly report of results from the computations with the PI.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements:

• Master or Ph.D (preferred) in Mechanical Engineering, Marine and Offshore Engineering or related fields.
• Strong knowledge and experience in battery fire simulation is high advantageous.
• Hands on experience on experimental studies
• Familiarity with CFD applications working on industrial related projects using high performance computing clusters would also be advantageous
• Strong foundation in Fluid Dynamics
• Strong prior experience in CFD – particularly in battery fire combustion and spread.
• Strong skills in turbulence modelling, CFD mesh generation in complex 3D geometries.
• Proficient in handling large data sets and the ability to analysis and interpret results.
• Experience in commercial CFD package such as ANSYS package and FDS is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT and FDS, Meshing tool and post-processing software.
• Able to work independently with strong data analytical skills, communication and interpersonal skills.

Key Competencies:

• Proficient in Ansys Fluent or FDS Simulation
• Strong foundation in Fluid Dynamics
• Able to work independently with strong data analytical skills, communication and interpersonal skills.
• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

As a University of Applied Learning, the Singapore Institute of Technology (SIT) collaborates actively with industry in our research work. We seek a motivated candidate who is keen on rigorous research, the practical applications of code exfiltration and reverse engineering as well as security penetration testing. 

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of a research team to investigate and determine potentially critical Commercial Off-The-Shelf (COTS) drone system vulnerabilities impacting confidentiality, integrity and availability.

Key Responsibilities

• Participate in the research project with Principal Investigator (PI), Co-PIs and research team members to ensure all project deliverables are met.
• Undertake or help guide work and demonstrations in the following tasks:

1. Code exfiltration and binary reverse engineering.
2. Study, understand and analyse mobile platform applications.
3. Android app reverse engineering (Drone apps)
4. Static and Dynamic analysis(experience in tools like Frida, Burp, Wireshark)
5. Develop AI-assisted agents for automated firmware analysis and exploration
6. Build a controlled firmware-replica environment for evaluating protocol security
7. Design, develop and test control augmentation techniques.
8. Adaptation of developed techniques for more generic use.

• Perform project documentation and crafting of research papers.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

 Job Requirements

• A good degree in Computer Science / Engineering or higher.
• Proficiency with code exfiltration and reverse engineering.
• Proficiency with penetration testing techniques and tools.
• Proficiency with software scripting and development work on desktop and / or mobile platforms.

Key Competencies

• Self-directed learner who believes in continuous learning and development.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.
• Proficient in technical writing and presentation.
• Able to build and maintain good working relationships with people within and external to the university.

Job Scope:

As the Learning and Development Specialist you will support the pursuit of the key outcomes through managing key programmes and initiatives such as the “ODExcelerator” pilot programme, which combines project-based applied learning with strategic talent deployment to build OD capabilities across the Singapore Public Service, reviewing the OD job family and functions, and competency framework and policy in order to support practitioners’ professional development. Your responsibilities span programme management, stakeholder engagement, operations monitoring and impact evaluation.

Responsibilities:

• Review of OD Competency framework, foster adoption of the OD competency framework and ensure correct identification of OD talent; and maintain an up-to-date database of OD practitioners across the Singapore Public Service.
• Design, manage, and implement additional learning interventions to support OD community growth, including facilitating community of practice sessions, training programmes, and masterclasses
• Establish and maintain robust tracking and monitoring systems for learning outcomes, OD consulting gig-project deployments or attachments across the Public Service, and comprehensive evaluations throughout the ODExcelerator pilot initiative
• Design and coordinate project matching processes to ensure optimal alignment between agency requirements and practitioner development objectives
• Work with the team to design, shape, and manage the implementation of project-based applied learning interventions
• Conduct process enhancements and refinements to optimise the implementation approach and evaluate the overall success of the ODExcelerator initiative
• Contribute towards providing strategic input on talent deployment decisions and development pathways to build and sustain the public service's OD ecosystem

Requirements:

• At least 3 – 6 years of experience in learning and development, talent development or organisation development
• Should have strong partnership-building and stakeholder management skills, combined with an analytical mindset and keen attention to detail.
• Comfortable navigating ambiguity, possess excellent project coordination and management skills and demonstrate genuine passion for talent development and organisation transformation in the public service.

Working Hours: Office Hours

Contract Period: 2 years

Salary: $5000-$6500/month

Location: Buona Vista

EA License No.: 96C4864

Reg No.: R26159658 BRANN LEONG CHUN HOE

Research & Business Development Associate (B2B | Telemarketing & Market Intelligence)

Sennex is a leading design-and-build firm specialising in high-performance workplaces, from corporate offices to advanced laboratory environments. We combine design, strategy, and execution to deliver spaces that drive business outcomes.

We’re a fast-growing, entrepreneurial team known for our strong sales track record, collaborative culture, and commitment to delivering exceptional client experiences. If you’re looking to build a career at the intersection of research, sales, and marketing—this is a strong entry point.

The Opportunity

We’re looking for a proactive and commercially minded individual with B2B telemarketing or telesales experience to support our business development efforts. This role is ideal for someone who enjoys engaging with decision-makers, uncovering opportunities, and contributing directly to revenue growth.

You will play a key role in identifying target market opportunities, building our pipeline, and supporting strategic outreach initiatives.

Key Responsibilities

• Conduct B2B research to identify high-potential target companies and decision-makers
• Execute outbound calls to qualify prospects and generate sales appointments
• Maintain and enrich our CRM/database with accurate, actionable information
• Support ongoing market research and marketing initiatives
• Collaborate closely with the database and sales teams to ensure strong lead follow-up

What We’re Looking For

• Experience in B2B telemarketing, telesales, or lead generation
• Confident communicator with a professional and engaging phone manner
• Highly organised, with strong follow-through and attention to detail
• Comfortable working with data and CRM systems
• Self-motivated, resilient, and target-driven
• A collaborative team player with a proactive mindset

Why Join Sennex?

• Clear career progression pathway into Sales & Marketing roles
• Exposure to real business development strategy and client engagement
• Dynamic, supportive, and high-performing team environment
• Opportunity to work on meaningful projects shaping modern workplaces

Compensation & Benefits

• Competitive base salary
• Quarterly performance incentives
• Hospitalisation insurance (full-time employees)
• Wellness benefits package

We welcome applications from candidates seeking both full-time and part-time opportunities.