Total 293 process development engineer job vacancies in Education / Training category

The Manager of People Manager Upskilling Programs will lead the learning experience design, implementation, and continuous improvement of manager development programs globally that build critical manager capabilities across WD (Western Digital.) This person will drive upskilling initiatives that enable first-line and mid-level managers to effectively lead self, lead teams, and execute business strategy while fostering a high-performance culture.  

In this role, you’ll collaborate with Human Resources and all of WD’s key business functional leaders, to ensure the People Manager Learning programs are engaging, inclusive, and aligned with organizational goals. 

Success in this role requires a balance of designing and executing impactful learning experiences that drive behavior change, operational excellence to scale programs, stakeholder engagement, and continuous improvement. 

Key Responsibilities 

Learning Program Strategy & Design 

• Design “in the flow of work life” learning experiences that fit with WD’s diverse audience needs and include Change Management and Resiliency thinking into all management programs 
• Develop comprehensive people manager training curriculum covering core competencies in alignment to WD’s desired business outcomes. Fundamental needs may be but aren’t limited to: shifting from doing the work to enabling and coaching others, delegation, prioritization and goal setting, giving and receiving feedback, recognizing quality performance, having difficult conversations that drive performance improvement and increase motivation, and managing a multi-generational workforce.  
• Create blended and scalable learning pathways and programs for new managers, experienced managers, and high-potential leaders that meet the needs and demands of our vast managerial audiences. 
• Align programs with WD's strategic priorities, overall leadership skills framework, cultural values, and business objectives. 
• Gather audience needs and feedback on current state and align to business outcomes and data insights to refine content and continuously evolve. 
• Pilot innovative learning technologies and development tools to create programs that have a measurable impact on changing behavior yet can quickly be created and delivered. 
• Willingness and flexibility to travel as needed 

Program Execution & Operations 

• Manage end-to-end program execution including scheduling, facilitator coordination, participant communications, and logistics – both virtual and in-person programs. 
• Deliver select training sessions; certify and manage internal/external facilitators and content developers. 
• Implement blended learning and change management approaches (virtual, in-person, self-paced, cohort-based community learning, spatial reinforcement techniques, and so on.) 
• Track program metrics: completion rates, satisfaction scores, behavior change, business impact 
• Partner with HR Business Partners, Talent Development and Inclusion, other HR teams, and functional business leaders across all WDC sites, to identify skill gaps, behavioral change needs, and involve them in designing solutions. 
• Collaborate with Diversity & Inclusion teams to embed inclusive leadership practices. 
• Align with Performance Management and Succession Planning processes. 

Stakeholder Partnership 

• Partner with HR Business Partners, Talent Development and Inclusion, other HR teams, and functional business leaders across all WDC sites, to identify skill gaps, behavioral change needs, and involve them in designing solutions. 
• Collaborate with Diversity & Inclusion teams to embed inclusive leadership practices. 
• Align with Performance Management and Succession Planning processes. 

Our client, a prominent Singapore-headquartered organization and a leading player in its field, is seeking an L&D expert to drive leadership development strategies focused on identifying, developing, and retaining high-potential talent.

Some of the key responsibilities will include:

• Design and implement leadership training programs that help employees grow and prepare for future roles.
• Work with external trainers to deliver effective leadership courses and ensure learning sticks.
• Use leadership assessments to identify skill gaps and create personalized development plans.
• Collaborate with senior leaders to develop training content that drives engagement across leadership levels.
• Manage the logistics of training programs and regularly review to keep them relevant.

To be eligible for this role you will require:

• Degree in Human Resources, or related discipline.
• At least 5 years’ experience in Learning & Development, especially in leadership or talent development.
• Training certifications like ACLP or ACTA are a plus.
• Good communication and teamwork skills.
• Strong analytical and problem-solving skills.

Please contact Lucy James by emailing your cv directly in word format with job reference no. JOB-16255 to lucy@theedgepartnership.com

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.

EA License Number: 16S8131
Recruiter License Number: R24125836

The Heterogeneous Integration Department at the Institute of Microelectronics (IME) is seeking a passionate and skilled Research Engineer or Senior Research Engineer to join our team. This role is pivotal in advancing state-of-the-art chip-to-wafer and wafer-to-wafer hybrid bonding processes, developing cutting-edge fabrication techniques for 2.5D and 3D packaging applications, and conducting electrical and reliability characterization. The position provides an exciting opportunity to contribute to groundbreaking technologies and collaborate with a dynamic team of researchers and external stakeholders.

Key Responsibilities

• Research and develop advanced fine-pitch flip-chip & hybrid bonding techniques for chip-to-wafer, emphasizing bonding parameter optimization and process enhancements.
• Interposer and Hybrid Bond pad fabrication for Flip Chip and Hybrid bonding applications
• Optimize Chip to wafer hybrid bonding processes, including the selection of low-temperature organic and inorganic bonding materials, surface preparation, and bonding methods.
• Conduct engineering experiments for process characterization to drive quality and yield improvements.
• Perform reliability characterization of flip-chip or hybrid-bonded packages to ensure robustness and long-term performance.
• Lead capability development projects with manageable risks and mentor less experienced colleagues.
• Collaborate with senior staff and principal investigators to develop process capability and new.
• Inspire and mentor talent in semiconductor technology, contributing to workforce development in the field.

Qualifications and Skills

Candidates should meet the following criteria:

• Educational Background: Bachelors in Materials Science and Engineering, Mechanical or Chemical Engineering, Electronics, Electrical and Computer Engineering, or a related field.
• Experience: 1 to 6 years of experience in microelectronic devices, circuits, and hybrid component integration, 2.5D/3D heterogenous integration applications.
• Technical Expertise: Hands-on experience in flip chip bonding is preferable
• Knowledge: Knowledge of hybrid bonding equipment technologies and bonding materials and methodologies, and reliability characterization is preferable, but not mandatory.
• Skills: Strong analytical and problem-solving skills. Proficiency in data analysis and interpretation and design of experiments.
• Excellent written and verbal communication abilities.
• Teamwork: Ability to work collaboratively in a research-oriented environment (OEMs, customers, and Internal stakeholders). Demonstrated ability to manage multiple tasks and projects simultaneously.
• Demonstrated expertise in heterogeneous integration, hybrid bonding, and advanced packaging processes.

What We Offer

• The opportunity to work on cutting-edge research in advanced packaging and heterogeneous integration.
• A collaborative and interdisciplinary work environment.
• Access to state-of-the-art facilities and resources.

Join us in shaping the future of semiconductor technologies and heterogeneous integration. Apply today!

We are seeking a highly skilled Machine Learning / AI Engineer to design, develop, and fine-tune AI models for a range of advanced applications, including video analytics, object recognition and detection, fraud detection, and multimodal generative AI leveraging large language models (LLMs).

Key Responsibilities

• Model Selection & Optimization: Identify, experiment with, and fine-tune state-of-the-art machine learning models for tasks such as video analytics, object recognition/detection, fraud detection, and multimodal generative AI.

• Deep Learning & LLMs: Work with transformer architectures, foundation models, and generative AI to develop and enhance multimodal AI solutions.

• Computer Vision: Develop and optimize models for real-time object detection, tracking, and recognition in video streams, ensuring performance in diverse conditions.

• Fraud Detection and other anomaly detection: Design and implement machine learning models for anomaly detection and fraud prevention using advanced statistical and AI techniques.

Technical Skills:

• Strong experience in deep learning frameworks such as TensorFlow, PyTorch, or JAX.

• Proficiency in computer vision techniques, including object detection (YOLO, Faster R-CNN), video analytics, and multimodal learning.

• Hands-on experience with LLMs, transformers (GPT, BERT, T5, CLIP, etc.), and multimodal AI for text, image, and video synthesis.

• Experience in fraud detection and/or anomaly detection using machine learning, pattern recognition, and risk modeling.

• Experience in AWS SageMaker for model training and deployment preferred.

• Familiarity with MLOps and deployment on cloud platforms (AWS and/or GCP preferred) or edge devices.

Preferred Qualifications:

• Degree in Computer Science, AI, Machine Learning, or a related field.

• 4 to 5 years of relevant experience

• Experience working with autonomous systems, robotics, or edge AI is a plus.

If the above role is a good fit for you, or if you know anyone who might be good for the role, please get in touch with an updated CV and I'll be in touch!

EA Reg Number: R1660446

EA License Number: 07C3924 

Company Registration No: 200609504D

We are looking for a motivated Research & Technical Support Engineer/Scientist to develop, maintain, and support BEOL furnace processes including BEOL metal anneal, barrier/liner engineering, dielectric curing, hydrogen anneals, and stress‑relief treatments. This role involves both fundamental materials science and hands‑on tool/process ownership in a cleanroom research environment. You will collaborate with R&D teams working on advanced interconnect technologies, photonic integration, 3D integration, and novel dielectric/metallization schemes.

Job Responsibilities:

BEOL Furnace Process Development

• Develop and optimize BEOL thermal processes including Metal anneal, Barrier/liner stabilization, Dielectric curing, Passivation and Stress‑relief anneals
• Perform tool qualification, recipe loading, chamber matching, SPC set up and contamination monitoring.
• Troubleshoot process excursions and ensure stable operations with high repeatability.
• Correlates anneal conditions with film quality, stress, adhesion, and reliability metrics.

Cross‑Functional Collaboration

• Work closely with teams in Photonic IC, Wide-Bandgap Devices, Packaging and reliability for process integration.
• Provide guidance for internal projects on thermal budgets, thermal‑stress implications, and BEOL process compatibility for novel materials and device architectures.

Job Requirements:

• Degree (Bachelor, or Master based on job scope) or above in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or related fields.
• 3 years of working experience in Semiconductor Fabrication is advantageous.
• Hands‑on experience with furnace processing, anneals, or BEOL‑related thermal steps is highly wanted.
• Knowledge of metallization physics, anneal passivation, interconnect reliability and dielectric curing.
• Understanding of thermal budget constraints and stress‑management in BEOL stacks.
• Hands-on experience in Design of Experiments (DOE), root cause analysis, and problem-solving methods is desired.
• Experience in Photonic IC, SiC devices, 2.5D/3D packaging and/or Wafer Bonding would be a plus.
• Proficiency with materials characterization tools, such as ellipsometry, XRD, XPS, TEM, SEM, stress measurement

We are looking for a motivated Research & Technical Support Engineer/Scientist to develop, maintain, and support BEOL furnace processes including BEOL metal anneal, barrier/liner engineering, dielectric curing, hydrogen anneals, and stress‑relief treatments. This role involves both fundamental materials science and hands‑on tool/process ownership in a cleanroom research environment. You will collaborate with R&D teams working on advanced interconnect technologies, photonic integration, 3D integration, and novel dielectric/metallization schemes.

Job Responsibilities:

BEOL Furnace Process Development

• Develop and optimize BEOL thermal processes including Metal anneal, Barrier/liner stabilization, Dielectric curing, Passivation and Stress‑relief anneals
• Perform tool qualification, recipe loading, chamber matching, SPC set up and contamination monitoring.
• Troubleshoot process excursions and ensure stable operations with high repeatability.
• Correlates anneal conditions with film quality, stress, adhesion, and reliability metrics.

Cross‑Functional Collaboration

• Work closely with teams in Photonic IC, Wide-Bandgap Devices, Packaging and reliability for process integration.
• Provide guidance for internal projects on thermal budgets, thermal‑stress implications, and BEOL process compatibility for novel materials and device architectures.

Job Requirements:

• Degree (Bachelor, or Master based on job scope) or above in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or related fields.
• 3 years of working experience in Semiconductor Fabrication is advantageous.
• Hands‑on experience with furnace processing, anneals, or BEOL‑related thermal steps is highly wanted.
• Knowledge of metallization physics, anneal passivation, interconnect reliability and dielectric curing.
• Understanding of thermal budget constraints and stress‑management in BEOL stacks.
• Hands-on experience in Design of Experiments (DOE), root cause analysis, and problem-solving methods is desired.
• Experience in Photonic IC, SiC devices, 2.5D/3D packaging and/or Wafer Bonding would be a plus.
• Proficiency with materials characterization tools, such as ellipsometry, XRD, XPS, TEM, SEM, stress measurement

As Singapore’s University for Industry, SIT works closely with industry partners 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. The primary responsibility of this position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: Signal processing combined with AI-based modification on speech signals. The need is for a real-time system, so efficient coding is important.

Key Responsibilities:
• Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met. 
• Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications.
• Deliver solution-ready demonstration code.
• Interact well within the team and the customers.
• Be self-directed to fulfil the project requirements.

Job Requirements:
• Competence in working with languages such as C along with AI applications as well as Python-based coding .
• Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous.
• Knowledge of machine learning, pytorch, huggingface etc...
• Knowledge of speech, audio, time-series or signal processing is required.
• Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI.
• Experience of authoring good quality academic publications.
• Manage undergraduate research assistants (if appropriate).
• Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China.

Key Competencies:
• A self-directed worker who believes in continuous learning and development
• Proficient in academic writing 
• Possess good critical thinking skills
• Show strong initiative and take ownership of work
• Interest in AI, machine learning, image/audio processing

Responsibilities:

Learning & Development

• Conduct training needs analysis to identify capability gaps in collaboration with management.
• Support and lead employee learning journeys, including onboarding and leadership development.
• Coordinate with external training providers and internal subject matter experts.
• Manage and maintain external learning platforms and employee training records.
• Evaluate training effectiveness through feedback, assessments, and performance outcomes.

HR Business Partnering

• Act as an HR partner to assigned business units, facilitating effective people management to achieve business goals.
• Offer guidance to managers on employee relations, performance management, and talent development.
• Oversee the full spectrum of HR functions, focusing on recruitment, onboarding, and exit interviews.
• Provide advice on HR policies and procedures to ensure adherence.
• Drive efficiency through process improvements within HR functions and workflows.
• Collaborate with department heads during organizational changes and transformation initiatives.

Other HR Initiatives

• Ensure HR practices align with relevant policies and regulations.
• Be prepared to support team members as needed and take on additional project work.
• Regularly update HR documents with relevant changes, such as standard operating procedures.
• Undertake any other assigned duties as required.

Requirements:

• Diploma or Degree in Human Resources or a related field.
• 4 years of HR experience with a focus on Learning & Development and HR Business Partnering.
• Strong communication and stakeholder management skills.
• Proficient in Excel.
• Experience in performance management and talent development.

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394 (Persol Singapore PTE LTD)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Persol Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistant/Engineer will be involved in field sampling of coastal and fresh waters as well as laboratory analysis of water quality. The data will be used to develop computer models for predicting microbial and chemical water quality. In addition to the above, the Research Assistant/ Engineer is expected to contribute actively in writing reports and research papers, presenting research updates and liasing with external parties.

Qualifications

• A Bachelor in Environmental Engineering or equivalent. 
• Experience in water quality/environmental modelling and/or experience in water quality analysis and environmental engineering is preferred.  

Responsibilities:

• Develop and optimize processes for SiC Device module integration, flows for SiC devices fabrication, focusing on process integration and yield improvement.
• Collaborate with cross-functional teams to design and implement process modules for SiC devices manufacturing.
• Conduct experiments, analyze data and refine processes to achieve targeted performance and yield.
• Troubleshoot and resolve issues related to device integration and process development.
• Document procedures, maintain details record, and standard operating procedures (SOP)

Job Requirement:

• Diploma, Bachelor’s or Master’s in Electronics Engineering, Materials Science, Physics, or related field.
• Proven experience (1-2 years) in semiconductor device module integration.
• Familiarity with cleanroom protocols and safety procedures.
• Knowledge of basic semiconductor unit processes such as PVD, RIE, ICP, etc.
• Ability to work effectively as a team as well as independently.
• Intern/working experience in semiconductor manufacturing/R&D Fab will be considered a plus.
• Strong communication and teamwork skills.

Key Roles and Responsibilities

• Develop and optimize CMP process for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Collaborate with process integration teams to drive CMP process development, optimization, and troubleshooting for both industrial and grant-funded projects.
• Own innovation strategy for CMP raw materials, slurry, methodologies, and approaches to enhance CMP uniformity, stability and defect performance.
• Provide technical support to fab teams in implementing and sustaining statistical process control (SPC) for CMP modules, ensuring consistent process performance.
• Prepare and deliver technical reports and presentations for both internal stakeholders and external customers, effectively communicating project progress and technical insights.

Job Requirements

• Bachelors/Master's degree in Electronics, Microelectronics, Materials Engineering, Chemical Engineering, Materials Science, Chemistry, Physics, or equivalent.
• Minimum 3 years of experience in semiconductor industry, preferably in CMP technologies.
• Hands-on experience with 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara) is highly desirable.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor platforms is advantageous.
• Hands-on experience with basic process characterization techniques such as DRSEM, Ellipsometry, and AFM is a plus.
• Strong skills in experimental design (DOE), data analysis, and process optimization.
• Good analytical and communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-motivated with a strong interest in advancing next-generation CMP applications and industry trends.

Job Responsibilities:

• Support developing and sustaining electroplating processes (Cu TSV/Damascene/ RDL/Pillar, UBM, micro-bump) in both R&D and small volume manufacturing environments.
• Support troubleshooting, root cause analysis for electroplating defects (e.g., voids, roughness, non-uniformity, adhesion issues).
• Design and perform DOEs to define process windows, characterize new requirements, and evaluate plating chemistries, technologies.
• Compile, analyse, and interpret test data to establish process specifications.
• Generate comprehensive technical reports for both internal teams and customers.
• Collaborate closely with senior engineers, process integrators, and cross-functional teams to align with technology roadmaps and process capability requirements.

Job Requirements

• Bachelor's or higher degree in Materials Science, Chemical Engineering, Chemistry, or related fields.
• Knowledge of electroplating process is a plus.
• Hands-on experiences in electroplating or related processes are preferred.
• Solid knowledge of experimental design (DOE), data analysis, and problem-solving methodologies (e.g., statistical analysis, root cause analysis).
• Excellent interpersonal, communication, and teamwork skills, with the ability to collaborate across disciplines.
• Self-motivated, resourceful, and capable of managing multiple priorities in a dynamic R&D setting.

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.

The Role

We are seeking a highly motivated and talented Research Fellow to join an exciting industry-funded applied research project within the Infocomm Technology cluster at SIT. This project addresses the critical challenge of enabling ultra-reliable low-latency communications (URLLC) with priority-aware offloading for public safety services.

The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials.

This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical systems.

Key Responsibilities

• Derive and analyse closed-form mathematical expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms.
• Design and develop robust Python APIs for edge-only, cloud-only, and edge-cloud computation offloading algorithms.
• Set up network testbeds integrating hardware, software, and communication protocols to validate edge-only, cloud-only, and edge-cloud computation offloading algorithms.
• Conduct rigorous simulations and live PoC trials to ensure computation offloading algorithms meets URLLC targets for public safety services.
• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.

Job Requirements

• A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related discipline.
• A strong theoretical foundation and research background in wireless communications and edge computing.
• Strong publication track record in top-tier conferences and journals in the areas of wireless communications, IoT, or edge computing.
• Demonstrated proficiency in software API and algorithm development of edge intelligence algorithms using Python.
• Knowledge of machine learning or reinforcement learning techniques is highly advantageous.
• Experience with theoretical wireless network modelling, particularly stochastic geometry or queuing theory, is highly advantageous.

Position Overview:

We are seeking an experienced Trainer (Retail & Development) to join our team. In this full-time position, you will be responsible for designing and delivering comprehensive training programs to upskill our retail staff, ensuring they are equipped with the knowledge and skills to provide exceptional customer service and drive sales.

What you'll be doing

• Developing and facilitating engaging training sessions on product knowledge, sales techniques, customer service, and other relevant retail topics
• Identifying training needs and designing customized programs to address skill gaps
• Facilitate in-store training sessions on weekdays during retail hours.
• Monitoring and evaluating the effectiveness of training initiatives, making adjustments as necessary
• Providing one-on-one coaching and mentoring to support the professional development of retail staff
• Collaborate with the HR and Operations teams to identify training needs and design customized modules.
• Collaborating with the management team to align training with the company's strategic objectives
• Monitor training effectiveness through feedback and KPIs to refine future programs.
• Maintaining training records and providing progress reports

What we're looking for

• Relevant qualification in a field such as Education, Human Resources, or Business
• Minimum 3 years of experience as a Trainer or L&D professional, preferably in the retail industry
• Excellent facilitation and presentation skills, with the ability to engage and motivate adult learners
• Strong understanding of adult learning principles and the ability to design effective training programs
• Proficient in data analysis and using metrics to measure training impact
• Excellent communication and interpersonal skills, with the ability to build rapport with employees at all levels
• Passion for learning and development, with a commitment to continuous improvement

Roles & Responsibilities

The Law Society of Singapore is seeking a passionate and proactive Executive Officer/Senior Executive Officer to join their Learning and Development Department. This role offers an exciting opportunity to contribute to the professional growth of our members through the development and management of Continuing Professional Development (CPD) activities.

Who you are:

· A proactive and passionate team player

· Comfortable working in a dynamic, fast-paced environment

· Adaptable and willing to pitch in where needed

Key Responsibilities

Operations and Programme Support

· Organise CPD activities to support the professional development of members

· Manage e-learning programmes and the Learning Management System (LMS) to ensure accessibility, functionality, and relevance for members, including user management, content updates, troubleshooting, and performance evaluation with recommendations for improvement

· Assist in the on-site/virtual management of events, ensuring smooth delivery and quality control

· Coordinate logistics, including venue arrangements, technology setup, and participant registration

· Support marketing initiatives for programmes, including creating promotional materials and simple video editing using Canva

· Maintain accurate records, documentation and databases for programmes, including budget planning, tracking and procurement processes

· Prepare reports and statistics, including financial reports with basic analysis, to support decision-making and programme evaluation

· Collate and summarise programme feedback to provide actionable insights for continuous improvement

· Reply to queries from members and public on programme and accreditation matters

· Ensure compliance with organisational policies and procedures in all operational activities

· Perform other administrative tasks as assigned

Requirements

· Possess a Bachelor’s Degree in any discipline

· Fluent in written and spoken English

· At least 2 years of relevant work experience in professional development training, project and event management or related fields

· Resilient, detail-oriented, problem solver, and a proactive team player with a cheerful disposition who enjoys interacting with people

· Able to multi-task and independently accomplish assignments within lean timelines

· Able to work confidently with members of the Judiciary and legal community

· Proficient in Microsoft Office applications, particularly Microsoft Word, Excel and PowerPoint

· Passionate about lifelong learning