Total 2,476 Education / Training job vacancies in New Jersey

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Scientist to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

The candidate will be joining the Antimicrobial Chemical Biology Lab, a newly established group in A*STAR ID Labs focusing on the development of synthetic antimicrobial compounds for potential therapeutic application against infection.

Research projects will encompass various tasks such as:

• Chemical synthesis
• In vitro antimicrobial activity testing
• Understanding mechanisms of action
• In vivo efficacy evaluation.

The candidate will be trained on project management and ideation of new studies aligning with the lab focus. They will also support the team in lab operation, safety oversight, and documenting experimental procedures and results.

Job Requirements

• Ph.D degree in microbiology, biomedical science, bioengineering, or any other related field
• Having background knowledge in AI and programming will be an advantage
• Highly motivated and passionate about scientific research
• Effective communication both verbally and in writing
• Team player
• Receptive and detail-orientated

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will work with the PI to research on 3D computer vision and publish in top computer vision and machine learning conferences. The research fellow shall also guide the PhD students in the research group towards on their research.

Job Requirements

• PhD degree in Computer Science or other closely related disciplines
• Excellent knowledge on 3D Computer Vision: Neural Fields, Point Cloud Processing, Scene Understanding, Human/Animal Pose and Shape Estimation
• Strong publication record in the top computer vision and/or machine learning conferences (CVPR/ICCV/ECCV/ICML/NeurIPS/ICLR)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow will research on statistical learning problems.

Qualifications

• PhD in computer science or a related area
• Strong mathematical ability

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant / Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Enhancing Enterprise Cybersecurity through Detection Engineering, Cyber Threat Intelligence, and Cyber Digital Twins. He/she should possess experience or interest in at least one of the following research areas:

• Algorithms & Theory
• Artificial Intelligence
• Operational Technology
• Database
• Abnormalities Detection
• Programming Languages & Software Engineering
• Security
• Systems & Networking

Qualifications

• A Bachelor/Master degree in a relevant area;
• Good publication record; and
• Experience in research.

COMPANY DESCRIPTION

MINDS has been caring for Persons with Intellectual Disabilities (PWIDs) and their families since 1962.

Grounded in the belief that all PWIDs have innate abilities and talents, MINDS is committed to empowering them and enhancing their quality of life, while advocating for greater inclusivity for PWIDs as a nation.

MINDS is today one of the largest charities in Singapore employing more than 850 staff. With the key focus to expand community-based services, improving the employability of PWIDS, strengthening education, and engendering inclusive community living, MINDS offers a holistic range of services and programmes across the PWIDs’ lifespan.

These include schools, employment and training development centres, home-based care services and community-based services to cater to the physical, psychological, environmental and social needs of PWIDs. For more information, please visit www.minds.org.sg.

RESPONSIBILITIES

To perform the tasks of teaching, training, supervising, maintaining and developing the functioning level of client to function adequately and independently in the areas of Activities of Daily Living, Community Living, Social and Recreational Skills.

Please watch this recruitment video to find out more about the role of Training Officer - https://bit.ly/3fHXuvv

Client Engagement & Development

• To meaningfully engage, teach, train, supervise, maintain and develop the functioning level of clients to function adequately and independently in the following areas:

• Activities of Daily Living
• Home Living Skills
• Community Living & Mobility Skills
• Social and Recreational Skills
• Work Readiness Skills

Client/Trainee Management & Development

• Formulate and implement Individual Learning Programme (ILP) through professional assessment
• Engage in continuous assessment, training and evaluation of trainees’ holistic development
• Plan and Implement appropriate group activities
• Plan, implement and monitor trainees’ security and safety procedures

 Support Allied Health Professionals

• Monitor and implement programmes designed by Allied Health Professionals in the area of health fitness & wellness programme, motivational & behaviour management plans as well as sensory awareness
• Communicate critical information to Social Worker and Centre Manager

 Administrative & Operations

• Support unit operational and logistics management
• Ensure centre/trainees safety and security
• Update of  clients’/trainee’s daily attendance and participation in activities, events and programmes in various client management system platforms
• Engage in caregiver dialogue sessions, home visits and maintain good rapport and communication with parents / caregivers
• Attend staff meeting and training as required

 Event Management

Staff will be assigned to oversee at least one of the following duties and will provide assistance to the other staff when required:

Camp, Festive Celebrations, Sports Events, First Aid & Medicare, Evacuation & Emergency Planning Team, Transport Duties, Staff Welfare and others

• Organise internal/external events and activities for trainees
• Support volunteer engagement events
• Support public education activities
• Support MINDS events at organisation level

• Minimum O levels
• NITEC Certificate in Community Care & Social Services (ITE)
• Certificate of Special Needs Education (MOE)
• Diploma of Special Education (MOE)
• Diploma in Disability Studies (SSI)
• Diploma of Community Services (SSI)

• Computer literacy skills MS Word, Excel and PowerPoint
• People-oriented team player
• Good interpersonal and communication skill
• Passion and great deal of patience to work with people with intellectual disabilities

A*STAR Infectious Diseases Labs (A*IDL) is seeking for a Research Scientist to join us in our mission to to be a leading centre for infectious diseases research excellence in antimicrobial resistance, respiratory and vector-borne diseases. A*ID Labs brings together infectious diseases expertise from across multiple disciplines to drive cutting edge translational infectious diseases research to contribute to Singapore’s national preparedness.

You will be joining the Mucosal Infection Lab. The lab focuses on modelling mucosal infection using in vitro and in vivo systems with priority antimicrobial resistance (AMR) bacteria to understand disease pathogenesis. Specifically, the projects will involve dissecting the mechanisms in the gut-liver axis during bacterial induced pyrogenic liver abscess. Candidates with prior experience working with liver diseases and single-cell RNAseq are preferred.

Job Responsibilities:

• Basic molecular and protein assay including PCR and ELISA
• Small animal infection with AMR bacteria (Klebsiella pneumoniae and E. coli)
• Small animal microbiome colonization models
• In vitro infection assay using AMR bacteria and microbiome.
• Immune profiling in the tissues of infected animals
• Lab safety and housekeeping
• Routine administrative duties and budget/spending management of the lab

Job Requirements:

• PhD in Biomedical Sciences, Life Sciences, Infectious diseases, Immunology or related field.
• At least 1 year of relevant experience
• Good spoken and written communication skills
• Experience working with liver diseases
• Background with single cell RNAseq
• Competency in bacterial culture, cell culture, flow cytometry and basic microscopy will be advantageous but not strictly required.
• Basic knowledge in bioinformatics will be advantageous.
• Comfortable working with small animal models

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

We are seeking a talented and ambitious candidate to join our team in developing next-generation quantum sensors. The project focuses on creating a mesoscopic-scale "artificial atom" through superconducting levitation of a ferromagnetic particle. This levitated, freely precessing particle represents a system of correlated spins, capable of rapidly averaging quantum uncertainty. By leveraging this system, we aim to develop quantum sensors with sensitivities surpassing the standard quantum limits.

This position is based in A*STAR Quantum Innovation Centre (Q.InC). The successful candidate will contribute to a range of innovative activities, including:

Key Responsibilities:

• Development of high-performance sources to generate squeezed light.
• Characterizing the squeezed light.
• Modeling the dynamics of the levitated particle
• Microfabrication of the particle, silicon pocket, and superconducting materials
• Develop a hybrid motion tracking system integrating SQUID technology with squeezed light techniques.

Requirements:

• Ph.D. in Physics, Applied Physics, Precise Instrumentation, or related fields
• Strong motivation for multidisciplinary research
• Prior experience in superconductivity and/or quantum sensing is highly preferred
• Proficiency in programming languages such as Python or MATLAB
• Strong teamwork and communication skills

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

Overview of role

In this role, you will effectively manage others and collaborate cross functionally to deliver critical innovations across multiple projects. You will lead your team to deliver projects and/or capability building innovation to the business. You will also have responsibility for delivery of technical rigor and mastery in your organization. If this sounds exciting to you, read on!

Your team
You will be working with a global team of technical experts while being close to commercial leaders via the Singapore Innovation Centre. You will receive guidance and coaching from Senior Directors on a regular basis.

Key Responsibilities

• Proactively partnering with R&D leaders and teams to create & deliver programs and projects against their toughest business and innovation challenges.
• Have ownership of significant deliverables for a project/ program. Responsible for determining priorities, defining the work, and setting expectations to deliver against the business and R&D/project/program objectives.
• Define and solve business needs and problems of considerable scope by integrating knowledge, intuition, and continued hands-on, in-the-lab experimentation as needed.
• Set and re-adjust project direction and approach as new learning becomes available.
• Integrate internal and external innovation capabilities to resolve problems and deliver superior results.
• Role model a “People First” inclusive and respectful

Qualifications

• Bachelors or Masters degree in Science or Engineering fields
• 8+ years’ FMCG or relevant Innovation experience: envisaging, developing and delivering innovation to meet consumer needs and grow the business
• Experiences in applying the science in actual product innovation/ commercialization.
• Proven technical mastery and problem solving: including business, consumer and technical problem (re)definition, hypothesis development and learning plan delivery – leading to successful business outcomes and growth.
• Strong on acquiring up-to-date external information and working with external partners, integrating big amount of information into data-based insights & recommendations.
• Having an ability to envisage the future while finding the common ground and matching the external possibilities with internal needs, to create the joint vision and deliver the end business outcomes.
• Posses excellent international and interpersonal communication and influencing skills for internal and external relationship building and collaborations.
• Proactive & collaborative leadership and highly self-motivated to work across multiple internal and external organizational boundaries whilst maintaining a focus on the consumer and business outcome.

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.Visit http://www.pg.com to know more.Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

Responsibilities:

• Engage and manage various stakeholders (internal and external) expectations and communication.
• Collaborate with functional teams to conduct cleanroom/facility planning and layout
• Carry out physical area/ floor marking, coordinate with functional teams in tool purchase, movement (in/out), tool relocation plan, project timeline and capacity update.
• Perform risk analysis of various project options and outcomes
• Maintain and validate capacity/capital/space models to enable accurate assessment of wafer fabrication and operations loading needs
• Support operational efficiency improvement efforts (cycle time, OEE improvement, capacity optimization, space optimization)

Requirements:

• Degree in Engineering (Industrial & Systems Engineering), Mechanical, or relevant field;
• Proficient in AutoCAD 2D/3D and Simulation Tool preferred
• Proficient with Microsoft Words, Excel and PowerPoint proficiency
• Preferably to have industrial engineering experience in a semiconductor/ manufacturing environment
• Ability to work independently and team player to deliver in fast paced and collaborative environment

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Job duties and responsibilities :

• Oversee and manage all Singapore Chinese Health Study genetic data hosted on GIS RAPTOR platform.
• Coordinate data extractions and data transfer for the Singapore Chinese Health Study.
• Manage design, develop, verification and validation activities for appropriate genetic data storage and analysis.
• Execute large-scale genetic evaluations for ageing biomarkers and age-related traits and outcomes with the Singapore Chinese Health Study dataset.
• Coordinate data harmonization with key collaborators to enable larger scale data analysis.
• Maintain proper logs and filing for all project documents and records.

Job requirements :

• Proficiency in large-scale genomics evaluations.
• Proficiency in cloud computing, unix based computational platforms.
• Excellent communication and collaborative skills and ability to work as part of a larger team.
• Meticulous in delivering and documenting tasks with appropriate computational tools.
• Well acquainted with basic molecular biology techniques including qPCR and NGS
• PhD in genomics, computational biology or related fields.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Faculty of Arts and Social Sciences (FASS) at the National University of Singapore (NUS), invites applications for the position of Research Assistant/Associate. The successful applicant is expected to commence duties at NUS in January 2024, or as soon as possible thereafter.

This position is connected to a research project titled, “Relocation, Social Networks and Housing Aspirations in Ageing Public Housing”. The research focuses on homeowners’ decision making towards housing relocation. The research team will primarily use ethnographic and interview methods in the research, combining these with a small-scale survey, GPS tracking and GIS visualisations for analyses.

The project team consists of Principal Investigator (PI) Professor Elaine Ho (Department of Geography), Co-PI Associate Professor Vincent Chua (Department of Sociology and Anthropology) and Collaborator A/P Feng Chen-Chieh (Department of Geography).

Scope and responsibilities

The RA will provide administrative support to the Principal Investigator for large grant management and liaise with the project team members or external parties on such matters. There will be opportunities to be involved in empirical research and/or data analyses that are central to the project.

Qualifications

Applicants are expected to hold at least a Second Class Honours (Upper Division) or an equivalent honours degree, or a Master’s degree in the Social Sciences.

Competencies

• Willingness to learn about and work with researchers using mixed methods; prior experience of working with mixed methods will be an advantage
• Excellent writing and strong communication skills in English, including an ability to present research in both academic and non-academic venues
• Curiosity and passion to explore new concepts, methods and technologies, and capable of identifying and quickly learning the most suitable tools for the research on the go
• A good team player and the ability to multitask effectively
• Excellent organization and interpersonal skills
• Basic computer knowledge and core Microsoft Office skills
• Prior experience in large grant management will be an advantage
• Skills in using qualitative analysis software will be an advantage
• Skills in one or more of the following languages for carrying out research interviews is required if the participant does not use English: Mandarin and/or Chinese dialects used in Singapore (e.g. Hokkien, Cantonese, Teochew or Hainanese); Malay or Tamil.

Application

Informal enquiries may be made to Professor Elaine Ho (elaine.ho@nus.edu.sg). Please include a covering letter, full CV and 3 letters of recommendation in your application.

This is a 6 months contract which can be extended according to performance.

Shortlisted applicants may be called for interview, either in person or by Zoom, as appropriate.

Application deadline: 2 weeks from the time of advertisement.

Principal Scientist for Advanced Photonics and Flat Optics Process Integration

The candidate will take the lead for the development of advanced photonics and flat optics integration. This could include but not limited as photonic integration, photonic heterogeneous integration, multi-layered flat optics integration, electro-photonics integration, etc., with various materials. The candidate will work closely with an excellent multidisciplinary and high-industry driven team involving photonics, semiconductor process, and fab operation.

Responsibilities:

• Development of various photonics integration process with 8-inch and 12-inch fabrication facilities, including such as photonics heterogenous integration and flat optics integration.
• Design of Experiments (DOE) for both design and process margin checking and process control.
• Baseline integration process development and standardization for both photonics heterogenous integration and flat optics integration.
• Lead the inline defect analysis and process DOE towards yield improvement.
• Lead the inline process metrology data taking and analysis, device / circuit performance data taking.
• Data analysis and documentation.
• Preparation of technical presentations and papers for internal meetings, as well as conferences and journals.
• Collaborate with project team to ensure quality and on-time delivery for various projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent.
• Strong hands-on experience in CMOS or Photonics integration.
• Minimum 10 years working experience on commercial foundries or equivalent.
• Minimum 10 years project and team management skill.
• Strong communication, industry awareness, and problem-solving skills.
• Strong self-motivation and interest in the next-generation advanced photonics technology and product development.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, resourceful, meticulous and professional individual.
• Lead in plan, sourcing and initiate - raise purchase requests accordingly to day-to-day materials / spare parts requirements to ensure stock adequacies, required to ensure smooth Fab operations.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time (include coordination of shipments etc. with forwarders when required etc.)
• Provide good supports on logistics and inventory movements required to enable smooth FAB cleanroom operations.
• Excellent interpersonal skills and communication skills so to work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.
• Self-starter with strong ability to work with own initiative under minimal supervision.
• Process strong sense of customer service mind-set and teamwork.
• Strong flexibility and ability to handle multiple requests from across teams.
• Good communication, analytical, problem-solving skills.
• Put-up good initiatives to move forward towards systematic inventory digitalization.
• Ability to work in a multi-task environment and perform other duties assigned by Department Managers.

Experience:

• Education: Diploma in engineering discipline. Preferably in procurement, supply chain logistic/ warehouse operation.
• At least 3 years of related semiconductor engineering experiences; with good wide contacts with semiconductor material suppliers, equipment vendors.
• Relevant experience in analytics or strategic reporting will be an advantage.

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 Centre for Computational Social Science and Humanities (CSSH) is seeking a Research Associate to join our collaborative team and advance computational research in the social sciences and humanities.

Position Overview

As Research Associate, you will design and implement high-quality, sustainable software to drive research in computational social science and humanities. You will collaborate with CSSH management, faculty and external partners to translate research priorities into software solutions, including data analysis, model implementation, and tool development. Your expertise in computational methods and machine learning workflows will be crucial in advising scholars and contributing to research outputs. This full-time position is based in Singapore.

Key Responsibilities

• Develop, test, and maintain research software using best practices in software engineering
• Implement and optimize machine learning workflows for social science and humanities research
• Manage multiple projects and priorities effectively
• Contribute to research articles and presentations
• Help train graduate students and run master classes
• Promote CSSH’s work within the broader computational social science and digital humanities communities

The successful candidate will play a crucial role in advancing computational research in the social sciences and humanities at the National University of Singapore. We seek an individual who can bridge technical expertise with domain-specific knowledge related to the key themes of the centre to drive innovative research outcomes. The themes are: 1) computational models of social behaviour; 2) digital platforms and ecosystems; 3) health and social care; 4) social media, networks, and interactions; 5) texts, heritage and culture.

Only shortlisted candidates will be notified.

Job Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Computational Social Science, Digital Humanities, or a related field
• Strong programming skills and experience, particularly in Python, with expertise in machine learning libraries and frameworks
• Demonstrated experience in implementing and optimizing machine learning workflows
• Experience with data gathering, processing, and analysis from diverse sources and formats
• Strong project management skills and ability to handle multiple priorities
• Excellent communication skills to collaborate with researchers across disciplines

Preferred

• Experience in computational social science or digital humanities research
• Experience contributing to open-source projects