Total 3,045 Education / Training job vacancies in Letchworth Garden City, Hertfordshire

Who we are:
We are a leading operator in Australia and New Zealands fast-growing Out Of Home advertising industry and our purpose is to make public spaces better! As an ASX listed company with 800 team members, we create deep engagement between people and brands through Unmissable location-based media solutions that inform, entertain, and inspire. Our network is unparalleled, with a diverse portfolio of 37,000 classic and digital signs across roadside, retail, airport and place-based media offering in CBD office towers and universities. 
Our culture:
Join an organisation united by drive, creativity, innovation, and community. We show up and we are all here to be bold, to be brave and to push the boundaries in Out Of Home advertising. United by our commitment to imagination, you will have the opportunity to collaborate with diverse, talented, and dedicated colleagues across Australia and New Zealand who are all passionate ... Click here to view more detail / apply for Senior Machine Learning Engineer

About Tagarela Intercâmbios: Tagarela Intercâmbios is a distinguished education agency, facilitating enriching educational journeys for international students aiming to study in Australia. With dynamic offices across Australia and Brazil, we specialise in bridging the gap between esteemed educational institutions and international students, ensuring a seamless integration into Australian educational and cultural life.

Position Overview: We are seeking a dedicated Education Sales Analyst to join our vibrant team. The ideal candidate will possess strong analytical skills, experience in data management, and a passion for enhancing educational opportunities for international students. Your role will be pivotal in shaping our marketing strategies and student recruitment initiatives, utilising data-driven insights to drive growth and student satisfaction.

Key responsibilities:

- Analyse sales data and market trends to identify potential growth opportunities in international student enrolments, leveraging this analysis to develop focused strategies that can effectively expand the agency’s market share within the educational sector.
- Streamline the management of student information databases to ensure they are up-to-date and accurately reflect student needs and preferences, enabling more personalised marketing strategies and enhanced student engagement.
- Generate concise reports and strategic recommendations on academic course offerings by closely assessing student demographics and preferences, which will support decision-making processes and ensure course offerings are well-aligned with market demands.
- Provide targeted advice on the development and refinement of business strategies, using data-driven insights to enhance student recruitment and retention, focusing on improving outreach and conversion rates within manageable, scalable activities.
- Facilitate collaboration with a select number of educational institutions in Australia and branches in Brazil to gather insights and data, ensuring offerings are tailored to the specific needs of international students and marketed effectively within those regions.
- Utilise data analytics tools to interpret manageable datasets, providing actionable insights that directly support tailored communication and engagement strategies aimed at boosting student interest and enrolment.
- Contribute to the formulation of practical and compliant policies that support the agency’s goals and adhere to educational and immigration regulations, enhancing the agency’s reputation and operational efficiency without overextending resources.
- Assist in the design and implementation of streamlined organisational methods that improve the efficiency and effectiveness of the agency, with a particular focus on enhancing sales and marketing functions.
- Support the marketing team with focused, data-driven insights that inform digital marketing campaigns and promotional activities targeted at potential international students, aiming to maximise the impact of each campaign given the limited resources.
- Coordinate efforts across the Australian and Brazilian offices to ensure a unified approach to student recruitment and service delivery, implementing streamlined processes to maintain a high standard of student support and satisfaction without unnecessary complexity.


Qualifications:
• Bachelor’s degree in a related field
• Fluent in both English and Portuguese, essential for effective communication across our diverse operations.
• Over 2 years of experience in data analysis, sales analysis, or a similar role.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Familiarity with CRM systems and database management.
• Ability to handle multiple projects simultaneously and meet deadlines.

Salary:
AUD 70,000 to 75,000 + Superannuation

Why Join Us? At Tagarela Intercâmbios, you’ll be part of a team that values innovation and student success. We offer a supportive work environment where you can truly make a difference in the lives of international students. Enjoy competitive compensation, opportunities for professional growth, and the chance to work with a diverse and dynamic team. Tagarela Intercâmbios is an equal opportunity employer committed to diversity and inclusion in the workplace.

Are you a passionate and dedicated English Teacher seeking a rewarding opportunity?
Our client is a prestigious independent boys school and is renowned for its commitment to academic excellence. They are dedicated to developing critical and creative thinkers who are resilient and passionate about learning. For staff, the school provides a supportive environment with a focus on professional learning.
Frontline Education are seeking an enthusiastic and innovative English Teacher for a prestigious independent boys school on Sydney's Lower North Shore
The Role * Full time, Permament * ASAP Start
The Successful Candidate will; * Be registered with NESA (or have the ability to obtain) and hold a current working with children check * Full working rights for Australia * Have experience in advanced and extension courses
Benefits for you;
* Extensive internal and external professional development * Gym onsite and showering facilities * Close ... Click here to view more detail / apply for Secondary English Teacher

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 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 Automotive Vulnerability. The position involves the development of testbeds, research electric vehicle charging’s app, pen-testing, tampering, and other security threats. He/she should possess experience or interest in at least one of the following research areas:

• Cyber Security
• Artificial intelligence
• Machine learning

Qualifications

• A Bachelor degree in a relevant area (Master degree is a plus);
• Ability to work in a team; and
• Good oral and written communication skills in English.

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.

SIT-NVIDIA Joint AI Center is a new initiative launched between SIT and Nvidia that aims to help local companies with AI transformation and adaptation by leveraging advanced AI technology such as the foundation and Generative AI models, LLM, RAG, NLP, CV, etc. SIT invites applications for the position of Research Engineer at the SIT-NVIDIA Joint AI Center. This role offers an exciting opportunity for individuals to engage in innovative AI research that connects academic insights with industrial applications. Ideal candidates will have a background in developing AI solutions and a proven track record in research and / or AI development experience.

Key Responsibilities

1. Research Development and Implementation
• Assist in designing and executing AI research projects that meet both academic and industry standards.
• Develop, test, and optimize AI prototypes and simulation models using modern technology stacks.
• Adhere to SIT’s rigorous operational guidelines and ethical standards in all research activities.

2. Technical Support and Collaboration
• Provide robust technical support to the team, aiding in data analysis, software development, and system troubleshooting.
• Collaborate closely with engineers and researchers from NVIDIA and other industry partners to enhance AI model accuracy and utility.
• Contribute to technical documentation and project reports, ensuring thoroughness and accuracy.

3. Knowledge Dissemination and Training
• Help prepare materials for scholarly publications and presentations at academic and industry conferences.
• Facilitate the training of students and new team members on AI technologies and project protocols.

4. Project and Resource Management
• Assist in managing project timelines and resources, ensuring projects progress smoothly and efficiently.
• Identify potential technical challenges and participate in strategic planning sessions to address them effectively.

Job Requirements

• Bachelor’s or Master’s degree in computer science, data science, data analytics, AI, or related fields.
• Hands-on experience in machine learning, deep learning, or related AI methodologies, preferably with a focus on industrial applications.
• Proficiency in programming languages such as Python, and C++, and familiarity with AI frameworks like TensorFlow or PyTorch.

Key Competencies

• Experience with NVIDIA’s hardware and software ecosystems.
• Excellent problem-solving skills and a collaborative spirit.
• Strong communication skills, capable of conveying complex information clearly and engagingly.

Application Process

Candidates should submit a resume, cover letter detailing research achievements publication history, and references to the SIT career portal. Additional documents such as a research portfolio or evidence of previous project work may also be submitted.

Contract period: 5 weeks contract (27 May to 28 Jun 2024)

About us

• Friendly working environment
• Centre open only on Mon-Fri (no work on Sat)
• Location: Clementi Central (Walking distance from Clementi MRT Station)

Job Description

• Work with in delivering programme to infants (up to 18 months old)
• Conduct lessons in accordance to company's and ECDA's policies, guidelines and framework
• Prepare age-appropriate teaching-aids
• Create a safe, pleasant, conducive and engaging environment
• Undertake operational duties in compliance to industry regulations
• Conduct routine care for children

Key Requirements

• Applicable to Singapore Citizens and Singapore Permanent Residents
• Passionate, creative and inspiring individuals with positive energy
• Excellent communication skills
• Able to work independently and as a team player

Interested candidates may email your updated resumes with latest photograph, employment history, educational qualification, preferred working location, earliest start date and expected salary to clementi.sunflower@gmail.com.

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 (NUS) is offering a position for a postdoctoral fellow who will work closely with Dr. Vincent Tan in online machine learning (reinforcement learning, multi-armed bandits).

Each position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical engineering, computer science, or applied mathematics and a strong publication record in machine learning.

The candidate will work closely with Dr. Vincent Tan and will use the postdoctoral stint to develop a strong research profile that will enable him/her to find a good faculty position after the postdoctoral stint.

Salary will be extremely competitive and will be commensurate with the candidate abilities, potential, and track record.

Applicants should submit a detailed CV to Vincent Tan at vtan@nus.edu.sg. If shortlisted, applicants should also arrange for at least two to three letters of reference to be sent to the same address.

Qualifications

• PhD in Electrical Engineering, Computer Science, or Applied Mathematics
• Open to Fixed Term Contract

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.

Qualifications

• At least a Master’s degree in Malay as a Foreign Language.
• Experience in teaching Malay, preferably in higher education institute.
• Skills/knowledge/experience in online teaching as well as the application of IT to language teaching is preferred.

Job Description

• Teach Malay as a foreign language (Weekday/Weekend)
• Prepare and conduct lessons (in-person, or when necessary, online)
• Mark all coursework and assessments
• Prepare class materials
• Attend the Malay teaching staff meetings
• Perform other duties as assigned from time to time

More Information

Application Documents (in English)

• At least a Master’s degree in Malay as a Foreign Language.
• Cover letter
• CV
• Copies of educational certificates
• Student feedback on teaching delivery.

Submission

Please submit the above-requested documents in a single PDF file in this portal. Shortlisted applicants will be invited to attend an interview and give a teaching demonstration. Only Singapore Citizens / Singapore Permanent Residents can apply. Shortlisted applicants will be invited to attend an interview and give a teaching demonstration.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.Explore the link provided to learn additional details about the available job opportunity:

https://career44.sapsf.com/sfcareer/jobreqcareer?jobId=24432&company=nationalunP2

Responsibilities:

• Teach English to International students
• Prepare students to sit for AEIS/S-AEIS, GCE "O" Level Examination and English classes for foreign students
• Preparation for lessons including lesson planning and supplementary materials
• Lesson delivery, grading and administration related to the programme allocated
• Strong student engagement ability
• Have ability to used variety of teaching methodologies to truly inspire students towards learning
• Team players and participate actively in the Institute overall directions and administrative duties

Requirements:

• Diploma or above, minimum 1 year of teaching experience
• Previous teaching experience in International schools / Singapore Government Schools is a definite advantage; understand Primary and “O” level syllabus is a definite advantage
• Candidates with TESOL/TEFL/CELTA/PGDE Certificates and/or a B.A /Masters in English, and/or IELTS/TOFEL Result Reports are added advantage

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 SIT-NVIDIA Joint AI Center represents a collaborative effort between SIT and Nvidia to support AI integration within local businesses, utilizing cutting-edge AI technologies, including foundational and Generative AI models, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), Computer Vision (CV), and more. SIT is currently on the lookout for 4 Research Fellows to contribute to the Joint Centre. This position offers the chance to partake in pioneering AI research as part of a partnership between academia and industry.

Key Responsibilities

1. Research Execution and Management
• Develop and lead AI projects that integrate modern technologies, aimed at industry-relevant applications.
• Ensure all research activities are compliant with SIT’s ethical standards and operational policies.

2. Collaboration and Networking
• Work closely with NVIDIA and SIT researchers to foster technological exchange and innovation.
• Build partnerships with industry stakeholders to align research projects with market needs and opportunities.
• Participate in networking events to enhance the visibility and impact of research outcomes.

3. Publication and Dissemination
• Produce high-quality research publications for academic conferences/journals and industry white papers.
• Present findings at international conferences, workshops, and industry forums.

4. Mentoring and Leadership
• Mentor graduate students and junior researchers, promoting skill development and professional growth.
• Lead by example in fostering a culture of academic excellence and integrity.

Job Requirements

• PhD in n Computer Science, Artificial Intelligence, Computer Vision, Natural Language Processing, or allied disciplines is required. Preference will be given to candidates with expertise in Large Language Models, as well as the fine-tuning and customization of AI models.
• Proven record of AI research and applications, as demonstrated by publications, patents, or software developments.
• Strong technical proficiency in AI modeling, computational tools, and programming languages relevant to AI research (e.g., Python, CUDA).

Key Competencies

• Experience working in collaborative environments, especially involving industry and academia.
• Demonstrated ability to manage complex projects and multidisciplinary teams.
• Strong communication skills, capable of engaging both technical and non-technical audiences.

Application Process

Applicants are required to submit a CV, cover letter, detailed research proposal, and references to the SIT recruitment portal. Please indicate your potential start date and include any relevant work samples or publications.

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 candidate will work on spent battery materials recycling project. Together with other team members, the candidate will focus on the engineering development of an integrated electrolyzer system for automated recycling of battery black mass.

Qualifications

· Interested candidate should have a Bachelor’s or Master’s degree with at least 2 years’ relevant work experience, and good knowledge/ background, skills and expertise in Engineering or relevant field

· We seek highly motivated candidates who have extensive hands on experience in flow battery or fuel cell system fabrication, integration and testing.

· The candidate is also expected to be able to work with others in a multi-discipline research team, write report and present progress.

· The candidate should have fluent verbal and written communications

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 English Language Communication (CELC) at the National University of Singapore (NUS) prepares its undergraduate and postgraduate students for higher education and the workplace by equipping them with academic communication, professional communication, and other 21st century skills. CELC offers courses that range from basic academic literacy courses to academic writing, critical thinking, and professional communication courses. It also runs undergraduate writing programmes (e.g., Ideas & Exposition) that adopt the ‘content and language integrated learning’ (CLIL) approach. CELC therefore plays a significant role in fulfilling NUS’ mission “to educate, inspire and transform”.

CELC invites applications for the following full-time non-tenure educator track teaching position.

Position of Instructor

Applicants for the position of instructor must meet the first of the following selection criteria:

1. A master’s or doctoral degree in the field of English language, linguistics, applied linguistics, rhetoric and composition, communication studies, science communication, or a related field

OR
A master’s or doctoral degree in a non-language related academic field, e.g., humanities, social sciences, business, or STEM, with an aptitude for or interest in teaching academic writing or professional communication.

2. Some teaching experience, especially in higher education, will be viewed favourably.

How to apply (position of Instructor)
If you meet the selection criteria for the instructor position, we invite you to submit a complete application with the following items compiled as a single document:

1. A cover letter that addresses the selection criteria.

2. A curriculum vitae detailing (in the given order):
a. Tertiary academic qualifications and the year of award for each degree.
b. Employment history (last three years).
c. Courses or areas taught.
d. Other relevant information.
e. Current and expected salaries (in SGD).
f. Names and contact details of three (preferably academic) referees.

3. A teaching statement on your teaching philosophy and how you intend to develop yourself as an educator (800 words).

4. A research statement on your research interests and plans (800 words).

5. Student and peer evaluations of your teaching from the last two years (if any).

Applications with missing items may not be processed.

Other Information
The starting salary will be commensurate with the applicant's qualifications and experience. Successful candidates will commence work in July or December.

Because of the sheer number of applications, CELC regrets that only shortlisted candidates will be notified. Candidates who applied in the last two years need not reapply unless there have been significant developments in their teaching qualifications or experience.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking an experienced Analog Signal Processing Engineer to join our team. As an Analog Signal Processing Engineer, you will be responsible for designing, implementing, and optimizing analog signal processing systems, including those for acoustic signals such as heart and lung sounds. Your expertise in signal conditioning and processing, noise analysis and reduction, microphone electronics, low signal amplifiers, and acoustic signal processing will be crucial in developing high-performance analog circuits and systems.

Responsibilities:
• Designing and implementing analog signal processing circuits and systems for signal conditioning, noise reduction, low signal amplification, and acoustic signal processing, including heart and lung sounds.
• Conducting noise analysis to identify and mitigate noise sources in analog systems, specifically related to acoustic signals.
• Optimizing the performance of microphone electronics for enhanced acoustic signal quality, including heart and lung sounds.
• Collaborating with cross-functional teams to integrate analog signal processing systems into flexible electronic systems, with a focus on acoustic applications such as heart and lung sound analysis.
• Testing and validating analog signal processing systems to ensure they meet the required specifications and performance criteria for both general and acoustic signals, including heart and lung sounds.

Qualifications

• Master's degree (or higher) in Electrical Engineering, Electronics, or a related field, with at least 10 years’ relevant work experience, and good knowledge, skills and expertise in relevant field.
• Proven experience in analog signal processing, signal conditioning, noise analysis, low signal amplifiers, and acoustic signal processing.
• Strong knowledge of analog circuit design principles and techniques.
• Familiarity with microphone electronics and their specifications, particularly in the context of acoustic applications
• Ability to work independently and in a team, demonstrating excellent problem-solving skills.
• Effective communication and collaboration skills.

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 Fellow will be responsible for undertaking in-depth research and innovation in data science, machine learning, artificial intelligence and big data that lead to publications in top-tier international conferences and journals, as well as real-world implementations. He/she will be working closely with the Principal Investigator and lab members on one or more research projects with external collaborators on interesting and challenging real-world datasets and problem statements.

Responsibilities:

• Develop and implement new concepts and algorithms in data science, machine learning and artificial intelligence
• Research and be up-to-date on state-of-the-art methodologies in related technical fields and application domains
• Develop ideas for application of research outcomes
• Contribute to knowledge exchange and knowledge transfer activities with external partners and collaborators
• Writing or contributing to publications for disseminating research findings
• Make demos and presentations for exhibiting work at appropriate events.

Requirements

• A PhD in Computer Science or equivalent, with specialization related to data mining, machine learning, artificial intelligence or databases;
• Computational thinking with proven ability to conduct independent research with a strong and relevant publication record;
• Experienced in working with a diverse range of data types – prior experience in data analytics and machine learning for healthcare applications would be a plus;
• Experienced in using the latest machine learning, AI, and big data platforms;
• Excellent interpersonal communication and oral presentation skills in English; and
• Experienced in working in a team, with people of diverse skillsets, including industry end-users