Total 11 digital art director job vacancies in Education / Training category in Singapore

Looking to hire an artist with at least 10 years of experience in education/mentoring of body art artist. He must be able to give lessons to the students with reference to a structured curriculum. Food and light refreshment is provided by the studio for employees. If you fits the bill, please let us know :)

Responsibilities:

• Develop and execute teaching and research plans to ensure the enhancement and continuous improvement of teaching quality.
• Design and oversee the development of teaching courses and resources to meet students' learning needs and development goals.
• Manage and train the teaching team to ensure they possess necessary professional knowledge and teaching skills.
• Supervise teaching effectiveness assessment and feedback mechanisms, and adjust teaching plans and methods in a timely manner.
• Actively participate in educational research and teaching reform to promote continuous improvement of the school's teaching standards.

Requirements:

• Bachelor's degree or above in a relevant field.
• Three or more years of relevant work experience, with preference given to candidates with teaching management experience.
• Familiarity with educational theories and methods, with preference given to candidates with experience in educational research or teaching reform.

Working Hours:

• Monday: Off
• Tuesday to Friday: 1:30 PM to 7:30 PM
• Saturday and Sunday: 9:00 AM to 7:30 PM

The Director is accountable for the overall growth and performance of the Hua Mei Training Academy under Tsao Foundation. The key focus of this role is to drive the training initiatives for clients / industry players to meet its vision, mission and operational goals. In addition, the role will need to develop, plan, lead and implement strategic plans, aligning with the Foundation's overall long-term mission.

Responsibilities:

• Responsible for the development and implementation of business plan to targeted clients, industry players and government functions.
• P&L responsibilities to drive profitable growth within the function.
• Accountable for the performance of the Training Academy's marketing, operations and development functions.
• Develop, implement and drive strategies to align with the Foundation’s plans and objectives and to achieve the desired key performance objectives and needs.
• Manage team members’ performance to achieve set performance goals through effective selection of recruits, training and development, engagement and reward system.
• Support, guide and oversee continual curriculum improvements.
• To position Hua Mei Training Academy as a leading quality provider of eldercare training in the marketplace.
• Ensure regulatory compliance with relevant compliance bodies.
• Work closely with relevant government agencies for funding and disbursement matters.
• Ensure the prompt / accurate submission of relevant reports as required.

Educational Qualifications

• Bachelor's degree

Relevant Experience

• At least 10 years of relevant experience in related fields such as healthcare, training providers, community-development and programme management & development
• 5 years of relevant experience in similar capacity
• P&L experience
• Enjoy the challenges of new developments & community interventions
• Passion for working with older persons

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

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.

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

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

We aim to develop advanced AI models for creating cardiac digital twins, i.e., personalized virtual heart models. We will employ the dataset (imaging, ECG, electronic medical records, etc) collected from patients, to accurately modelling the anatomy and simulate the function of patients' diseased hearts. These models, coupled with machine learning techniques, contribute to the identification of crucial mechanistic relationships and features that offer insights into the trajectory of a patient's heart condition. The research will delve into the intersection of AI and cardiac sciences, exploring novel approaches to revolutionize our understanding of the human heart. With the potential to impact medical treatments and technology advancements, it promises an exciting and important avenue for personalized medicine. We will collaborate with a multi-disciplinary team, including academics/ experts from NUS, University of Oxford, University of Southampton, Imperial College London, Fudan University, etc.

The selected Research Assistant will be required to:

• Collect, preprocess, and analyze clinical data.
• Develop neural surrogate model for efficient cardiac simulation.
• Write well-documented code for experiments, ensuring reproducibility and efficiency.
• Write and submit research articles to top-tier peer-reviewed journals and conferences.

Qualifications

• Possess a recognised bachelor’s degree in biomedical engineering, computer science, data science, applied statistics/ mathematics, or any-related field.
• Strong problem-solving abilities and learning capability.
• Proficiency in programming (Python, C++, etc)
• Strong written and spoken communication and comprehension and able to present results clearly.
• First-authored relative publication in top-tier journals and conferences are preferred.
• Being self-motivated and enthusiastic about AI for healthcare.
• Open to fixed-term contract.

Our client is actively searching for a Director, Learning & Talent Management to join their team!

If you are a dynamic individual seeking a new career opportunity, read further!

Reporting to the Chief Human Resource Officer, this role is responsible for driving the end-to-end Learning and Talent Development strategy to enhance the organisation’s capabilities and performance. Through this role, the candidate will formulate all strategies, policies and processes in the areas of organization-wide learning & organizational development, talent management & succession planning.

The responsibilities of this role are:

Learning & Development

• Lead and drive organisation’s overall Learning and Development Strategies to build a skilled and agile workforce
• Develop the University’s Total Learning Plan based on the learning needs identified
• Collaborate with senior leaders to identify the strategic learning focus, co-create and implement leadership and functional competency frameworks, including specialist tracks.
• Partner and guide internal stakeholders to identify learning and development needs based on business requirements and developing milestone programmes to meet the varying needs of the workforce
• Anticipate latest trends to pivot learning objectives and identify new learning methodologies such as innovative and experiential learning models to pique learning interests.
• Review and formulate policies and processes related to L&D that would support the development of a sustainable learning culture in the University
• Develop success metrics and evaluate the effectiveness of training programmes

Organisation Development

• Lead team in charting the organisation development strategic roadmap and operationalizing initiatives across different workstreams to improve employee engagement and enhance employee experience to make the University a great place to work in
• Drive and implement change interventions within the University that will accelerate the transformation journey that is in line with University’s strategic goals.
• Drive Employee Engagement Survey and ensure follow-up plans are in place to holistically address employee concerns

Talent Management

• Provide leadership and guidance on the design and development of talent management frameworks to lift talent pool and strengthen leadership pipeline across all schemes.
• Grow talent within the organization through building talent pipeline and development of high potential talents
• Provide consultative support to function leaders and HRBPs on critical and complex talent and organizational capability issues to build talent development capabilities and accountabilities.
• Partner senior business leaders and executive leadership teams in the design and execution of talent strategy, policies and frameworks, talent assessment and identification to build leadership bench strength.
• Curate and implement programmes under the Talent Management programmes with the objective of talent attraction, talent selection, developing and retaining high performers and high potentials
• Administer the programmes from talent selection, identification to engagement as well as end-to-end planning and execution of the various activities/events scheduled throughout the entire programme period.
• Oversee the development of talents and tailor the blend of developmental opportunities (e.g. training programmes, master classes, secondments, stretch appointments etc) in accordance to their career stages to optimize leadership exposure and development

Succession Planning

• Lead the approach, facilitation and follow-up action planning for talent and succession planning. Identify growth potential, facilitate and execute the career progression and development plans of selected officers so as to ensure that there is a strong pipeline of successors for critical positions in the University
• Increase readiness and success rate of succession candidates through the implementation of Individual Development Plan (IDP) for identified successors.

The ideal candidate will need to have the following qualities and experience:

• Degree or equivalent in Human Resource Management or relevant field with minimum 10 - 15 years of experience in Human Resources function.
• Proven success at the helm of the L&D function
• Strong track record in designing and driving change, culture building and employee engagement, as well as proven ability to effectively engage at senior leadership levels
• Possess up-to-date knowledge of best practices in organizational learning
• Strong in execution and has held leadership role(s) at team level
• A proven people manager who is able to motivate and develop the team
• Detail-oriented, proactive and strong analytical thinking

CTES Consulting PTE LTD

EA License No.: 07C3481

EA Personnel Registration No.: R1104237 (Jaclyn Tan)

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

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.

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• At least 5 years of relevant experience
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

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.

Be at the forefront of education and training

Who We Are

We are a leading eLearning content development and service provider offering end-to-end services for a wide array of clients including government agencies, institutions of higher learning and corporate clients.

The Role
We are looking for dynamic and passionate eLearning Learning Development Specialists to create engaging and compelling education and training digital content.

The Job

• Transform existing face-to-face teaching and training content for eLearning delivery
• Design and develop eLearning materials and content that meets desired learning outcomes
• Analyse and assess learning needs and instructional materials
• Design appropriate eLearning activities and assessments
• Collaborate with subject matter experts to develop course content
• Work together with the digital media team to create supporting media (e.g audio/video/animation, simulations)

The Requirements

• Degree in education, instructional design or related field
• Sound knowledge in instructional design or curriculum development
• Ability to manage and handle multiple tasks
• Problem-solving skills, deadline-focused, and goal-driven
• Exceptional attention to detail
• Excellent written, oral and presentation skills
• Collaborative team player in a cross-functional environment

To Apply

• Resume
• Current and expected salary
• Only shortlisted candidates will be contacted for an interview
• Immediate candidates preferred

At Midiworld, we take pride in providing personalized guidance that caters to each student's unique needs and aspirations. We firmly believe in laying a strong foundation through meticulous techniques while fostering a positive learning attitude. Our mission is to cultivate well-rounded musicians who are not only proficient in their chosen musical instruments but also passionate about their musical journey.

Piano Teacher (Part Time for Weekend)

(Singapore - NORTHEAST)

Position Overview:

We are seeking a skilled and passionate Piano Teacher to join our educational institution. As a Piano Teacher, you will be responsible for instructing and guiding students in the art of playing the piano. Your role involves designing and delivering lessons that cater to students of various skill levels and age groups. Piano Teachers play a pivotal role in nurturing musical talent, fostering a love for music, and helping students develop their technical proficiency and musical understanding.

Keys Responsibilities:

1. Instruction:

• Plan and deliver engaging and structured piano lessons to students, taking into account their age, skill level, exam requirements and individual goals.

• Teach fundamental techniques, such as posture, finger placement, and hand positioning.

• Introduce music theory concepts, including notation, rhythm, scales, and harmony.

• Select appropriate repertoire to challenge and motivate students while ensuring it aligns with their skill level.

2. Assessment and Feedback:

• Evaluate students' progress through regular assessments, including recitals, examinations, and practice assignments.

• Provide constructive feedback to students, helping them identify areas for improvement and setting achievable goals.

• Adapt teaching methods and materials to address individual learning styles and needs.

3. Instrument Maintenance:

• Instruct students on the proper care and maintenance of their instruments.

• Offer guidance on selecting and purchasing instruments and accessories.

4. Communication:

• Maintain open and clear communication with students and their parents or guardians regarding progress, practice routines, exam and performance opportunities.

• Collaborate with parents/guardians to establish and monitor practice schedules and prepare the students for examination.

5. Performance and Recitals:

• Organize and facilitate student recitals or performances to showcase their progress and build confidence.

• Encourage and support students in participating in competitions, auditions, and other musical events.

6. Continuing Education:

• Stay updated on the latest teaching techniques, examination board and syllabus, music trends, and educational materials.

• Adapt teaching methods to accommodate diverse learning styles and preferences.

7. Professionalism:

• Maintain a professional demeanour, punctuality, and reliability in all interactions with students and their families.

• Adhere to ethical and professional standards of conduct.

8. Record Keeping:

• Maintain accurate records of student attendance, lesson plans, and progress reports.

Qualifications:

• May hold relevant certifications or degrees in music education, music performance or related fields. (preferred).

• Proficiency in playing piano at an advanced level.

• Previous teaching experience, especially in one-on-one or group settings.

• Patience, enthusiasm, and the ability to motivate and inspire students.

• Excellent communication and interpersonal skills with the ability to effectively engage and connect with students of all ages.

• Ability to adapt teaching methods to suit the needs of individual students.

• Patience, enthusiasm, and a genuine passion for teaching.

• Ability to work collaboratively within a creative and dynamic team.

• Flexibility in adapting teaching methods to accommodate different learning styles.

• Knowledge of music theory and pedagogical methods.

• Ability to create a positive and nurturing learning environment.

• Flexibility to work during at least one weekday and Saturday and Sunday, based on class schedules. (part-time role)

________________________________________

If you have a passion for teaching and is dedicated to nurturing the musical talents of students and unlock their musical potential and foster a lifelong love for music, we encourage you to apply. Join Midiworld Music and Art School and inspire a new generation of students.

Interested candidates are invited to submit their resume, and a cover letter detailing your teaching philosophy and relevant experience to [email protected].

Please include "Piano Teacher Application – [Part-time] [Your Name]" in the subject line. Shortlisted candidates will be contacted for an interview and a demonstration of their teaching skills.

Only shortlisted candidates will be notified.