281 Machine Learning Scientist jobs in Malaysia

Overview

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia — We are hiring for a Machine Learning Scientist role at MoneyLion . The Kuala Lumpur office is the technology powerhouse and leads innovative initiatives in fintech.

About The Role

We are looking for a Machine Learning Scientist to help shape the future of MoneyLion’s technology and push the boundaries of what is possible with machine learning in the financial-services industry. This role is designed for a passionate individual with a deep interest in machine learning, AI and data-driven solutions.

Key Responsibilities

• Conduct advanced research into novel models, algorithms and techniques that will directly be applied to solve real-world problems faced by our organization
• Develop and experiment with innovative machine learning models and algorithms to solve complex problems
• Use data driven methods to turn vast amounts of data into actionable insights and operational machine learning models and tools
• Communicate complex ideas effectively and translate technical solutions into business strategies
• Monitor and optimize existing algorithms for improved performance and efficiency
• Evaluate the effectiveness of machine learning models offline and online with well-defined metrics
• Work closely with cross-functional teams including Data Engineers, Product Managers, Software Engineers, Data Scientists, Machine Learning Engineers and MLOps Engineers to integrate machine learning technology into products and services
• Stay at the forefront of technological advancements in machine learning and AI
• Document methodologies and results as well as prepare reports and presentations to communicate findings to stakeholders

About You

• Strong mathematical, statistical or related quantitative skills
• Demonstrated experience in machine learning, statistical modeling, data analysis and algorithm development
• Demonstrated ability to adapt new technologies and learn quickly
• Strong analytical and problem solving skills, along with creativity and curiosity
• Proficient in programming languages such as Python and SQL
• Familiarity with machine learning frameworks and libraries like Tensorflow, PyTorch, Scikit-learn, XGBoost and LightGBM
• Advanced knowledge in specialized areas such as deep learning, natural language processing, search and recommendation systems
• Excellent communication and collaboration abilities, capable of explaining complex technical concepts to non-technical stakeholders
• Preferably familiar with big data technologies like AWS, MLFLow, DVC, Metaflow
• Preferably familiar with developing and deploying machine learning models in production
• Commitment to continuous learning and staying informed about the latest industry trends

What’s Next

What happens after you submit your application:

• Online Technical Test
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment — Hiring Manager (Virtual or face-to-face)

Note: If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.

What We Value

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork , customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Other

#J-18808-Ljbffr

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action. In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it. About the Role The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry! We are looking for a Machine Learning Scientist to help shape the future of our organization’s technological advancements and push the boundaries of what is possible with machine learning in our industry. This position is designed for a passionate individual with a deep interest in machine learning, AI and data driven solutions. As a Machine Learning Scientist in MoneyLion, you will be at the forefront of driving innovation and efficiency across the organization. In this role, you will act as the bridge to close the gap between complex machine learning technologies and practical business applications. You will be pivotal in identifying, developing and implementing machine learning strategies, translating them into tangible solutions that have a direct impact on our business operations and strategic goals. You will be expected to keep up with the latest developments in AI and machine learning, ensuring that the business stays ahead of the curve in leveraging these technologies. Key Responsibilities Conduct advanced research into novel models, algorithms and techniques that will directly be applied to solve real-world problems faced by our organization Develop and experiment with innovative machine learning models and algorithms to solve complex problems Use data driven methods to turn vast amounts of data into actionable insights and operational machine learning models and tools Communicate complex ideas effectively and translate technical solutions into business strategies Monitor and optimize existing algorithms for improved performance and efficiency Evaluate the effectiveness of machine learning models offline and online with well-defined metrics Work closely with cross-functional teams including Data Engineers, Product Managers, Software Engineers, Data Scientists, Machine Learning Engineers and MLOps Engineers to integrate machine learning technology into products and services Stay at the forefront of technological advancements in machine learning and AI Document methodologies and results as well as prepare reports and presentations to communicate findings to stakeholders About You Strong mathematical, statistical or related quantitative skills Demonstrated experience in machine learning, statistical modeling, data analysis and algorithm development Demonstrated ability to adapt new technologies and learn quickly Strong analytical and problem solving skills, along with creativity and curiosity Proficient in programming languages such as Python and SQL Familiarity with machine learning frameworks and libraries like Tensorflow, PyTorch, Scikit-learn, XGBoost and LightGBM Advanced knowledge in specialized areas such as deep learning, natural language processing, search and recommendation systems Excellent communication and collaboration abilities, capable of explaining complex technical concepts to non-technical stakeholders Preferably familiar with big data technologies like AWS, MLFLow, DVC, Metaflow Preferably familiar with developing and deploying machine learning models in production Commitment to continuous learning and staying informed about the latest industry trends What's Next. After you submit your application, you can expect the following steps in the recruitment process: Online Technical Test Take-Home Assessment Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face) *If you’ve already sent in your application for this position and werenot selected, please re-apply after 6 months.* What We Value

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission. MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day. Working at Moneylion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes: Competitive salary packages and bonuses

#J-18808-Ljbffr

Overview MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia — We are hiring for a

Machine Learning Scientist

role at

MoneyLion . The Kuala Lumpur office is the technology powerhouse and leads innovative initiatives in fintech.

About The Role We are looking for a

Machine Learning Scientist

to help shape the future of MoneyLion’s technology and push the boundaries of what is possible with machine learning in the financial-services industry. This role is designed for a passionate individual with a deep interest in machine learning, AI and data-driven solutions.

Key Responsibilities

Conduct advanced research into novel models, algorithms and techniques that will directly be applied to solve real-world problems faced by our organization

Develop and experiment with innovative machine learning models and algorithms to solve complex problems

Use data driven methods to turn vast amounts of data into actionable insights and operational machine learning models and tools

Communicate complex ideas effectively and translate technical solutions into business strategies

Monitor and optimize existing algorithms for improved performance and efficiency

Evaluate the effectiveness of machine learning models offline and online with well-defined metrics

Work closely with cross-functional teams including Data Engineers, Product Managers, Software Engineers, Data Scientists, Machine Learning Engineers and MLOps Engineers to integrate machine learning technology into products and services

Stay at the forefront of technological advancements in machine learning and AI

Document methodologies and results as well as prepare reports and presentations to communicate findings to stakeholders

About You

Strong mathematical, statistical or related quantitative skills

Demonstrated experience in machine learning, statistical modeling, data analysis and algorithm development

Demonstrated ability to adapt new technologies and learn quickly

Strong analytical and problem solving skills, along with creativity and curiosity

Proficient in programming languages such as Python and SQL

Familiarity with machine learning frameworks and libraries like Tensorflow, PyTorch, Scikit-learn, XGBoost and LightGBM

Advanced knowledge in specialized areas such as deep learning, natural language processing, search and recommendation systems

Excellent communication and collaboration abilities, capable of explaining complex technical concepts to non-technical stakeholders

Preferably familiar with big data technologies like AWS, MLFLow, DVC, Metaflow

Preferably familiar with developing and deploying machine learning models in production

Commitment to continuous learning and staying informed about the latest industry trends

What’s Next What happens after you submit your application:

Online Technical Test

Take-Home Assessment

Interview & Discussion of Take-Home Assessment — Hiring Manager (Virtual or face-to-face)

Note: If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.

What We Value We value

growth-minded

and

collaborative

people with high

learning agility

who embody our core values of

teamwork ,

customer-first

and

innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion Our generous benefits package includes:

Competitive salary packages

Comprehensive medical, dental, vision and life insurance benefits

Wellness perks

Paid parental leave

Generous Paid Time Off

Learning and Development resources

Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

Seniority level

Entry level

Employment type

Full-time

Job function

Other

#J-18808-Ljbffr

Overview

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

About The Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

We are looking for a Senior Machine Learning Scientist to help spearhead the future of our organization’s technological advancements and push the boundaries of what is possible with machine learning in our industry. This position is designed for a passionate individual with a profound understanding of machine learning techniques and algorithms, along with a track record of applying this knowledge to solve complex, real-world problems.

As a Senior Machine Learning Scientist in MoneyLion, you will be at the forefront of driving innovation and efficiency across the organization. In this role, you will be pivotal in strategic planning for AI initiatives and aligning machine learning projects with business objectives. You will conduct and supervise advanced research in machine learning, leading innovative projects from conceptualization to implementation. This entails innovating and developing state-of-the-art algorithms, and then translating them into tangible solutions that have a direct impact on our business operations and strategic goals. You will be expected to keep up with the latest developments in AI and machine learning, ensuring that the business stays ahead of the curve in leveraging these technologies.

Key Responsibilities

• Lead groundbreaking research in machine learning and AI, translating theoretical insights into practical applications and novel algorithms
• Spearhead major projects, overseeing all aspects from research to development and implementation, ensuring alignment with organizational goals and trends
• Develop, experiment and refine advanced machine learning models and algorithms into practical applications
• Address and explain advanced algorithm designs and complex challenges in areas such as deep learning, natural language processing, search and recommendation systems
• Monitor and optimize existing algorithms for improved performance and efficiency
• Evaluate the effectiveness of machine learning models offline and online with well-defined metrics
• Mentor Machine Learning Scientists and Engineers, fostering a culture of innovation and continuous learning
• Work closely with cross-functional teams including Data Engineers, Product Managers, Software Engineers, Data Scientists, Machine Learning Engineers and MLOps Engineers to integrate machine learning technology into products and services
• Stay at the forefront of technological advancements in machine learning and AI
• Communicate complex technical concepts to non-technical audiences to influence strategic decisions and provide insights on the potential impact of emerging technologies

About You

• Strong mathematical, statistical or related quantitative skills
• Demonstrated experience in both research and practical applications of machine learning, statistical modeling, data analysis and algorithm development
• Experienced leading and managing complex machine learning projects and cross-functional teams
• Strong analytical and problem solving skills, along with creativity and curiosity
• Proficient in programming languages such as Python and SQL
• Familiarity with machine learning frameworks and libraries like Tensorflow, PyTorch, Scikit-learn, XGBoost and LightGBM
• Advanced knowledge in specialized areas such as deep learning, natural language processing, search and recommendation systems
• Excellent leadership, communication and collaboration abilities, capable of explaining and translating complex technical concepts into business insights
• Preferably familiar with big data technologies like AWS, MLFLow, DVC, Metaflow
• Preferably familiar with developing and deploying machine learning models in production
• Commitment to continuous learning and staying informed about the latest industry trends

What’s Next

• Online Technical Test
• Interview – Talent Acquisition Team (Virtual or face-to-face)
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment – Hiring Manager (Virtual or face-to-face)

If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.

What We Value

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other

#J-18808-Ljbffr

Overview MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

About The Role The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

We are looking for a Senior Machine Learning Scientist to help spearhead the future of our organization’s technological advancements and push the boundaries of what is possible with machine learning in our industry. This position is designed for a passionate individual with a profound understanding of machine learning techniques and algorithms, along with a track record of applying this knowledge to solve complex, real-world problems.

As a Senior Machine Learning Scientist in MoneyLion, you will be at the forefront of driving innovation and efficiency across the organization. In this role, you will be pivotal in strategic planning for AI initiatives and aligning machine learning projects with business objectives. You will conduct and supervise advanced research in machine learning, leading innovative projects from conceptualization to implementation. This entails innovating and developing state-of-the-art algorithms, and then translating them into tangible solutions that have a direct impact on our business operations and strategic goals. You will be expected to keep up with the latest developments in AI and machine learning, ensuring that the business stays ahead of the curve in leveraging these technologies.

Key Responsibilities

Lead groundbreaking research in machine learning and AI, translating theoretical insights into practical applications and novel algorithms

Spearhead major projects, overseeing all aspects from research to development and implementation, ensuring alignment with organizational goals and trends

Develop, experiment and refine advanced machine learning models and algorithms into practical applications

Address and explain advanced algorithm designs and complex challenges in areas such as deep learning, natural language processing, search and recommendation systems

Monitor and optimize existing algorithms for improved performance and efficiency

Evaluate the effectiveness of machine learning models offline and online with well-defined metrics

Mentor Machine Learning Scientists and Engineers, fostering a culture of innovation and continuous learning

Work closely with cross-functional teams including Data Engineers, Product Managers, Software Engineers, Data Scientists, Machine Learning Engineers and MLOps Engineers to integrate machine learning technology into products and services

Stay at the forefront of technological advancements in machine learning and AI

Communicate complex technical concepts to non-technical audiences to influence strategic decisions and provide insights on the potential impact of emerging technologies

About You

Strong mathematical, statistical or related quantitative skills

Demonstrated experience in both research and practical applications of machine learning, statistical modeling, data analysis and algorithm development

Experienced leading and managing complex machine learning projects and cross-functional teams

Strong analytical and problem solving skills, along with creativity and curiosity

Proficient in programming languages such as Python and SQL

Familiarity with machine learning frameworks and libraries like Tensorflow, PyTorch, Scikit-learn, XGBoost and LightGBM

Advanced knowledge in specialized areas such as deep learning, natural language processing, search and recommendation systems

Excellent leadership, communication and collaboration abilities, capable of explaining and translating complex technical concepts into business insights

Preferably familiar with big data technologies like AWS, MLFLow, DVC, Metaflow

Preferably familiar with developing and deploying machine learning models in production

Commitment to continuous learning and staying informed about the latest industry trends

What’s Next

Online Technical Test

Interview – Talent Acquisition Team (Virtual or face-to-face)

Take-Home Assessment

Interview & Discussion of Take-Home Assessment – Hiring Manager (Virtual or face-to-face)

If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.

What We Value We value

growth-minded

and

collaborative

people with high

learning agility

who embody our core values of

teamwork, customer-first

and

innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

Competitive salary packages

Comprehensive medical, dental, vision and life insurance benefits

Wellness perks

Paid parental leave

Generous Paid Time Off

Learning and Development resources

Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

Seniority level Mid-Senior level

Employment type Full-time

Job function Other

#J-18808-Ljbffr

Company information

Magnequench is the preferred magnetic solutions provider in the bonded NdFeB magnet industry manufacturing and selling magnetic powder and polymer bonded magnets throughout the Asia Pacific, Europe and North America. Our products are used to provide high performance magnetics for automotive, media storage, appliance industries and various other industries. Recently MQ is expanding its product portfolio to include NdFeB sintered magnets. The Magnequench research and development team in Singapore is looking for a Research Scientist to join our team to develop high-performance NdFeB sintered magnets. Please see our website for additional information.

Job Description & Responsibilities:

• Lead, plan and execute R&D projects on NdFeB sintered magnets.
• Develop new magnet alloys, processes and products with minimal supervision.
• Provide tech support for sintered magnet mass production at Narva, Estonia.
• Participate in multi-disciplinary project teams involving engineering and R&D at manufacturing locations and regional sales managers.
• Demonstrate competence in the use of all relevant processing, test and analytical equipment.
• Provide technical supervision to associate scientists.
• Document all phases of assigned projects; write complete reports.
• Assist in preparing patent applications/publications/meeting presentations/knowledge notes.
• Maintain a clean, organized and safe workplace.
• Conduct other work as required in Materials and Magnetics Laboratories.

Requirements:

• Ph.D. degree (preferred) or master’s degree in Materials Science and Engineering or Physics, with thesis in permanent magnetic materials (preferred in NdFeB sintered magnets).
• 0-5 years of post-graduate research experience, preferably in NdFeB sintered magnets.
• Hands-on experimental skills in NdFeB sintered magnets fabrication technology.
• Knowledge of NdFeB permanent magnets and their processing-microstructure-property relationship.
• Ability to analyze and work through technical and/or scientific problems.
• Ability to travel occasionally to our manufacturing sites in Europe and Asia.
• Good communication and presentation skills (in English).
• Highly motivated, team player.

The selected candidate will be located in Singapore. We offer competitive compensation, comprehensive benefits and career growth opportunities. To apply, please submit your CV and cover letter to Only short-listed candidates will be notified.

#J-18808-Ljbffr

Company information Magnequench is the preferred magnetic solutions provider in the bonded NdFeB magnet industry manufacturing and selling magnetic powder and polymer bonded magnets throughout the Asia Pacific, Europe and North America. Our products are used to provide high performance magnetics for automotive, media storage, appliance industries and various other industries. Recently MQ is expanding its product portfolio to include NdFeB sintered magnets. The Magnequench research and development team in Singapore is looking for a Research Scientist to join our team to develop high-performance NdFeB sintered magnets. Please see our website

additional information. Job Description & Responsibilities: Lead, plan and execute R&D projects on NdFeB sintered magnets. Develop new magnet alloys, processes and products with minimal supervision. Provide tech support for sintered magnet mass production at Narva, Estonia. Participate in multi-disciplinary project teams involving engineering and R&D at manufacturing locations and regional sales managers. Demonstrate competence in the use of all relevant processing, test and analytical equipment. Provide technical supervision to associate scientists. Document all phases of assigned projects; write complete reports. Assist in preparing patent applications/publications/meeting presentations/knowledge notes. Maintain a clean, organized and safe workplace. Conduct other work as required in Materials and Magnetics Laboratories. Requirements: Ph.D. degree (preferred) or master’s degree in Materials Science and Engineering or Physics, with thesis in permanent magnetic materials (preferred in NdFeB sintered magnets). 0-5 years of post-graduate research experience, preferably in NdFeB sintered magnets. Hands-on experimental skills in NdFeB sintered magnets fabrication technology. Knowledge of NdFeB permanent magnets and their processing-microstructure-property relationship. Ability to analyze and work through technical and/or scientific problems. Ability to travel occasionally to our manufacturing sites in Europe and Asia. Good communication and presentation skills (in English). Highly motivated, team player. The selected candidate will be located in Singapore. We offer competitive compensation, comprehensive benefits and career growth opportunities. To apply, please submit your CV and cover letter to Only short-listed candidates will be notified.

#J-18808-Ljbffr

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・Develop and implement machine learning models using RapidMiner to ensure casting predictions fall within established quality standards.・Analyse sensor data with RapidMiner to identify and understand relationships between various production parameters and potential issues.・Generate AI-driven insights using RapidMiner to optimize casting performance and improve overall production efficiency.・Collaborate with cross-functional teams, including production, quality assurance, and engineering, to integrate RapidMiner AI solutions into the manufacturing process.・Monitor and maintain the performance of deployed models in RapidMiner, ensuring they continue to meet quality and efficiency targets.・Conduct exploratory data analysis with RapidMiner to uncover trends, patterns, and anomalies in production data.・Stay updated with the latest advancements in AI and data science and apply relevant techniques to enhance manufacturing processes.

(Apply now at #J-18808-Ljbffr

Job description:

The successful candidate will be responsible for the design and simulation, fabrication and characterization of nonlinear metadevices to enhance the efficiency of quantum light sources.

Job Requirement:

• PhD in applied physics, optics and photonics, electrical engineering or materials science.
• Hands-on experiences in nonlinear metasurfaces are needed (design and simulation, nanofabrication and characterization);
• Skills in van der Waals structures fabrication (exfoliation, transfer, twist and stacking) are advantages;
• Skills in nonlinear optics measurement (SHG and THG) and optical setup are advantages;
• Skills in optoelectronic photodetector development and measurement are advantages;
• Good team player, self-motivated, ability to carry out independent research, and persistence in solving technology challenges;
• Proven track record of high-quality scientific publications.

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.

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