We are looking for an experienced Food Science and Innovation Director with passion for food, people and innovation, who can generate and manage major innovation projects.

This critical role oversees the development of innovative products from conceptualization to commercial launch. They oversee all aspects of the NPD process including identifying market trends and opportunities, managing projects and teams, developing intellectual property, bringing new products and services to market, and evaluating opportunities for licensing or acquisition.

Accountabilities:

• Managing the end-to-end NPD process including prototyping, sensory testing, and process scaling
• Partnering with leading global food companies on co development of innovating new products that unlock consumer demand
• Driving cross-functional NPD projects in partnership with representatives from marketing, manufacturing, quality assurance, procurement, and finance
• Monitoring food science and nutrition trends, ingredients innovations, and emerging technologies for product development opportunities
• Ensuring NPD portfolio delivers on revenue growth, margin, and launch timing goals.
• Protecting intellectual property related to proprietary ingredients, product formulations, and process technologies.
• Building partnerships with universities, research institutes, and other companies

Minimum Skills Required:

• 10+ years of management experience directing food product development projects that have successfully launched into retail or foodservice markets.
• Advanced degree in food science or technology
• Supervisory/managerial experience required.
• Familiarity with food science equipment required.
• Project Management experience required.
• Experience with consumer insights, culinary innovation, and nutrition.
• Successful track record developing and implementing category growth strategies
• Strong leadership, communication, presentation, and interpersonal skills
• Ability to simplify complex ideas and present strategic recommendations.
• Knowledge of alternative protein industry including supply chain and pricing dynamics
• Required To Travel: up to 25% of time

The Singapore University of Technology and Design (SUTD) is a young and innovative university with a unique educational structure and mission of creating a better world by design. SUTD was established in 2009 as the fourth public funded university in Singapore in collaboration with MIT and Zhejiang University.

With a small student-to-faculty ratio, an innovative active-based learning pedagogy, an interdisciplinary pillar organization, a stellar faculty, and a beautiful new campus, SUTD aims to nurture future technological leaders in engineering and architecture. SUTD is considered by international experts as an emerging leader in its engineering education.

http://news.mit.edu/2018/reimagining-and-rethinking-engineering-education-0327

We invite applications for a teaching track position at lecturer or senior lecturer level at the Science, Mathematics and Technology (SMT) Cluster. Duties include teaching of undergraduate and continuous education courses, advising undergraduate student projects, conducting pedagogical research, creating innovative curriculum, student outreach, and service to SUTD and the community. We are particularly interested in individuals with a strong and genuine interest in promoting STEM education at levels.

The minimal qualifications for the faculty position include:

1. An earned doctorate in Applied Mathematics, Physics, Bioinformatics or related engineering fields,
2. A strong passion and high competence in teaching applied mathematics, physics, modeling/simulation and related courses at the undergraduate levels,
3. Excellent communication skills,
4. Prior teaching experience including experience in technology-enabled learning, is preferred,
5. Prior experience in pedagogy research is preferred,
6. A demonstrated record of, or potential, for teaching to industry partners, and
7. A demonstrated record of, or potential, for scholarly research.

Requirements

Please submit your full application package, it should include:

1. Statement of interest / Cover letter
2. Teaching statement and prior teaching experience
3. Past student feedback, if applicable
4. Research statement
5. Full resume with profile, and publication list
6. Sample of published works
7. Contact information of 3 referees

After School Student Care Teacher (Math & Science subjects)

Basic Salary: $3000-$3500
Working Hours: 44hrs/week
Working Location: Farrer Park

Job Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct franchise unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements

• Diploma or higher in Math or Science.
• Minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects (Preferably Both Math & Science)

Karen Lee Kai En Reg No: R22108159

The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Admin Executive & Receptionist

ㅤEmbark on a meaningful career to make a real difference in the lives of children!

ㅤScience Studios is a leading education centre specialising in the teaching of primary school science through engaging experiments and excellent printed materials. Learning at Science Studios is also supplemented by, and enhanced through, proprietary online resources.

ㅤWe believe children should enjoy learning in order to achieve better grades. We go the extra mile to carefully design, prepare, and deliver each lesson so that students are engaged and have fun learning. For many students, coming to Science Studios is one of the highlights of their week! If you want a positive work environment where you can make a real difference, this is the right place for you!

ㅤWe currently have 3 branches across Singapore: West (Bukit Timah Plaza), Central (Balmoral Plaza) and East (Eastgate at Katong). Do let us know if you prefer to work at one of the locations.

Job Description:

• Communicate with customers regarding SS programmes, fees, replacement classes, etc.

• Prepare apparatus for experiments. This includes purchasing and maintaining inventory.

• Mark quizzes and monitor students’ progress to help them achieve better grades.

Requirements

+ Passionate about enriching children's lives through effective education.

+ Maintain high standards with a strong attention to detail. Thorough and accurate when accomplishing assigned tasks.

+ Able to work one and a half weekend days (Sunday from 12 noon, and Saturday).

[2 weekdays, including Fridays, will be rest days. You’ll be able to avoid weekend crowds on your rest days. Furthermore, there is no need to work on most weekends in June and December.]

Responsibilities:

• Gather and analyze user requirements and translate them to business solutions
• Design, write and implement efficient code to preprocess data, train, evaluate, test and deploy models
• Plan, manage and lead data science projects
• Develop machine learning and deep learning models for production level
• Improve and manage existing models and systems
• Guide the internal team on technical details and project development
• Present insightful data outcomes to project stakeholders

Requirements:

• Bachelor’s Degree in Computer Science, Science/Engineering field or equivalent
• At least 2 years’ experience in Data Science related function
• Proficient in Python programming and common libraries for data analytics, machine learning and deep learning (pandas, numpy, scikit learn, keras etc)
• Good understanding of machine learning/deep learning algorithms and their applications
• Knowledge in use of SQL and/or noSQL databases (postgres, oracle, MongoDB etc.)
• Familiarity with implementing models at production level
• Experience with data visualization tools such as Power BI, Tableau
• Hands-on practical experience on other data science development in languages such as R, Java, C++, etc
• Experienced in manufacturing industry is advantageous

To apply, please visit www.gmprecruit.com and search for Job Reference: 23985

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to use Data Science, A.I./Machine Learning, and Technology skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide.

Join Team Amex and let's lead the way together.

If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to use Data Science, A.I./Machine Learning, and Technology skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide.

You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field.

This role resides within American Express Technology (AET) – Enterprise Services Decision Science Center of Excellence (CoE).

Responsibilities:

• Combine A.I./Machine Learning and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
• Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale.
• Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
• Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
• Drive both high-level and detailed technical designs and conduct design reviews as needed
• Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
• Provide technical mentorship to team members at junior levels
• Actively participate in business and technical discussions and forums across Amex

Qualifications:

• Master’s Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields. PhD degree preferred.
• Proven track record on producing outstanding research results (Journal and/or Conference publications, and patterns) is a must.
• Ability to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organization
• Solid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environment
• Hands-on Experience with GCP and/or AWS is a plus.
• 2+ years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
• 2+ years of experience in building and delivering sophisticated solutions that leverage various AI solutions, machine learning algorithms or technologies and are able to scale optimally.

Expert in at least one of the following fields:

• Generative AI
• Machine Learning
• Deep Learning
• Reinforcement Learning
• Natural Language Processing
• Optimization
• Probabilistic Inference
• Information Retrieval
• Recommendation Systems
• Bayesian Inference
• Advanced time series forecasting

Hands-on Experience with most of the following open-source solutions:

• Orchestrate: Airflow, Kubeflow Pipelines, ML Run
• Container: Docker, Kubernetes, Mesos + Marathon
• Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
• Observability: Prometheus, Grafana, Elasticsearch

Development:

• Programming Language: Python, Java, Scala, Julia
• IDE: Notebooks, PyCharm, VS Studio
• Machine Learning: TensorFlow, Keras, ScikitLearn, H20.ai, XGBoost, MXNet
• Feature Store: Hopsworks, Feast, or other purposed built Feature Store
• Model Format: ONNX, PMML

Job Descriptions:

• Regularly perform checks on food safety, hygiene, quality, processes, and adherence to Halal requirements in production, supply chain, and logistics.
• Prepare and manage documentation related to food safety, hygiene, quality, and processes.
• Conduct daily site walks throughout the facility.
• Check retention samples regularly.
• Collaborate with the microbiological laboratory for sample collection and lab reports.
• Ensure timely follow-up with Procurement on investigations and corrective actions concerning raw material complaints or customer feedback.
• Assist in internal audits and support external audits
• Prepare and liaise with warehouse team on export procedures e.g. placement of temperature data logger device.
• Perform basic troubleshoot and liaise with external vendors for routine servicing and issue follow up
• Provide support to customers’ request / feedback e.g. questionnaire, product specification, shelf life lab test reports.
• Preparation of training materials e.g. photos, attendance sheet, assessment.
• Coordination with HODs on training schedule.
• Any other duties assigned by QA manager

Job Requirements:

• Candidate must hold at least a Diploma, Advanced/Higher/Graduate Diploma in Food & Beverage Services Management, Food Technology/Nutrition/Dietetics, or equivalent.
• Required skills: Computer Literacy, MS Excel, MS Word.
• A minimum of 1 year of working experience in the related field is necessary for this position.
• Relevant experience in the Food & Beverage industry is advantageous.

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

(1) Design and Synthesis of electrocatalyst for oxygen evolution reaction of water electrolysis.
(2) Structure characterization and simulation of the obtained electrocatalysts.
(3) Performance test and mechanism study of the obtained electrocatalysts.

Qualifications

Master degree in MSE, Chemistry or other relevant majors.

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

A senior post-doctoral position with more than 3 years post Ph.D experience in Biomedical research. Candidate should ideally have cancer biology background with expertise in mitochondrial biology and cellular apoptosis. A suitable and successful candidate will be given the responsibility to design and conduct experiments with specific abilities in cell death and apoptosis using various quantitative and functional assays. The candidate should be available to commence as soon as possible.

Qualifications

• Previous experience in functional genomics/precision oncology approaches to work on resistant models of lung cancers to identify mechanism(s) of resistance in resistant models of lung cancers.
• Experience with the development of functional assays for phenotypic screening, involving the use of high-throughput flow cytometry, high-content drug screening, and large scale data analysis.
• Willingness to pick up mentorship position for Ph.D students and junior members.
• Previous experience with handling and analysing human clinical samples will be preferred.
• A Ph.D in cancer biology (>3 years)
• Strong track record of research achievement supported by high-quality publications in relevant field (BCL-2 and cell death biology).
• Skills in hands-on use of relevant research methods.
• Able to work independently, with strong problem-solving ability.
• Effective communication and presentation skills, with a strong track record of presentations at international conferences.

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

Learn more about GovTech at tech.gov.sg

About us – National Digital Identity (NDI)

Imagine citizens having a common and secure digital identity that will make their lives so much easier, and open doors to a plethora of services for them - allowing citizens to do everything from accessing health prescriptions, completing government transactions to starting a bank account through their smartphone.

The Singpass team builds Singapore’s digital identity system. This includes various personal authentication protocols, data sharing tools, and corporate identity systems through Corppass. The mission of the Anti-Fraud team is to minimize the number of compromised Singpass accounts, and the damage done with them. This includes live monitoring for suspicious login behaviour, longer term fraud analytics, and collaborating with partners take action on compromised accounts.

What you will be working on:

• Work with partners to understand the evolving problems and strategize about what data and techniques would be needed to solve them.
• Lead discussions with business stakeholders to establish business requirements, evaluate technical feasibility and data availability required.
• Work with large, complex datasets and applying advanced analytical methods to build machine learning models and deploy the most appropriate solution.
• Build and develop machine learning-based models e.g. recommendation engine(s), predictive models and track their effectiveness.
• Apply the use of machine learning techniques (e.g. deep learning, neural networks, etc..) to improve the current analytics capability.
• Provide inputs to the design and development of an integrated data model to allow analysis across multiple structured and unstructured datasets.
• Build and operate production systems together with engineers to serve these solutions.
• Share your expertise and mentor other data scientists.

What we are looking for:

• Possess strong analytical, conceptualisation, and problem-solving skills. Able to take broad, strategic perspectives, and when necessary, drill deep to understand business needs and challenges.
• Familiar with machine learning models for forecasting, classification, and recommendations.
• Strong in statistical programming tools (e.g. R, Python) and database languages (e.g. SQL)
• Experience in leading a data science team.
• Have excellent oral and written communication skills, along with the ability to pitch ideas and influence stakeholders at all levels on the adoption of analytics.
• Able to present technical concepts and results of technical analyses to non-technical audience effectively.
• Adaptable to dynamic operating contexts and able to work with multiple stakeholders across different teams.
• Strong people manager who can inspire, motivate, and grow the team and has strong organisation skills.
• Have passion for improving public service using analytics and data.

We are an equal opportunity employer and value diversity at our company as we believe that diversity is meaningful to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you – so work from home or take a break to exercise if you need to*.

We also believe it’s important for you to keep honing your craft in the constantly-evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round.

*Subject to the nature of your job role that might require you to be onsite during fixed hours