Love animals and great with working with people? A career switch to the veterinary industry might be the right answer for you!

We are Gaia Veterinary Centre, a team of experienced veterinary professionals are hunting down like-minded colleagues to join us at our second branch situated at Parksuites.

Ideally armed with previous front desk experience. Applications must have a calm and polite demeanour with excellent communication skills. Applicants with no experience are welcome to apply too.

Must have abilities include:

• Multi-tasking

• Strong sense of responsibility & teamwork

• Exceptional communication skills

• Competent written English to respond to email and social media enquiries

• Empathy & strong emotional ability during high stress situations

• Time management and able to work in a high paced environment

• Bilingualism a bonus

If feel up to the task to joining an exclusive & rewarding industry, please email your CV to [email protected]. We hope to hear from you!

Roles & Responsibilities

1. Conduct fundamental research and financial statement analysis on SGX-listed companies
2. Conduct research across multi-asset classes, including Equities, Fixed-income, Commodities, Structured notes, ETF, Funds, and FX
3. Generate investment strategy for the US/Hong Kong/Singapore equity market and identify short-term trading ideas
4. Provide investment recommendations and sales ideas to Equity sales and Trading Representatives
5. Any other ad-hoc responsibilities assigned

Requirements:

1. Minimum 3 years relevant experience in Investment Advisory/Counsellor or Product Specialist or Equity Research Analyst
2. Financial modelling and report writing
3. Basic product knowledge and portfolio management
4. Strong communication and interpersonal skills
5. CFA qualification or equivalent will be an advantage

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for research assistant/associates in the Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory (MNNDL), Center for Sleep and Cognition at the Department of Medicine, Yong Loo Lin School of Medicine. More information on the laboratory is available at www.neuroimaginglab.org.

The MNNDL group at NUS studies the human neural bases of cognitive functions and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and psychophysical techniques. We are interested in the large-scale brain structural and functional networks in healthy developing and aging brain and symptoms-related changes in diseases such as neurodegenerative disorders and psychosis. Statistical, computational, and machine learning methods are developed to analyze and fuse multimodal neuroimaging data. By integrating longitudinal behavior, neuroimaging, and genotype data, our long-term goal is to investigate the interactions among brain network dynamics, behavior, diseases, and genotypes to develop non-invasive biomarkers for early detection, differential diagnosis, progression monitoring, and treatment design.

Key attractions are access to a high-performance computing cluster, two 3T Prisma MR scanner and a MR compatible digital EEG system as well as collaboration opportunities with an excellent network of domestic and international scientists and doctors. Appointments will be made on a two-year contract basis in the first instance, with the possibility of extension. Salary and benefits will depend on qualifications and work experience. Long-term commitment is encouraged with mutual satisfaction.

Purpose of the post

The Research Assistant (RA) will work closely with, the Principal Investigator, lab members, and collaborators to ensure smooth operation of computing servers/storage, efficient database management, and successful completion of research projects in the lab.

Main Duties and Responsibilities

The research assistant will support the effort in conducting cutting-edge neuroscience and machine learning research and development. He/she has the opportunity to learn state-of-the-art neuroimaging techniques, data collection and analysis, with healthy participants and patients with neuropsychiatric diseases. He/she will be primarily engaged in computing server and storage administration (with support from external vendors), website maintenance, and neuroimage processing using automatic or semi-automatic scripts, and general IT management. He/she will also be able to learn how to conduct fMRI scans with EEG recording, interactions with patients, quality control, behavioural assessments, and implications in neuroscience and disease. The research assistant is expected to learn neuroimaging software and assist researchers in IRB application, data preprocessing and database management in various research projects. He/she will be exposed to ongoing research work in machine learning and statistical analysis in the context of neuroimaging and cognitive neuroscience. The research assistant/associate will have the opportunity to liaise and work with other collaborators across the institutes/hospitals in Singapore on research projects and contribute to the presentations and publications of research work. He/she will assist with any other duties of a similar nature that are delegated by the principal investigator. He/she is expected to maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.

Qualifications

The applicant should have:

1. Bachelor’s degree or master’s degree with strong IT, engineering, computing, and/or programming skills
2. Excellent written, oral communication skills
3. Prior system administration (Linux/Mac OS) or programming experience (e.g., MATLAB, shell) is a plus
4. Seek organized, reliable, self-motivated individual who is able to work effectively with others and multitask efficiently
5. Expected to commit for at least two years

Remuneration will be commensurate with the candidate’s qualifications and experience.

The Academic Instructor is required to teach the courses in the undergraduate programs offered by the University at Buffalo, The States University of New York, US, in partnership with Singapore Institute of Management.

The roles would include:

• Creation of course design and materials, and implementation of syllabus to meet UB learning objectives;
• Delivery of student-centered, interactive course curriculum, including supervision of project work;
• Create, administer, and mark assessment instruments;
• Evaluate student progress and achievements;
• Hold regular consultation hours;
• Maintain and submit academic records.

Job Requirements:

• A Ph.D or Master's Degree in the exact discipline as specified by the teaching assignment from a nationally or regionally (USA) accredited university is required;
• Terminal degree is preferred;
• At least 2 years of relevant full-time teaching experience in the exact discipline as specified by the teaching assignment at the tertiary level is required;
• Ability independently operate all class level functions of Blackboard classroom management system, including Grade Center, is required;
• Substantial evidence of an active academic research agenda and recent history of publication(s) in peer-reviewed scholarly journal(s) are strongly preferred;
• 5 years of relevant work experience will be an advantage;
• Available to teach during day time on weekdays

Note:

• Only short-listed candidates who meet the specified requirements will be notified.
• Remuneration varies based on the number of classes concluded.

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

As a member of #TeamPSA, you will be part of a diverse and global team at the forefront of creating cargo solutions to enable more agile, resilient and sustainable supply chains. Experience first-hand and drive supply chain transformation from Singapore and through PSA’s global network of ports, logistics and supply chain solutions. Alongside, we can move the world!

• Develop Your Potential: We emphasise and offer exciting rotations, learning and development opportunities, which will fuel your career aspirations and complement your business exposure across our global network.
• Diverse, Equal Opportunity: We build a sustainable work culture where all our people feel welcome, valued, respected and able to express their ideas and beliefs freely. We believe that diversity of thought and approaches in our workplace makes us stronger as a team.
• Competitive Compensation & Benefits: We are committed to recognising and rewarding your contributions to the business. Our benefits packages aim to improve your quality of life by providing support for medical, dental, recreation, among others.

This role will be an integral part of the PSA Group Data For Excellence (DFE) team which drives and promotes the application of data science and AI/ML solutions to PSA businesses globally.

Job Description

• Create value through developing data analytics solutions that supports PSA global objectives as well as local business requirements.
• Proactively work with key internal customers associated with new and existing business initiatives to understand, shape, agree and deliver on their data analytics requirements.
• Responsible for ideation, design, development and deployment of data analytics solutions, descriptive to prescriptive based on the requirements.
• Select features, build and optimize classifiers using machine learning techniques from large and diverse datasets.
• Analyse high-volume, high-dimensionality and high-volatility structured and/or unstructured data to obtain business insights and recommendations using statistical techniques and PSA Data Analytics Platform
• Work and collaborate with data science and data engineering team at all stages of CRISP-DM Methodology
• Align to PSA data policy, data governance standards and best practices and document as required

Skills Requirements

• Expertise in Python programming language, in-depth knowledge of AI/ML libraries/techniques and knowledge in statistical methods useful to develop data analytic solutions for a diverse range of use-cases.
• Experience in one of the visualisation tools, preferably Power BI and experience in building data models/cubes using SSAS or Azure Analysis Services
• Full development lifecycle experience for the data analytics solutions such as business & data understanding, data preparation, model development, visualization, validation and deployment.
• Experience in developing AI/ML models in supervised, unsupervised and reinforcement machine learning techniques for a variety of data analytics problems.
• Ability to learn and apply open source data science technologies on large datasets to explore, experiment and generate new insights and develop innovative solutions.
• A good degree in Computer Science, Statistics, Data Management, Engineering and /or Masters in Business Analytics or a related field.
• Effective communicator who can work with diverse stakeholders to define requirements, refine data analytics use cases and present the data insights.
• Strong interpersonal and presentation skills and ability to manage cross cultural differences and sensitivities.

Experience

• At least 4 years of experience as a data science analyst or data scientist in developing data analytics solutions as well as working in a data science team.

Incubation Manager, Innovation, Science and Technology Group (ISTG)

• Be part of a group that is safety driven and values inclusion
• Access to industry-leading technical development programmes
• Join our global leading business offering outstanding personal development & global career opportunities
• Diverse & challenging projects
• Role based in Singapore

About the role

Finding better ways to provide the materials the world needs.

We are looking for an entrepreneurial Incubation Manager as part of our newly established Growth team within Innovation, Science and Technology Group (ISTG).

This is a great opportunity for an innovative leader with strong entrepreneurial skills to drive incubation projects forward.

We are an open, connected global team that includes some of the industry’s best and brightest minds. We offer competitive, performance-focused remuneration and a wide range of benefits to reward your contribution. With a global reach, the opportunities to develop and grow your career are broad and exciting.

Reporting to the Head of Growth & Ventures and working in a challenging and exciting environment within Rio Tinto’s Innovation, Science & Technology Group, you will:

• Lead the Incubation team, helping set its vision, strategy, and objectives
• Identify and evaluate new business opportunities, technologies, and trends relevant to the mining industry and future of Rio Tinto
• Manage the incubation process from ideation to proof of concept, and thereafter ultimately to commercial scale-ups
• Work as one team with Ventures, helping generate projects from our start-up partners to help them scale and deliver impact
• Bring together and collaborate with Product Group, Functional and R&D stakeholders to leverage the capabilities and expertise relevant to each project
• Design and implement measures to assess and report on progress and value creation
• Contribute to a team culture of inclusiveness and foster collaboration, and be a relentless supporter of risk-taking by “playing to win” vs. “playing not to lose”
• Communicate complicated ideas in a simple way (verbal, written, slides) to a variety of internal and external stakeholders and senior leaders

What you’ll bring

• A commitment to the safety of yourself and your team
• Degree in a technical discipline
• Strong strategic thinking, analytical, and problem-solving abilities
• Outstanding communication (written and oral) and interpersonal skills
• A minimum of 10 years of professional experience, with a proven track record in start-ups, incubation, venture capital or similar
• Strong understanding of valuations, ideally in the context of heavy industry innovation
• Excellent leadership and management skills focused on leading by example

What we offer
Be recognised for your contribution, your thinking and your hard work, and go home knowing you’ve helped the world progress.

• A work environment where safety is always the number one priority
• A competitive salary package with annual cash incentive awards for eligible employees
• Career development & education assistance to further your ambitions
• Access top tier family-friendly health and medical programs and pension plan
• Wellbeing benefits
• Generous Rio Tinto employee share program
• Employee Assistance Program
• Ongoing individual wellbeing support for you and your family for personal and professional matter
• Leave for all of life’s reasons (vacation/annual, paid parental, sick leave)

About Rio Tinto

Rio Tinto is a leading global mining and materials company. We operate in 35 countries where we produce iron ore, copper, aluminium, critical minerals, and other materials needed for the global energy transition and for people, communities, and nations to thrive.

We have been mining for 150 years and operate with knowledge built up across generations and continents. Our purpose is finding better ways to provide the materials the world needs – striving for innovation and continuous improvement to produce materials with low emissions and to the right environmental, social and governance standards. But we can’t do it on our own, so we’re focused on creating partnerships to solve problems, create win-win and meet opportunities.

Where you’ll be working
Rio Tinto’s Innovation, Science & Technology Group (ISTG) is committed to advancing the frontiers of mining technology and finding better ways. By bringing together the best in talent and ideas, combined with fast decision making, we are committed to accelerating and incubating the highest value innovation projects for Rio Tinto, the mining or adjacent industries and our value chains.

Growth & Ventures is a new and exciting pillar of our ISTG team, combining our existing Venture Capital fund with a dedicated Growth team focused on Incubation and Commercial Scale-up capabilities.

Every Voice Matters

At Rio Tinto, we particularly welcome and encourage applications from Indigenous Peoples, women, the LGBTQIA+ community, mature workers, people with disabilities and people from different cultural backgrounds.

We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are essential to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation or anything else that makes us different.

Primary Responsibility

• Perform analysis using quantitative and qualitative research techniques.
• Translate internal memo, documents knowledge-based for research journal publishing.
• Perform statistical analysis (t-test, ANOVA etc) on dataset.
• Generate internal memo on research topics.
• Generate report and progress update for customer.
• Performs other duties as assigned by PI or co-investigator in the research team.

Job Requirements:

• Good knowledge and familiarity with research techniques; qualitative, quantitative, desktop, field research etc.
• Bachelor Degree or Diploma with with relevant experience Previous engagement with seniors and seniors related research is an advantage.
• Knowledge of MS Office, Excel software

Location: West

Position: Research Engineer (Water Industry/West)(18959)

Job Description

• Water samples and membrane foulant analysis by using advanced analysis equipment, such as TOC, LC-OCD, SEM-EDX, UV, etc.
• Work with team to ensure all lab equipment calibrations and inspections are up to date
• Control, monitor, and maintain the equipment and treatment processes in on-site pilot plant
• Analysis & update experimental results
• Assist in optimization of operation treatment as well as identifying the area for improvement.
• Technical report preparation
• Work with the team to help generate relevant SOPs (standard operating procedures)
• Ensure good housekeeping in the laboratory and pilot plant and be responsible for the safety and environmental compliance of the new processes.
• Work with team to source, develop and apply new treatment methods /processes /technologies

Job Requirement

• Bachelor's degree (or above) in Chemistry / Chemical/ environmental/material Engineering or other equivalent
• 1-2 years of relevant work experience, training provided as well.
• Strong communication skills in both oral and written English
• Have enthusiasm for R&D work

Interested applicants please send your resume to Calista (R22104418) with email subject header "Job Application for [Research Engineer (Water Industry/West)(18959)]".

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

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Effective from 1 October 2020 under the new Employment Agencies (EAs) Licence Conditions,

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Koh Siew Xing

EA Registration No: R22104418

Pasona Singapore Pte. Ltd.

EA License No:90C4069

Reporting to Chief Learning Officer, this position holder is responsible and accountable for leading the design, development, and research for his/her assigned portfolio of existing and new leadership programmes and solutions at HCLI.

Key accountabilities include:

DESIGN: The purpose of this accountability is to think creatively and generate innovative learning solutions.

• Design learning solutions for customised leadership programmes for corporate clients.
• Design new solutions for open enrolment leadership programmes.
• Design includes – but not limited to - content curation and creation, learning design, and innovating on learning solutions, etc.

DEVELOPMENT: The purpose of this accountability is to develop the innovative learning solutions into implementable programmes that produce the desired learning outcomes in support of client’s strategic objectives and learner’s leadership development objectives.

• Develop custom and open-enrolment leadership solutions by collaborating with subject-matter experts, faculty, and partners, etc.
• Development includes – but not limited to – cost and budget estimation, programme evaluations (e.g. after-action review or ‘AAR’), and managing “product life cycles”, etc.
• Development includes – but not limited to – updating existing leadership solutions, grant applications (e.g. SSG funding), and mapping to competency and skills frameworks, etc.

DELIVERY: The purpose of this accountability is to deliver effective learning and a great learning experience for corporate clients and individual learners, and in so doing, deliver on the value created for the client and learner, and capturing the associated value created for HCLI.

• Programme direction.
• Community stewardship.
• Facilitation and learning management.

RESEARCH: The purpose of this accountability is to deepen expertise and thought leadership in leadership for HCLI as a leading institute of leadership development and you as an individual subject-matter expert.

• Conduct research that contributes to building thought leadership on leadership.
• Conduct research that contributes to innovating on learning solutions.
• Research includes – but not limited to – producing articles for publications like HBR and SMR, writing cases, white papers, opinion pieces, etc.

AD HOC

• Lead and manage ad hoc strategic projects.

Knowledge and Skills:

• Digitally savvy – to be familiar with learning apps and virtual learning platforms
• Highly organised with good project management skills
• Highly creative and analytical with good problem-solving skills. Able to get things done in complex situation
• Understand fundamental theories and prevailing practices of corporate learning and leadership development
• Experience in instructional design, training delivery, and programme management
• Ability to interact with clients with a strong sense of customer service
• Confident in communicating with all levels of management
• Resourceful, meticulous and must have good financial sense
• Experience in conducting learning needs analysis and proven ability in designing customised programmes for senior executives, either independently or in partnership with an internal programme development team, that resulted in a high success rate of conversion
• Highly entrepreneurial and strong business acumen backed by a wide business network in Asia and beyond; experience in consultative selling, key account management
• Deep knowledge of the Leadership Development field and an interest and understanding of the emerging trends
• Experience in managing and representing a premium brand such as HCLI to a variety of clients and stakeholders from multinational to privately owned and government organisations
• Experience working in a multinational/international environment, working across cultures, is an advantage
• Excellent interpersonal, communication skills, presentation skills
• Strong project planning and coordination skills
• Able to adapt easily to new cultural environments, and to communicate with people from a variety of linguistic and educational backgrounds
• Good written and spoken English
• Experience in personality and leadership profiling/ assessment instruments will be an added advantage
• Conversant in a second Asian language is a plus

Education:

• Degree Holder in Organisation Development, Psychology, Training or Business. A Masters or PHD Degree will be advantageous

Experience:

• Minimum 5 years of relevant experience in Leadership Development/Executive Education/Learning & Development/ Organisational Development, or related Consulting/Professional experience(s).

Interested applicants are invited to apply directly at the NUS CareerPortal.

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

We regret that only shortlisted candidates will be notified.

Job Description

We are the NUS AIoT Group, led by NUS Presidential Young Professor Wang Jingxian (https://www.comp.nus.edu.sg/cs/people/wangjx/) in the CS Department of the National University of Singapore. We invite applications for the position of Post-doctoral Researcher. The successful applicant will work with Prof. Wang within the NUS AIoT Group.

We pursue research and develop disruptive technology in satellite network, wireless systems, sensing, and AI. We build working systems, engage with industry (e.g., Microsoft, Google Research, and Amazon), publish top-tier scientific papers, and release software for the research community. Individuals in our group publish in top academic conferences including:

• ACM (Association for Computing Machinery) SIGCOMM (Special Interest Group on Data Communication),
• ACM MobiCom (International Conference on Mobile Computing and Networking)
• ACM MobiSys (International Conference on Mobile Systems, Applications, and Services)
• USENIX (Advanced Computing Systems Association) NSDI (Symposium on Networked Systems Design and Implementation)
• CHI (Conference on Human Factors in Computing Systems)
• ICRA (International Conference on Robotics and Automation)
• Nature Communications

We seek candidates excelling in deep thinking research, advanced development, and fast-paced entrepreneurial execution. Applicants should be fluent in the relevant state-of-the-art research with outstanding programming skills and demonstrate experience in experimentation and implementation.

Qualifications

• Doctorate in Computer Science or a related technical field, equivalent experience, or or expecting to receive it within six months.
• Experience with one or more general purpose programming languages such as C/C++, Java, or Python.

Additional or Preferred Qualifications
• Experience (academic or work related) in one or more areas of computer science.
• Experience contributing to research communities and/or efforts, such as publishing papers at conferences and/or community testbeds.
• Should be able to take initiative, but also work well as part of a team.
• Excellent critical thinking and communication skills.

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.

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

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

The role will entail some of the below listed responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solution

Minimum qualifications and skills required across role types are highlighted below:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Minimum 3 year of experience in marketing modeling
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiative
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Interested applicants are invited to apply directly at the NUS CareerPortal.

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

We regret that only shortlisted candidates will be notified.

Job Description

This job aims to address some critical issues in the development of a multi-dimensional photodetector capable of simultaneously capturing optical information such as polarization, wavelength, and optical angular momentum. The main targets are threefold:

1. Understand in depth about the fundamental properties of light including helicity, chirality, polarization, and optical angular momentum. Investigate how these light properties interact with materials and/or structures with different symmetry properties. Research directions include chiral / nonreciprocal / nonlinear optical processes, integrated photonic devices, etc.

2. Study the symmetry properties of 2D materials as well as metasurfaces and nanostructures. The targeted design of a multi-dimensional photodetector should utilize these symmetry properties to enhance the effectiveness, robustness, and responsivity of photodetection of the various optical information, including but not limited to polarization and optical angular momentum.

3. Find the practical schemes to implement a multidimensional photodetector by integrating 2D materials / Tellurides with nanostructures that can allow effective, robust, and simultaneous photodetection of polarization, optical angular momentum, etc. The practical devices should also possess ultrathin nature, the ability to convert multidimensional light information to electrical signals, and the ability to operate at room temperature. At last, one or two prototypical designs should be experimentally demonstrated.

Considering the above research targets, the candidate should possess in-depth physical insights and interdisciplinary knowledge of 2D materials, symmetry analysis, metasurfaces etc. Practical experience in the design, fabrication, optical characterization and measurement of optical devices is preferred.

Qualifications

1. PhD degree in Electrical Engineering, Photonics, Physics or relevant area with a strong background in the design, fabrication and optical measurement of 2D materials and/or nanostructure.

2. Working experience in the design and fabrication of 2D material-based optical devices, optical characterization and measurement of optical devices.

3. Mathematics and physics knowledge in band theory, symmetry analysis, optics, and electromagnetics.

4. Technical proficiency:
• Experience in preparation/exfoliation of layered materials for making optical devices;
• Optical path setup and optical measurement under room and low temperature involving the photoluminescence and photodetection of optical information such as polarization and wavelength.

Candidate should have strong publication records in reputed international journals in the field of photonics or optics, specifically focusing on the investigation and manipulation of optical properties of 2D materials and/or nanostructures.

A Research Officer is needed for Nick Barker's Epithelial Stem Cell & Cancer Group.

Key Responsibilities:

The successful candidate will be expected to help manage our mouse colony (implementing and managing complex breeding regimes, weaning, time-pregnancies, surgeries, tail clipping etc). The candidate will be expected to perform these tasks independently after the requisite training has been given.

In addition, he/she will assist research fellows with performing standard lab work and experimental mouse procedures, including tissue processing, histology, and cell culture, as well as contributing to general lab tasks.

Key Requirements:

Bachelor's Degree in biology or related field.

Prior experience in working with mice is highly advantageous, but not essential.

Successful candidates must have a passionate enthusiasm for research, be self-motivated, highly organized, enjoy working as a team and have good communication skills.

Interested applicants are invited to apply directly at the NUS CareerPortal.

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

We regret that only shortlisted candidates will be notified.

Job Description

The Mechanobiology Institute, Singapore is a multidisciplinary institute committed to develop new paradigms for biomedical research by focusing on the quantitative analysis of dynamic functional processes. Through quantitative biophysical approaches, we address major problems in biomedical sciences including pathogenesis (from bacterial to cancer), tissue regeneration, and function.

We are seeking to recruit a Research Associate at the Mechanobiology Institute, NUS, to join Associate Professor Yusuke Toyama's research group. Candidates are expected to have a good understanding and skills in cell and molecular biology. The successful candidate will have the opportunity to work with cutting-edge methodologies and instrumentation that complement and augment the capabilities of individual research laboratories.

Qualifications

1. Master's degree in life sciences or biomedical disciplines.
2. At least 2 years of experience working in a research lab
3. Experience in cell/ tissue culture and molecular biology.
4. Excellent communication and organizational skills.

As a Database Engineer, you will play a crucial role in the design, development, and maintenance of our databases including HPC job, system monitoring, benchmarking, and scientific databases. You will collaborate with cross-functional teams of HPC domain experts, software engineers, and scientists to ensure the efficient storage, retrieval, and analysis of data. This position offers a unique opportunity to contribute to ground-breaking research for our stakeholders.

Key Responsibilities:

• Database Design and Development: Design and implement robust, scalable, and efficient databases and optimize database performance for data storage, retrieval, and analysis.
• Data Integration: Collaborate with stakeholders and NSCC consultants and technical team members to integrate diverse datasets into the database and Implement and maintain data pipelines for seamless integration of new data sources.
• Quality Assurance: Develop and implement data quality control measures to ensure accuracy and consistency as well as monitor and troubleshoot data integrity issues, implementing corrective actions as needed.
• Collaboration: Work closely with cross-functional teams, HPC domain experts, software engineers, and scientists, to understand data requirements and user needs and provide technical expertise and support to ensure effective collaboration.
• Documentation: Maintain detailed documentation of database architecture, data models, and processes and contribute to the development of best practices for data management and storage.
• Reporting: Communicate findings through presentations, and reports for NSCC as well as stakeholders/collaborators.

Qualifications:

• Bachelor"s or Master"s degree in Computer Science, or a related field.
• Proven experience in database design, development, and optimization. Experience with bioinformatics or life sciences is a plus.
• Proficiency in relevant programming languages (e.g., SQL, C/C++, Python) and experience with database management systems (e.g., MySQL, PostgreSQL).
• Familiarity with NoSQL and distributed databases (MongoDB, ElasticSearch, ETCD).
• Experience with server-based and high-performance computing.
• Familiarity with bioinformatics tools and resources, and an understanding of biological data types and formats.
• Familiarity with Linux command line, system administration, scripting, and software tools.
• Familiarity with software version control process and tools (e.g. git, github, gitlab).
• Strong problem-solving skills and the ability to work collaboratively in a dynamic team environment.

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.

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

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

The role will entail some of the below listed responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solution

Minimum qualifications and skills required across role types are highlighted below:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Minimum 1 year of experience in marketing modeling
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiative
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Interested applicants are invited to apply directly at the NUS CareerPortal.

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

We regret that only shortlisted candidates will be notified.

Job Description

Singapore is looking for ways to reduce waste and improve food security. Both are accomplished by recycling food waste with black soldier flies (BSFs). By feeding on food waste, fly larvae convert organic matter into compost fertilizer which can be used for high-tech vegetable farming, and into protein-rich feed for fish, chicken and other livestock.

We are currently seeking a motivated and dedicated lab technologist or research assistant to join our team. You will work with other research assistants to oversee the day-to-day operations of the BSF rearing facility and assist researchers and students with their projects. Applicants should be enthusiastic about environmental causes and food security, be comfortable handling insects and food waste, and be comfortable confronting and solving challenges independently.

This position involves working with fresh food waste/scraps, insect larvae and adult flies daily. On-the-job training is provided. Alongside your colleagues, you will be tasked with the following:

● Collecting and preparing food waste for the larvae
● Maintenance of insect cages and breeding facilities
● Overseeing the fly cultures
● Assisting researchers and students with experiments
● Other tasks assigned.

Key requirements for this role include:
• Able to cope with repetitive work.
• Strong problem-solving skills
• Ability to work independently and in a team.
• Good organizational skills
• Comfortable handling food waste and insects
• Experience with maintaining insect cultures is highly desirable.

Qualifications

Bachelor’s degree holder, preferably in fields relating to environment and life science.

Interested applicants are invited to apply directly at the NUS CareerPortal.

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Statistics and Data Science at the National University of Singapore invites applications for Departmental Postdoc Positions. These non-tenure track positions are aimed at early-career researchers, particularly recent or soon-to-be Ph.D. graduates, with research interests that overlap or complement those of our faculty members.

The Department of Statistics and Data Science is one of the leading departments of its kind in Asia and globally. Comprising close to 40 full-time faculty members and around 70 research staff and PhD students, along with a strong network of industry affiliates, the department fosters a comprehensive and engaging research and educational environment in the areas of statistics and data science.

The postdoctoral positions offer an initial two-year appointment with the potential for a one-year extension. Successful candidates will receive a competitive annual salary of up to SGD90,000, along with generous travel support. Additionally, candidates will be provided with relocation and housing allowance. Teaching responsibilities involve two courses per year.

Qualifications

• Qualifications / Discipline: PhD in Statistics, Data Science, Mathematics or other relevant discipline
• Skills: Able to do independent research.
• Experience: Research experience in statistics, data science, mathematics or other relevant discipline

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including pro-inflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

1. Design and development of an innovative RNAi-based strategyfor therapeutic intervention of the target gene;

2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex-vivo and in-vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology with at least 5 years of relevant experience
• Capability for conducting high-quality research with a collaborative and international research environment
• Highly motivated and able to work as a team
• Willingness and ability to develop new skills
• Excellent oral, written communication and organizational skills
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work 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.

Job Description

Our client is focusing on R&D activities which are the development of new RO chemical product, water reuse technologies and membrane related products.
They are looking for highly motivated candidates with relevant training and expertise in water treatment process and technology

Roles & Responsibilities
-Water samples and membrane foulant analysis by using advanced analysis equipment, such as TOC, LC-OCD, SEM-EDX, UV, etc.
-Work with team to ensure all lab equipment calibrations and inspections are up to date
-Control, monitor, and maintain the equipment and treatment processes in on-site pilot plant
-Analysis & update experimental results
-Assist in optimization of operation treatment as well as identifying the area for improvement.
-Technical report preparation
-Work with the team to help generate relevant SOPs (standard operating procedures)
-Ensure good housekeeping in the laboratory and pilot plant and be responsible for the safety and environmental compliance of the new processes.
-Work with team to source, develop and apply new treatment methods /processes /technologies

Job Requirement

-Bachelor's degree (or above) in Chemistry / Chemical/ environmental/material Engineering or other equivalent;
-1 years of relevant work experience preferred, no experience welcome
-Strong communication skills in both oral and written English
-Have enthusiasm for R&D work
-Self-motivated, able to work independently and with a team to completion of a task

Interested applicants pls send in a copy of your resume with your current, expected salaries and availability in Microsoft Word format to Low See Wei (R1551122) for immediate processing.

Kindly indicate in your email subject title as "Job Application for 18959 Research Engineer/Assistant Research Engineer (Water Treatment, West Area) SW228"

Only shortlisted candidates will be notified, other applications will be updated to our database for future job opportunities

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A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including pro-inflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on multiple projects which involve:

1. Design and development of an innovative RNAi-based strategyfor therapeutic intervention of the target gene;

2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex-vivo and in-vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• Capability for conducting high-quality research with a collaborative and international research environment
• Highly motivated and able to work as a team
• Willingness and ability to develop new skills
• Excellent oral, written communication and organizational skills
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work 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.

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

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.

PhD and Postdoctoral positions in single cell algorithms and data analytics: Analysis of Human diversity in the Human Cell Atlas (HCA)

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• Experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

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.

Job Description:

Dissecting the metabolic control of cancer cell states

Job Requirements:

• PhD in molecular biology, genomics, or a related field
• Conduct wet-lab experimentation, writing up projects and manuscripts, mentoring students, managing logistics, collaborating with clinicians and partners
• Ability to work independently and collaboratively with other team members
• Excellent organizational skills and attention to detail

*candidates may also be considered for positions in other laboratories

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.