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Research Scientist
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You will be involved in photonics projects handling through design, fabrication, and characterization. You will be working with an excellent multidisciplinary team from photonics and FAB.
Job Responsibilities:
- Project management and execution with target deliverables and schedule.
- Fabrication of silicon photonics integrated circuits based on silicon photonics platform.
- Independently carry out opto-electronic characterization to verify device / circuit design and performance.
- Design / optimize photonic integrated circuit for various applications.
- Test result documentation and performance analysis.
- Performs other duties as assigned. Duties will vary according to the project progress and/or the specific goals of the company
- Collaborate with project team members to ensure device meets specification and verify device's performance
- Ph.D in Integrated photonics or Electrical / Electronics
- Hands-on experience in silicon photonics, especially for photonic circuit design
- Hands-on experience in photonic simulation using software such as Lumerical / Rsoft, Electrical simulation using software such as Ansys / Synopsys / Silvaco and Layout drawing
- Preferred experience in high-speed devices (MOD / PD) design / characterization
- Experience in fabrication of silicon photonics is a bonus point
- Strong self-motivation and interest on silicon photonics
- Strong oral and written communication skills and demonstrated ability to work in a team-oriented environment
- Problem analysis and problem solving skill
Research Scientist
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Job Summary
We are seeking a highly skilled Research Associate to join our team. The successful candidate will work on data-driven research in the field of machine learning and applied data science under a project on "Regularization and Stabilization of Port-Hamiltonian Descriptor Systems".
Main Responsibilities
- Design, develop, and evaluate machine learning models
- Collect, clean, and manage datasets from various sources
- Conduct literature reviews and benchmarking experiments
- Implement data pipelines and model evaluation frameworks
- Prepare research reports, documentation, and presentation materials
- Collaborate with other researchers and support academic publications
Qualifications and Skills
- Master's degree or above in Data Science, Statistics, Mathematics, or a related discipline
- Strong academic background in machine learning, algorithm design, or quantitative analysis
- Proficient in Python and familiar with data science libraries such as NumPy, Pandas, scikit-learn, and visualization tools (e.g., matplotlib, seaborn)
- Experience with at least one deep learning framework (e.g., PyTorch, TensorFlow)
- Familiarity with data preprocessing, feature engineering, and model evaluation techniques
- Ability to manage and analyze large datasets (structured and unstructured)
- Good communication skills, attention to detail, and ability to work both independently and collaboratively
Preferred Qualifications
- Prior exposure to academic research, internships, or industry projects involving data analysis or machine learning
- Experience with natural language processing, computer vision, time-series analysis, or multimodal data integration is an advantage
- Experience preparing reports, presentations, or contributing to academic work during research projects is also advantageous
What We Offer
This is an excellent opportunity for a motivated and talented individual to contribute to cutting-edge research and gain valuable experience in machine learning and data science.
Key Performance Indicators
- Successful implementation of machine learning models
- Effective management and analysis of large datasets
- Collaboration with other researchers to achieve project goals
How to Apply
If you are a highly motivated and organized individual with a passion for machine learning and data science, please submit your application.
Research Scientist
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For more details, please view are seeking an accomplished and visionary scientist to lead Singapore Max Planck Alliance for Sustainable Chemical Conversion of Biomass under the CREATE Thematic Programme in Decarbonisation. This role serves as the primary scientific representative the project and is responsible for executing the research vision in collaboration with local and international partners. The successful candidate will drive the development and scale-up of continuous flow chemical systems and novel catalytic pathways, contributing to global advancements in sustainable chemistry and renewable feedstock utilization. The candidate will also be responsible for cross-institutional coordination, lab commissioning, team building, and research translation, ensuring smooth integration across NTU, MPI, and other stakeholders.
Key Responsibilities:
- Provide scientific leadership and direction for a multidisciplinary research team focused on biomass valorization and continuous-flow process development.
- Act as the scientific and operational anchor between MPI (Germany) and NTU (Singapore), facilitating effective cross-national coordination.
- Lead the design, commissioning, and operation of the Automated Flow Chemistry Laboratory, including layout design, staffing, and procurement.
- Drive the development and optimization of closed-loop, automated flow chemistry systems for biomass valorization, integrating data-driven design and in-line analytics.
- Ensure effective project management, team coordination, and progress reporting, while maintaining high standards of safety and scientific rigor.
- Mentor and guide a team of 5-6 researchers, including Research Fellows and Assistants.
- Oversee project progress, ensure milestone achievements, and contribute to the drafting of research proposals and industrial engagement activities.
- Disseminate results through high-impact journals, patents, and global conferences.
- Represent MPI in administrative, academic, and strategic discussions, including engagement with CREATE leadership and NRF stakeholders.
- Doctoral degree in Chemical Science, Chemical Engineering, Chemistry, or a related field.
- Strong expertise in flow chemistry, automation, Chemputer-based platforms, and closed-loop experimentation.
- Experience in digitalization of chemical synthesis, lab automation, and pilot-scale system development.Strong research portfolio with high-impact publications
- Demonstrated leadership in interdisciplinary or international research projects.
- Experience in managing lab-scale to pilot-scale chemical processes, including automation, scale-up, and data-driven optimization.
- Prior involvement in programme proposal writing, lab layout design, and research coordination is a strong plus.
- Excellent organizational, communication, and interpersonal skills with the ability to lead diverse teams and manage cross-institutional collaborations.
Research Scientist
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The role of the chemist assistant involves conducting various laboratory tests using advanced instruments such as UV-VIS, IC-POES, FIA, GC-MS etc.
The goal is to deliver prompt testing results to customers.
- Perform chemical analyses using sophisticated equipment
- Carry out sample examination and deliver results in a timely manner
- Maintain laboratory equipment in a clean and functional state
- Conduct calibration and prepare reagents when necessary
- Prepare annual assessments and collaborate with external audit teams
- Ensure a well-organized and safe laboratory environment
- Assume new responsibilities as needed, such as training interns during their internship in the lab
- Degree in Chemistry or relevant field
- Diploma in Chemical Process or relevant field
- Fresh graduates welcome to apply
- Excellent teamwork and communication skills
- Self-discipline and willingness to learn and solve issues
- Able to work in a fast-paced environment
Research Scientist
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Wilmar International Limited is Asia's leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.
Job Summary
We are currently hiring for a position of Research Scientist to join Wilmar's corporate lab ( ). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for food product development.
Requirements:
- Team player and ability to communicate technical concepts to lay people
- Ability to code in a few languages - R, python, java, bash
- Knowledge in bioinformatics (sequence analysis, protein structure prediction)
- Knowledge in AI backend, e.g. tensorflow, pytorch
- Knowledge in optimizing ML or AI models to meet target specification
- Apt learner and versatile in applying new computational techniques to solve open problems
- Manage and preprocess data
- Code and script based on specified tasks
- Statisticalanalysis and machine learning experience in the following areas:
- Supervised learning
- Unsupervised learning
- Sampling algorithms
- Deep learning algorithms
- Summarizing results for reporting purposes
- Participate in seminars and research-in-progress meetings within the team and collaborators
- Write and publish scientific papers and patents
• At least a PhD in any of the following areas: statistics, data science or computer science
Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.
Research Scientist
Posted today
Job Viewed
Job Description
Wilmar International Limited is Asia's leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.
Job Summary
We are currently recruiting a position for a Research Scientist to join Wilmar's corporate lab ( ). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for optimizing enzyme production.
Requirements:
- Team player and ability to communicate technical concepts to lay people
- Ability to code in a few languages - R, python, java, bash
- Knowledge in bioinformatics (sequence analysis, protein structure prediction)
- Knowledge in AI backend, e.g. tensorflow, pytorch
- Knowledge in optimizing ML or AI models to meet target specification
- Apt learner and versatile in applying new computational techniques to solve open problems
- Manage and preprocess data
- Code and script based on specified tasks
- Statistical analysis and machine learning experience in the following areas:
- Supervised learning
- Unsupervised learning
- Sampling algorithms
- Deep learning algorithms
- Summarizing results for reporting purposes
- Participate in seminars and research-in-progress meetings within the team and collaborators
- Write and publish scientific papers and patents
• At least a PhD in any of the following areas: statistics, data science or computer science
Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.
Research Scientist
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We are currently seeking a highly qualified Research Fellow to contribute to our team's research endeavors at the National University of Singapore. The successful candidate will be responsible for conducting in-depth studies on complex fluid flows through intricate domains, taking into account non-linear conditions such as rheological variation and temperature and pressure dependence.
Key Responsibilities- Develop sophisticated computational models and analytical techniques to simulate complex fluid flows
- Apply asymptotics, perturbation expansions, micro-hydrodynamics, and electrohydrodynamics to gain profound insights into fluid behavior
- Utilize programming languages like Python, Fortran, C++, and parallel computing to analyze data and extract meaningful patterns
- Publish research findings in prestigious peer-reviewed journals related to fluid mechanics
- A Ph.D. degree in relevant fields such as Mechanics, Applied Mathematics, Computer Science, or Mechanical Engineering is mandatory
- Substantial experience in asymptotics, perturbation expansions, micro-hydrodynamics, and electrohydrodynamics is required
- A strong publication record in peer-reviewed journals for fluid mechanics is essential
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Research Scientist
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COMPANY DESCRIPTION
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.
Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
RESPONSIBILITIES
The candidate will be responsible for conducting research to build a generalizable and interactive 3D medical image segmentation model that can significantly boost clinical efficiency. Successful candidate will be part of an active research team led by Associate Prof SUN Qianru from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).
Candidate's core responsibilities are:
- Design, implement, and iteratively improve the three core imSAM components within a unified 3D medical-image framework.
- Generate large-scale synthetic MRI, CT, and X-ray datasets; coordinate secure access to real clinical data; and enforce data-privacy protocols and anonymization standards.
- Plan rigorous ablation studies and cross-modality benchmarks, assessing generalization across organs (e.g., liver, tumor, kidney) and imaging modalities; track performance metrics and error analysis for both common and rare conditions.
- Interface with radiologists and surgeons to collect expert prompts, refine interactive workflows, and translate feedback into model or UI improvements that enhance real-time segmentation usability.
- Lead paper preparation, conference presentations, open-source releases, and assist the PI with progress reports, grant milestones, and future funding proposals linked to imSAM's roadmap.
- Other duties as assigned.
QUALIFICATIONS
- Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning; with particular focus on deep-learning based AI techresearch.
- Minimum 5 years of relevant research experience in deep learning, multimodal data processing (especially visualdata processing), and domain generalization.
- Proficiency in programming software/languages such as PyTorch and TensorFlow will be positively considered/ is required
- Proven track record and professional experience in deep learning and computer vision
- Demonstrated experience and know-how on interactive AI techniques in multi-modality data
- Ability to break down complex problems and design effective solutions
- Innovating new approaches and thinking outside the box
- Applicants with research publications in machine learning and computer vision areas will be advantageous
- Ability to work cooperatively as part of a small, agile academic research team is essential.
- Self-motivated individual who can work independently and collaboratively with team members
OTHER INFORMATION
#LI-JN2
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University
Tell employers what skills you have
Machine Learning
Data Analysis
Teaching
LaTeX
Microsoft Visual Studio C++
Computer Science
Matlab
Programming
Research
Algorithms
Research Scientist
Posted today
Job Viewed
Job Description
COMPANY DESCRIPTION
Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.
Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.
RESPONSIBILITIES
The successful candidate will be working with a dynamic, progressive, and close-knit research group to develop the next-generation AI for financial and investment applications. We aspire towards world-class research, high-quality publications, and real-world impact.
- Conducting research on data mining and machine learning for finance and investment
- Designing, building and maintaining research systems and data infrastructure
- Publishing research results in reputable venues
- Pursuing collaborations with potential industry partners to create real-world impact
- Project management and administration
- Other duties as assigned
QUALIFICATIONS
- PhD degree from a reputable university in Computer Science or another relevant discipline
- Strong research capability as evidenced by good publication and citation records
- Knowledge of data mining and machine learning research literature. Topics considered particularly relevant include deep learning, topic modelling, recommender systems, natural language processing, information extraction
- Competency in major programming languages such as Java, C, Python
- Good written and oral communication skills
- Ability to work both as part of a team and independently
- Ability to work under strict deadlines
OTHER INFORMATION
#LI-JN2
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University
Tell employers what skills you have
Machine Learning
Data Analysis
Teaching
LaTeX
Microsoft Visual Studio C++
Computer Science
Matlab
Programming
Research
Algorithms
Research Scientist
Posted today
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Job Description
The Synthetic Biology Translational Research Programme at the National University of Singapore is seeking a talented postdoctoral researcher to join its team. The programme aims to repurpose synthetic biology for positive clinical impact, focusing on developing therapeutic cells against human disease and promoting planetary health.