Job Duties

• Lead digital services in new business initiatives, incl. writing proposals, creating estimates and presentations and actively participate in RFPs and pitches as needed.
• Provide Solution Consulting to Customers and give intelligent response.
• Responsible for the satisfaction and growth of accounts, and able to identify opportunities for growth and incremental opportunities with client.
• Manage client escalations and conflict resolution.
• Develop and sustain strong working relationships with customers, management, development team, test, IT peers and vendors
• Proactively manage changes in project scope, identify potential crises, and devise contingency plans
• Taking ownership of client needs/requests and facilitates their completion.
• Participation in key client meetings including status update meetings and presentation of project deliverables
• Delivers engaging, informative, well-organized presentations
• Maintaining profitability of engagements in partnership with project management

Qualifications & Skills

• Minimum Degree in Information Technology, Computer Science, or in digital media , Communications or related degree
• At least 1 year of experience in handling managing digital accounts and integrated digital projects.
• Able to handle multiple tasks/projects simultaneously
• Customer-oriented person with excellent communication skills, written and verbal
• Excellent at relationship building and interpersonal skills.
• Ability to maintain poise, confidence and professional disposition under high-pressure situations
• Candidates with no experience are welcomed
• Fluent in English and Mandarin

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

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 the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

Job Description:

• Assist in the identification, validation and selection of unmet clinical needs
• Engage in solution generation and prototyping
• Conduct testing, create supporting documentation required for patenting and regulatory approval
• Work with partners on commercialization strategy.
• Drive project tasks to ensure timely completion
• Support Innovation team in brainstorming and technical design.
• Initiate collaboration initiatives to support innovation
• Support basic risk assessment of proposed solutions with consideration to regulatory requirements and conducting clinical need filtering and de-risking.
• Under the direction of supervisor need to support execution of clinical studies.

Qualifications / Experience:

• Master’s or Bachelor’s Degree in Biochemistry, Chemistry, Chemical Engineering, Biomedical Engineering, Biotechnology, Information Technology, Computing or Software Engineering
• At least 2-3 years of prior experience in the following areas will be an advantage: medical technology innovation leading to the development of concept ideas into products, in-vitro or in-vivo diagnostics or assay development for mobile platforms, and application development and/or deployment
• Excellent people management and communication skills
• Excellent problem solving skills with strong focus in technical writing
• Basic knowledge in ISO 13485, ISO14155, Good Clinical Practice (GCP), Regulatory Affairs, Medical Device Standards
• Meticulous, responsible and passionate individual

Company Information:

Nitto Denko Asia Technical Centre Pte Ltd (hereinafter called NAT) was set up in September 2008 in Singapore. NAT has a corporate office at Singapore's world-class research hub, Biopolis. NAT's mission is to develop the Integrated Organic Optoelectronic for Biosensor Application. To achieve this mission, NAT is carrying out many concurrent reseach projects with top reseach institutions both inside and outside Singapore.

Employment

Expand your abilities and create a better future with Nitto.

What do we offer:

• AWS payout
• Medical-dental and life insurance
• Flexible benefit
• Training and career development opportunities
• Working experience in a Japanese MNC company
• Inclusive work environment

Company address: 3 Biopolis Drive #03-17/18 Synapse, Singapore 138623.

Nearest MRT: Buona Vista MRT

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 postdoctoral fellow will work closely with Asst. Prof. Patrick Rebentrost in the intersection of quantum algorithms and optimization, machine learning and/or finance. Sample topics include quantum algorithms for problems in supervised and unsupervised machine learning, algorithmic learning theory, and online learning, and quantum algorithms for financial problems such as portfolio optimization, pricing of financial derivatives, and hedging. The job will include the development of quantum algorithms in these areas, with provable quantum advantages and provable guarantees, when possible, in fault-tolerant models of quantum computation. The job will also include the development of algorithms that are easier to execute on available hardware such as variational and post-variational methods and quantum approximate optimization. Furthermore, the aim is to provide hardware implementations on available devices, comparisons between available hardware providers, and classical simulations of the quantum algorithms. For this purpose, the successful applicant will be granted significant independence concerning their research and receive generous travel funding. They will be expected to contribute to the group, for example by co-supervising student projects and assisting with outreach activities.

Qualifications

• Track-record working on quantum algorithms and/or quantum information. Candidates with expertise in other aspects of quantum computing such as quantum machine learning, near-term quantum algorithms, quantum approximate optimization are encouraged to apply.

• PhD in electrical engineering, computer science, physics or applied mathematics.

• Well-rounded research profile and ability to communicate research.

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.

Job Description

Our PLSE research group in National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). We are looking for a highly skilled and motivated research assistant to join our team and help in ongoing projects related to large language modelling. This role involves conducting advanced research and development in the field of AI and SE, with a focus on improving the robustness and effectiveness of large-scale models. The candidate will play a key role in devising innovative algorithms, conducting experiments, and contributing to the advancement of our technology and products.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience in the following research areas:

• Artificial Intelligence and Machine Learning
• Programming Languages & Software Engineering

Key Responsibilities
• Assist in research projects assigned.
• Design and implement algorithms to enhance the efficiency and robustness of AI systems.
• Publish research findings in top-tier conferences and journals.
• Collaborate with cross-functional teams to integrate AI solutions into products.

Only shortlisted candidates will be notified.

Requirements

• A Bachelor’s or higher degree with Honours in Computer Science or a relevant area (e.g., Math, Analytics).
• Proven experience in research of large language models and deep learning algorithms.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.
• Ability to conduct independent research and solve problems.
• Experience in research paper writing.
• Good communication and collaboration skills.
• Experience with adversarial training and algorithm optimization is a plus.

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 Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is in search of candidate for a research engineer position to assist in Prototype Development. The candidate will work closely with our researchers, students, and professors to understand and derive insights from scientific experiments and data. The successful candidate will be assisting in the research of microelectronic devices and circuit designs for reliable hybrid component integration from a thermomechanical aspect to enable broad class of applications for dual-use relating to IoT microelectronics and Flexible Hybrid Electronics (FHE).

Responsibilities will involve:

1. Develop and design thermomechanical experiments, prototypes, and proof-of-concept models to test hypotheses.
2. Identify engineering challenges and work on solving complex technical problems.
3. Gather and analyze data from experiments and simulations.
4. Create prototypes of new products or systems
5. Maintain accurate and detailed records of research activities, methodologies, and results.
6. Collaborate with other engineers, scientists, and researchers to achieve project goals.
7. Assist in equipment purchase, commissioning, and ownership.

(Interested applicants should send their curriculum vitae via email to [email protected]).

Qualifications

• A master’s or higher degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• At least 2 years’ relevant work experience, and good knowledge, skills and expertise in relevant field.
• Candidate with experience in microelectronic research, characterisation, metrology and electrical testing, and strong in data analysis will have an advantage.
• Knowledge of thermal and thermomechanical modelling and analysis.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• Open to Fixed Term Contract.

Job Description

Perform a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator (http://www.digitalmedicinelab.org/):

• Apply statistics and machine learning techniques to analyse various types of clinical data such as large-scale electronic health records, biosignal data, and/or medical images.
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in medical informatics and health data science.
• Write high-quality technical/methodological research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Perform other academic duties as required by the Principal Investigator.

Job Requirements

• Bachelor or master’s degree in computing / biostatistics / epidemiology / engineering with good mathematical knowledge and some research experience in machine learning and statistics.
• Good programming skills in R or Python.
• Having interests in applying statistics and machine learning to solve real-world medical problems.
• Willing to conduct independent research as well as support team research activities.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Global Asia Institute at the National University of Singapore invites applications for a postdoctoral research fellow position. The Institute is seeking scholars with strong skills in applied empirical methods and econometrics, with research interests in behavioral economics and/or health economics. Candidates should have an outstanding record in accredited PhD program in economics or related fields.

The Institute is well supported by a team of research assistants. Successful candidates will collaborate with a team of passionate researchers to work on projects which have immediate policy and commercial implications.

There will be no teaching obligation for the first contract. Salaries are globally competitive and commensurate with the candidate's qualifications, track record, potential, and experience. Shortlisted candidates will be notified of an online interview

Qualifications

An outstanding record in accredited PhD program in economics or related fields

Four Seasons Hotel Singapore

A luxury hotel in Singapore that escapes into a quiet garden enclave in the heart of the city – steps from Orchard Road shops and entertainment, and just minutes from the financial district. Enter a world that is intimate and exclusive, yet complete in every way, with award-winning dining and 24-hour fitness. A warm, residential ambience showcases over 1,500 Asian art pieces, and thoughtful Four Seasons care elevates every moment.

Housekeeping Associate (Administrative Assistant)

The Housekeeping Associate (Administrative Assistant) acts as the main point of contact in the Housekeeping Operation. This position assigns rooms to Room Attendants, dispatches Houseman and Runners on requests and supports the overall day-to-day efficiency of the Housekeeping Operation.

Individuals who possess a high level of attention to detail and a strong work ethic. Strong communication skills are required. The ability to multitask and prioritize is essential.

Join us Now!

With a culture built on mutual respect, a growing world of opportunities and an environment that supports the personal drive for excellence, a Four Seasons career can be exceptionally rewarding.

• Career growth opportunities
• Unique strong culture
• Best-in-industry training
• Complimentary stays at Four Seasons properties (based on availability), with discounted meals
• Paid holidays/vacation
• Dental and medical/disability/life insurance
• Employee service awards/Birthday Gift
• Annual employee party/social and sporting events
• Complimentary meals in a dedicated employee restaurant

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The candidate will participate to the development and design of a quantum processor using neutral atoms array. In particular, participate to the design of the vacuum system, characterisation of the laser system, implementation of the optical systems, and interfacing of the experimental setup.

Job Requirements

• A Bachelor degree in Physics;
• A successful experience in atomic physics or related fields

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 successful candidate will work with Professor Barbaros Ozeyilmaz on energy storage and conversion under a project on Towards Commercializing Monolithic Graphene Nanofoam Supercapacitors for Space Applications: Hybrid Power Applications and Ta Capacitor Replacement.

The main responsibilities of the position include:

• Building upon our ground breaking work in 2D amorphous carbon (Synthesis and properties of free-standing monolayer amorphous carbon (MAC), Nature 577, 199 (2020)), we embark on a bold exploration into the uncharted territory of precisely engineered 3D version of MAC structures. This novel technology, a testament to our team's innovative spirit, holds immense promise for revolutionizing materials science and unlocking a plethora of real-world applications.

• The successful candidates will be conducting their high impact research in -

1. Nanoscale engineering of 3D graphene foam and its supercapacitor application under extreme working conditions which battery cannot cover. New applications in extreme environments such as short run memory and pressure gauges in downhole environment, implantable medical devices, cold temperature aerospace applications and IoT devices etc.

This project is in collaboration with National institute and industries (e.g. ST Engineering and DSO, etc).

2. Hybrid nano-composite 3D foam synthesis for high Energy Battery.

• New battery development with high energy and power densities for automotive, satellite, train & microgrid applications. Targeting new energy conversion/storage application.

Qualifications/Requirements/Other Info

• Qualifications / Discipline: Candidates must hold an internationally-recognized PhD degree (or equivalent) preferably in electrochemistry, material science, Nanoscience, or equivalent. The candidate should have a proven track record of excellence in experimental research.

• Skills: Candidates with experience in energy storage applications (supercapacitors/batteries), characterization and material synthesis are highly encouraged to apply.

• Experience:

>2 years as research fellow level, plus

>3 years research experience Energy storage projects

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 successful candidate will work with Dr. Boxiang Liu on leveraging functional genomics approaches to understand the molecular mechanisms of complex diseases.

The main responsibilities of the position include:
- High-throughput CRISPR/Cas9 screening.
- Bulk and single-cell RNA-seq analysis.
- ATACseq data analysis and TF motif identification.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: PhD degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

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 bioinformatician/molecular microbiologist is sought to join a team working on metagenome-resolved biogeography and functional ecology of photosynthetic microbial communities under extreme environmental stress.

The main responsibilities of the position include:
1. Analysis of metagenomic sequence data with various packages using the R statistical environment.
2. General molecular microbiology laboratory work including DNA/RNA extraction, library preparation, and sequence analysis.

The position is available for an initial period of 21 months, with renewal subject to performance and funding availability.

Qualifications

• Qualifications / Discipline:
BSc (hons) required, and preferably a MSc

• Skills:
Competence in using R software for bioinformatic analysis of metagenomes is essential, e.g. MEGAN6. Some laboratory experience in molecular microbiology is also preferred but not essential.

• Experience:
At least one year of experience using computational bioinformatic tools in a research environment is required.

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 successful candidate will work with A/P Dr Sergio Hernandez Marin in the Data Analytics Consulting Center on both internal-facing (NUS) and external facing (startups, SMEs, MNC) Data Science and Data Architecture roles.

The main responsibilities of the position include:

1. Data Analysis and Modeling:
- Utilize advanced statistical and machine learning techniques to analyze complex datasets.
- Develop predictive models and algorithms to extract meaningful insights and patterns.

2. Data Architecture and Management:
- Design and implement robust data architectures to support the project's data needs.
- Work on data integration, ensuring seamless flow and accessibility of data across different components of the project.

3. Collaboration with Interdisciplinary Teams:
- Engage with a diverse team of stakeholders, to integrate data science solutions into the broader project framework.
- Communicate findings effectively to non-technical stakeholders.

4. Teaching Short Courses on Data Science:
- Design and deliver short courses on data science topics to internal team members or external stakeholders.
- Provide training sessions on the application of data science methodologies and tools.

5. Experimental Design and Hypothesis Testing:
- Contribute to the formulation of research hypotheses and experimental design.
- Implement and conduct experiments, ensuring the rigor and reproducibility of the research process.

6. Software Development and Implementation:
- Develop custom tools and software solutions to facilitate data analysis and visualization.
- Ensure the scalability and efficiency of software components in handling large datasets.

7. Documentation and Reporting:
- Maintain comprehensive documentation of methodologies, data sources, and analysis processes.
- Prepare regular progress reports and contribute to academic publications.

8. Stay Current with Emerging Technologies:
- Keep abreast of the latest advancements in data science, machine learning, and relevant technologies.
- Integrate innovative approaches and tools to enhance the project's methodologies.

Qualifications

• Qualifications / Discipline:
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, with a specialization in Data Engineering and Data Architecture.

• Skills:
1. Data Science and Statistics Proficiency:
- Demonstrated expertise in data science methodologies and statistical analysis.

2. Programming Skills:
- Proficiency in programming languages such as Python, SQL, and Javascript.

3. Data Engineering and Data Architecture:
- Strong background and practical experience in Data Engineering and Data Architecture, encompassing the design and implementation of robust data structures.

4. Data Visualization:
- Proven experience using data visualization tools to present complex data in a comprehensible manner.

5. Database Management Systems:
- Hands-on experience with various database management systems, ensuring efficient data storage and retrieval.

6. Cloud Platforms:
- Familiarity with cloud platforms and the ability to leverage cloud-based solutions for data analysis and storage.

7. Communication and Collaboration:
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Proven ability to collaborate effectively within a diverse team.

• Experience:
At least 3-5 years of experience in Data Science / Data Engineering

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 successful candidate will work with Dr. Boxiang Liu on performing snRNA-seq experiment and leveraging functional genomics approaches to understand the molecular mechanisms of type 2 diabetes.

The main responsibilities of the position include:
- Nuclei isolation of adipose tissue.
- Basic snRNA analysis of output data.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: Bachelor or Master degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

• Skills: Cell/molecular experiment, transcriptomics, genomics, mouse work.

• Experience: Cell/molecular experiment, transcriptomics, genomics, mouse work.

Job description
The candidate will be part of a team solving computational bioengineering problems. The responsibilities include but are not limited to:

• Research, develop and evaluate algorithms and implementations
• Work with team members to develop disease transmission models
• Brainstorming technical solutions

Job requirements

• Master or Bachelor degree in chemical engineering and bioengineering related fields
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in academic research
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving skills

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.

System Engineer (IoT) responsibilities include:

• Understand client requirements and how they translate to new integration features;
• Collaborate with product team and other staff to set specifications for new applications;
• Design and deliver IoT implementations at the customer’s site;
• Write high-quality software for application process;
• Write codes to integrate with IoT devices;
• Configure, calibrate, and control IoT devices; and
• Collect, analyze, and visualize collected data from IoT devices.

Job brief:

We are looking for a qualified IoT Associate Engineer to design and integrate IoT systems. You will work as part of a team and individually with little supervision.

A great IoT System Engineer has excellent knowledge of at least one SoC integration. They must be familiar with various IoT and cloud platforms. The ideal candidate will also have an analytical mindset and a keen eye for detail.

The goal is to write “clean” and flawless code to produce fully functional software applications according to requirements.

Responsibilities

• Understand client requirements and how they translate into software features with IoT;
• Collaborate with the product team to set specifications for new IoT solutions;
• Write applications for IoT devices with SoC;
• Possess knowledge of development with at least one of the following protocols: Bluetooth, ZigBee, Z-Wave, LoRa .etc;
• Design creative prototypes according to specifications;
• Deliver complete solution within deadlines;
• Perform unit and integration testing before launch;
• Conduct functional and non-functional testing;
• Troubleshoot and debug applications; and
• Develop technical documents and handbooks to accurately represent application design and code.

Requirements

• Proven experience in the delivery of IoT projects;
• Experience in designing and building SoC applications;
• Ability to develop in at least one of the following protocols: Bluetooth, ZigBee, Z-Wave, LoRa .etc;
• In-depth knowledge of programming for diverse operating systems and platforms using development tools;
• Knowledge of connecting up electronic components is a plus;
• Excellent understanding of solution design and principles;
• A team player with excellent communication skills;
• Analytical thinking and problem-solving capability;
• Great attention to detail and time-management skills; and
• BSc/BA in computer science or relevant field; MSc/MA will be appreciated.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

This role is funded by a Pharma Innovation Programme Singapore (PIPS) research grant. The primary responsibility of the role is to deliver a novel software solution, which supposedly will run on discrete-event simulation (DES) and deep reinforcement learning (DRL) optimization algorithms, to help pharmaceutical companies enhance the agility of their multi-product manufacturing process in an uncertain environment. To this end, by working closely with subject matter experts from the PIPS member companies (i.e., GSK, MSD, Pfizer, and Syngenta), you will:

• design and execute survey / interviews with subject matter experts to understand the agreed aspects of agility and use them as the basis for this project
• develop the DES model libraries on the AnyLogic platform to simulate different kinds of activities involved in the full pharmaceutical supply chain
• develop the DES plant model optimizer using explainable DRL algorithms with user-defined objective functions
• demonstrate the utility against company-supported use cases
• prepare a user manual to help the companies quickly grasp the knowledge to use or modify the novel utility

Key Responsibilities:

1. Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
2. Undertake these responsibilities in the project:visit PIPS member companies’ production sites in Singapore for data collection and model building
   train and validate the DES models using historical plant data or synthetic data
   develop the DES model optimizer by implementing appropriate DRL algorithms and user-defined objective functions (e.g., CAPEX/OPEX, sustainability metrics, etc.), with explainability on the suggested decisions from the algorithms
   present research findings in meetings with PIPS member companies; prepare peer-reviewed publications on the findings
   guide junior researchers and undergraduate students on their research activities
   engage and communicate with vendors/suppliers for purchasing software, and visit vendors’ facilities for both software evaluation and training purpose.
   
3. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.

Job Requirements:

1. PhD in Chemical Engineering, Computer Science / Engineering or related fields. Master’s degree candidates with significant computational research experience may also be considered.
2. Previous experience with DES / Deep learning using neural networks / DRL / Explainable machine learning / AnyLogicâ would be advantageous.
3. Interest and enthusiasm for academic research to be applied in the pharmaceutical industry.
4. Good interpersonal, communication and technical writing skills. Good problem-solving skills.

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 Research Fellow (Postdoc) will conduct research in the field of coastal engineering, in terms of wave dynamics and sediment transport. Coupling of different types of wave signals such as ship wakes, wind waves will be considered. The study of sediment transport will take the input from the wave dynamic simulations. Numerical simulations and experiments will be conducted.

Job Requirements

• Candidates with background in coastal and ocean engineering, especially with experience and knowledge in experiments and numerical modelling, hydrodynamics, wave theories, and sediment transport are encouraged to apply.
• Possess a PhD degree with relevant research experience.
• Strong writing skills.
• Good time management and data analytic skills.
• Excellent interpersonal and communication skills.
• Strong quantitative analysis.
• Having prior good publication record is advantageous.
• Open to fixed-term contract.

We are seeking a highly motivated and enthusiastic Research Officer (wet or dry) to join our team and work on Spatial and Single-Cell Genomics projects. The successful candidate will have a strong background in molecular biology, genomics, or a related field, and will be working closely with the research team for designing, executing and analyzing experiments related to drug response and drug delivery based on spatial transcriptomics and single-cell genomics.

Key Responsibilities:

Wet-capabilities

• Design, troubleshoot and execute experiments to investigate gene expression in single-cell and/or spatially resolved tissue samples
• Co-develop and optimize experimental protocols for single-cell genomics and spatial transcriptomics

Dry-capabilities

• Process and analyze large genomic data from transcriptomic and genomic assays including single-cell RNAseq, spatial transcriptomics, and other sequencing technologies (e.g. long reads)
• Co-develop algorithms and pipelines for single-cell genomics and spatial transcriptomics

General capabilities

• Maintain detailed experimental records and contribute to scientific discussions and reports (internally)
• Work collaboratively with other members of the team to develop and implement research strategies

Qualifications:

• A Bachelor's or Master's degree in molecular biology, biochemistry, computer sciences, bioinformatics, or a related field
• For wet candidates: strong experience with molecular biology techniques, including (clinical) sample handling, PCR optimization, tissue culture, RNA isolation, and sequencing library preparation. Experience with microscopy, image analysis, and statistical analysis would be advantageous
• For dry candidates: Deep experience in single-cell genomics and/or spatial transcriptomics. Proficient in data analysis tools such as R, Python, familiar with analytical tools and algorithms. Comfortable with large data handling and processing.
• Ability to work independently and collaboratively with other team members
• Excellent organizational and communication skills

This is an exciting opportunity to join a dynamic and growing research team, with excellent prospects for career development. If you are a highly motivated and enthusiastic individual with a passion for molecular biology and genomics, we encourage you to apply.

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.

An exciting opportunity has risen for a highly motivated Senior Research Fellow to join the Singapore Institute for Clinical Sciences (SICS) to work with a collaborative and multidisciplinary team for the project “Completing the Picture: Strengthening Fathers" Roles in Early Child Health and Neurodevelopment Through Targeted Interventions”. The SRF will be responsible for leading data-intensive quantitative research on the interactions between familial environmental, focusing strongly on comparing paternal factors with maternal and other household member factors, and the broader environment (e.g. built and natural environment) on child health, well-being, and development. The SRF will utilize skills in big data management, especially harmonizing and linking geospatiotemporal data with longitudinal cohort data, as well as quantitative causal inference and quasi-experimental techniques, to produce new scientific knowledge, write manuscripts, create presentations and reports, and brief collaborators and other stakeholders (academic, government, community, industry, etc.) as needed.

Job Responsibilities:

The successful candidate will be expected to engage in the following:

• Big data (geospatialtemoporal, multi-modal longitudinal cohort) management, processing, and analysis from a variety of sources (academic, government)
• Conduct quantitative causal inference analyses, e.g. quasi-experimental, instrumental variable, fixed-effects, difference-in-difference, etc.
• Where appropriate, conduct or advise on economic considerations in research, practice, or policy (e.g. program evaluation, cost-benefit analyses)
• Proactively seek out obtain, or develop new data sources that will support or expand the research
• Prepare reports and presentations for internal and external stakeholders
• Leading communications with internal and external project stakeholders, including coordinating and conducting briefings
• Write manuscripts for publication in high-impact journals
• Work closely with the PI and research team while showing a high degree of autonomy and proactiveness

Job Requirements

• Qualification & Field of Study: PhD in relevant quantitatively-focused discipline (e.g., Biostatistics, Economics with focus on Econometrics and causal inference methods).
• Min. Years of Experience: 3 years
• Other Requirements (e.g. Skills, Competencies):
  • Experience and expertise in joining geospatialtemoporal data to longitudinal cohort data and harmonizing data across cohorts for the purposes of data analysis
  • Experience and expertise obtaining, constructing, or developing measures and indicators of built and natural environment, human behavior (movement/migration), and other areal characteristics
  • Strong quantitative skills, particularly in causal inference
  • Strong knowledge of statistical programming in Python and/or R
  • Strong skills in data management and workflow documentation and commitment to open and reproduceable research
  • Evidence of peer-reviewed publications and conference papers in line with career stage
  • Well-organized with strong attention to detail
  • A team player with an ability to work independently
  • Self-motivated in striving for the most rigorous science

Contact

For more information about the position, potential applicants are encouraged to contact Dr. Keri McCrickerd ([email protected]) directly with any questions.

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 Research Fellow (Postdoctoral) position is available immediately in the laboratory of Assistant Prof. TANG Wei at the National University of Singapore (NUS) (https://pharmacy.nus.edu.sg/team/asst-prof-tang-wei/).

We are looking for highly motivated and competent research fellows to work on research focusing on building new generation drug delivery technologies for disease visualization, precision nanomedicine, vaccine delivery and immunotherapy. The successful candidate will independently undertake advanced research, lead and promote activities designed to develop collaborative research, collect and analyze research data, prepare reports/presentations/manuscripts, and supervise graduate/undergraduate students.

Qualifications

Qualifications:
o PhD degree in chemistry, life sciences, materials science, bioengineering, or related field.
o Good publication records in peer-reviewed journals.

Experience/Skills:
o Proficient in nanomaterial design and synthesis or molecular biology and immunology.
o Experience with animal handling and cell culture techniques.
o Be able to independently lead projects and effectively work in a team.
o Strong critical thinking and problem-solving skills.
o Excellent project management skills, communication skills, and great ability in written and spoken English.

Job Description

Responsibilities:

• Communicate with clients
• Handle general administrative tasks such as filing, phone calls and e-mails
• Handle other administrative or miscellaneous tasks if required

Requirements:

• Minimum Diploma
• Minimum 1 year administrative work experience
• Proficient in MS Word and Excel
• Able to work independently
• Meticulous, motivated, proactive, multi-tasking
• Responsible and willing to learn
• Good communication and interpersonal skills

Work Schedule:

• Weekday: 830 am to 630 pm
• Weekend: 9 am to 6 pm
• Full time: 44 hours a week

Position is open to candidates interested in full-time , or part time full day - at least 3-4 full-day shifts

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Institute for Functional Intelligent Materials (I-FIM) is the world’s first institute dedicated to the design, synthesis, and application of Functional Intelligent Materials (FIMs). Its global vision is to create a platform to develop FIMs with predetermined properties and autonomous, dynamic functionalities which can respond to changing environmental conditions. I-FIM will then investigate the use of such materials for smart applications in various sectors of technology.

Our outstanding researchers and excellent facilities create an energetic environment for ground-breaking science and world-class training. We are hosted by the National University of Singapore, a globally leading research university, empowering multidisciplinary research that spans cutting-edge approaches from the biological, computational, physiochemical and engineering sciences.

I-FIM has an opening for Visiting Research Assistant Professor for outstanding candidates to expand our current faculty to complement existing strengths and seed new strategic directions.

Job Requirements

The Institute for Functional Intelligent Materials (I-FIM) is seeking candidate with the following experiences and qualifications:

• PhD in Physics
• At least 5 years academic experience in quantum 2D materials and technology, ability to analyse electronic transport properties, measuring low temperature quantum Hall and develop advanced nanofabrication with 2D materials
• Ability to forge partnership with I-FIM to support international collaboration research in quantum technology and joint application of international collaborative research grants
• Distinguished publication records

Wide Band Semiconductors group of IMRE is looking for a highly motivated Senior Scientist for a project related to SiC bulk growth. The project aims to develop SiC boules using both resistive and inductive heating technologies. The candidate will work together with the wide bandgap R & D team to perform materials growth and characterization.

Main Responsibilities:

• To grow SiC bulk crystals for the development of 4H-SiC substrates
• Develop thermal models and growth iterations to reduce defect density in bulk SiC
• Project execution with team work to meet target deliverables from various types of growth furnaces
• Provide technical inputs to metrology team for analysis of wafering results and preparation of reports

Job Requirements:

• PhD in Physics/Materials Science/Engineering, or related fields.
• Experience in bulk crystal growth, Epitaxy of SiC or other wide bandgap materials
• Prior hands-on experience on crystal growth processing equipment, data acquisition and analysis, good communication skills

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.