The Compound Manager is responsible for the efficient handling and organization of chemical compounds within EDDC. This includes collaborating with cross-functional teams, maintaining an organized and well-documented compound inventory, and adhering to safety and regulatory guidelines. The Compound Manager also manages time and automation resources, serves as the primary point of contact for compound management, and develops and executes detailed scripts for all wet plating processes.

Job Description:

Responsibilities include but are not limited to:

• Manage the DMSO stock compound collection and all incoming sample plating requests.
• Support all screening projects in EDDC including storage and distribution.
• Manage time and automation resources supporting all wet compound plating activities.
• Serve as the primary point of contact for compound management.
• Timely Documentation of all compound handling tasks.
• Develop liquid handler methods, troubleshoot, and perform basic maintenance.
• Conduct process mappings, gap analysis, and develop executable plans of action.
• Engage with screeners to design, develop, and implement custom fully automated processes to increase throughput and walk-away time.
• Write and execute detailed scripts for all wet plating processes.
• Conduct bi-weekly QC of all liquid handling instruments and compound stores.
• Conduct annual QC of department compound collections.
• Report monthly metrics to the team.
• Create and verify the accuracy of all inventory files and plate maps available to the screening community.

Job Requirements:

• Bachelor’s or Masters Degree in biological sciences, chemistry or related field
• At least 5 years academic or industrial experience in biology or chemistry laboratories as a technician or research officer.
• Experience with inventory management of samples or compounds, database software.
• Strong organisational and communication skills, demonstrated ability in establishing and managing research partnerships.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment
• Willingness to learn new techniques and adapt to changing priorities
• Experience in lab automation and liquid handling platforms preferred.
• Knowledge and experience of the process of performing high throughput screening assays using microplates preferred.

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.

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.

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

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.

Middle and High School Science Teacher

Start Date: 1st August 2024

The German European School Singapore (GESS) is looking for experienced Middle and High School Science Teacher for Grades 6-12.

In your teaching commitment at GESS, you will need to take on the following responsibilities where you will be expected to:

· Develop a strong relationship with all parents and students

· Be a role model who mentors and guides students to ensure they meet their full potential

· Actively review student assessment data, including academic, behavioral and social/emotional, to set learning goals, develop student agency and put in place interventions to ensure successful learning of each individual

Experience and Qualifications

• Recognised teaching qualification (minimum B.Ed or PGCE equivalent)
• At least 4 years teaching experience
• Knowledge, understanding and teaching experience of the IB Middle Years Programme and IB Diploma Programme
• Appropriate Health and Safety training for taught subject areas (e.g. for PE, first aid and swimming training certifications)
• Articulate and effective written and oral communication in English
• Ability to work collaboratively, professionally and effectively within a team
• Experience of working in an international school setting advantageous
• Willingness to adapt to and embrace a new school environment
• Willingness to contribute and champion educational change that supports best practice and improve student learning

Professional Expertise

• Cognitive Activation / Pedagogical Subject Knowledge: The teacher has a deep understanding of the curriculum, pedagogy, subject content, and the developmental needs of students to effectively provide rich learning experiences.
• Classroom Management: The teacher understands the importance of establishing routines and procedures and providing a safe, supportive, student-centred learning environment.
• Formative Assessment: The teacher can effectively use differentiated assessment tools and strategies and understands how to make accommodations for individual students that drive learning forward.
• Student Well-being & Safeguarding: The teacher is a caretaker of the student’s social health and emotional well-being. They support healthy peer relationships and interactions. At the same time, they are guiding individual emotional, well-being and social development.
• Professionalism: The teacher is committed to professional ethics, international-mindedness, and the school’s mission; collaborates and communicates appropriately and takes responsibility for professional growth that enhances student learning.

Keen to collaborate and share your specialist expertise, you will be a fitting ambassador for the school. You will communicate with confidence across diverse audiences and situations, using your expertise to build strong relationships across the GESS community.

Our School

The German European School Singapore (GESS) is a multi-lingual, not-for-profit, German international school in Singapore with a distinct European flavour. As an accredited ‘Excellent German School Abroad’, the German Section of GESS offers all major German school leaving certificates.

Our European Section offers tuition in English for students from grade 1 - 12 across all three IB programmes (the PYP, the MYP and the IB Diploma Programme) as an authorised IB World School.

Children aged 2 years onwards can enroll in our Preschool where children are following the PYP programme in German-speaking, English-speaking or bilingual groups. In addition to an outstanding academic education, GESS strives to teach students community values such as respect, openness and diversity.

To Apply

We offer an exciting working environment in an international and cooperative team. Your application should include a letter of application and your complete resume. Please indicate your reasons for applying for the position.

Our Selection Process

At GESS we adhere to fair employment practices that consist of hiring practices that are fair, merit-based and non-discriminatory.

We are committed to providing a world class, safe, happy environment in which children and young people are able to thrive and learn. We are committed to safeguarding and child protection as we promote the welfare of all our pupils irrespective of race, ability, religion, gender or culture.

All post holders are subject to appropriate vetting procedures including satisfactory reference and background checks and the offer of employment will be subject to the completion of these.

Please note, that only shortlisted candidates will be notified.

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.

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.

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.

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 Department of Family Medicine (DFM) at NUHS was established in 2017 with the aim of supporting the Division of Family Medicine within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS). DFM is composed of a multidisciplinary team of clinicians, researcher, medical educators, and administrators. DFM provides an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goals of achieving achieve excellence in Family Medicine education, research and practice.

As part of our efforts to significantly increase our research capacity, we are looking to appoint a highly motivated and skilled Research Assistant to support DFM’s research workplans and activities. He/she will play a key role in strategizing and supporting in developing and expanding DFM’s research

capabilities to achieve its research mission of improving the lives of people receiving primary care.

Our research spans across a wide range of areas: chronic diseases, including mental health, cancer care and multimorbidity; healthy longevity; family orientation; and quality of care, including continuity and coordination.

Qualifications

• Bachelors or Masters in Life Sciences, Health & Social Sciences
• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting.
• Advise department researchers in matters pertaining to local and institutional research compliance and ethics regulations.
• Excellent organisation, coordination, and problem-solving skills
• Excellent interpersonal, written, and verbal communication skills

Main Duties and Responsibilities

1. Support department with grant and ethics applications. Liaise with relevant stakeholders in preparing research agreements

• Monitor and advisor for grant submissions and fund utilisation.
• Support in preparing grant applications, propose budget and plan project timelines for submissions
• Support in ethics applications, track progress, answer enquiries when required.
• Liaise with stakeholders in drafting research agreements to ensure compliance.

Main Duties and Responsibilities

2. Grants Management & Administrative Duties

• Track grants’ utilisation on a monthly basis. Generate and prepare financial reports to update department.
• Support academic staff in preparing, submitting and following up on grant variations.
• Support in the recruitment of research expertise to expand the department’s capabilities. Draft job descriptions, arrange interviews etc.
• Support procurement and finance matters related to research projects.

Main Duties and Responsibilities

• Manage the online repository of documents related to research matters to ease use by department members.
• Manage projects’ timelines to ensure it is on track to achieve its desired outcomes.
• Prepare periodic progress reports and presentations to update senior management and stakeholders.
• Secretariat duties such as organising regular meetings. Plan and collate agendas, prepare discussion materials, record minutes and track progress of follow up items.

Main Duties and Responsibilities

3. Research Events and Outreach

• Support research unit in identifying speakers and topics for the regular research forums and workshops.
• Design and circulate fliers, book venues, set up virtual meeting, apply for CME points and submit attendances to Singapore Medical Council (SMC).
• Provide onsite support for events held in person.
• Collate feedback and prepare evaluation reports for research unit.
• Organise overseas experts’ visits by planning programme, booking flights, accommodation etc.

Application

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the Dept of Family Medicine.

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.

The primary responsibility of this role is to deliver on an applied research project as a part of Infocomm Technology cluster at SIT. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims to overcome the issues raised by using real-world PII data.

Key Responsibilities:

• Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Design a Natural Language Processing algorithm for identifying Personal Identity Information data.
• Design and evaluate privacy preserved Generative AI-based algorithm for generating synthetic data.
• Validate integrated system functionality and performance.
• Help produce progress reports and technical papers on research work.
• Ensure compliance with Work, Safety and Health Regulations.
• Assist in project resource requirements and managing student projects.

Job Requirements:

• Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent.
• Have relevant research/industry experience in Machine Learning, AI and Privacy.
• An excellent team player who can cope with an agile and fast-paced environment.
• Good communication and interpersonal skills.
• Possess relevant hands-on experience in Python, Java, C++ etc. and corresponding development environments.

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 Applied Learning Sciences and Educational Technology (ALSET) (to be renamed Centre for Embodied Learning & Living (CELL)) has an opening for a Senior Embedded Systems Engineer (Research Associate). As the Senior Embedded Systems Engineer of our research center, you will play a key role in developing innovative solutions that enhance embodied learning.

As a Senior Embedded Systems Engineer at CELL, you will be a vital contributor to our research initiatives, specializing in the design, development, and optimization of embedded systems that support embodied learning technologies. Working in a collaborative and multidisciplinary environment, you will lead the implementation of hardware and software solutions, ensuring they align with the center's research objectives and contribute to the overall success of our research initiatives. You will report to the Director of the center.

The major responsibilities include:

• Lead the prototyping and development of technologies that embody research insights, ensuring feasibility and scalability
• Collaborate with researchers to understand the theoretical underpinnings of embodied learning technologies
• Translate research findings into practical engineering solutions with a focus on real-world applicability
• Engage with educators and educational institutions to understand needs and challenges
• Customize and adapt embodied learning solutions to suit different educational contexts
• Work closely with researchers to understand the unique requirements of embodied learning projects and contribute technical expertise to enhance project outcomes
• Prepare reports and presentations to communicate progress and outcomes to both technical and non-technical stakeholders

Qualifications

• Masters in Engineering or equivalent
• At least 10 years experience in designing Embedded Systems, Internet of Things, Wireless Sensors, and Digital Signal Processing
• Knowledge of human-computer interaction (HCI) and user-centered design principles
• Experience in developing high fidelity prototypes ready for field testing
• Experience working with interdisciplinary teams and translating research findings into practical applications.
• Excellent written and verbal communication skills
• Experience in Entrepreneurship
• Solid organizational skills including attention to detail and multi-tasking skills
• Experience working with cross-functional teams in a dynamic environment