Total 1,741 Science / R&D / Research job vacancies in George Town

The successful candidate will lead development of AI-based methods for somatic mutation identification from Next-Generation Sequencing (NGS) data. The candidate will be responsible for model and software development, as well as documenting performance on benchmarks datasets.

Job requirements (eg qualification, skills):

1. PhD in Bioinformatics or Computer Science

2. Strong and documented programming skills and experience with UNIX and HPC environments

3. Strong and documented experience with AI/deep-learning approaches applied to NGS data

4. Excellent project management 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 successful candidate will work with A/P Wu Jie starting around June to Aug-2024 under a project on heterogeneous photocatalysis and automated synthesis.

The main responsibilities of the position include:

1) Perform high quality research under PI’s supervision.
2) Draft and publish high impact journals
3) Help PI to write research grant
4) Mentor junior research students

Qualifications

Postdoc fellow candidate must hold (or be close to obtaining) an internationally recognized Ph.D. degree in organic chemistry or strongly related fields, and should have proven track record of excellence in experimental research. Candidate with experience and knowledge in total synthesis is preferred.

Skills

Organic synthesis; analytic instrument.

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

(JR:18151)
The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

The Genome Institute of Singapore (GIS) is Singapore's flagship institute for the genomic sciences. The Agency for Science, Technology and Research (A*STAR) is the parent funding body for the GIS and has a long-term commitment to advance science and develop innovative technology to further economic growth and improve lives. As one of the world's premier genomic centres, the GIS integrates genetics, genomics, high-throughput biology, and data science to gain fundamental, translational and clinical insights into human disease and health (https://www.a-star.edu.sg/gis/).

The GIS invites applications for outstanding Principal Investigators to develop their independent research programmes in the following domains:

• Build technologies to engineer DNA or RNA (including molecular biology, viral/non-viral delivery, modified DNA/RNA, machine learning, CRISPR-Cas, DNAzymes/ribozymes, and other editing systems). Candidates with established track record in molecular engineering, nucleic acid therapeutics, translation into clinical trials, and/or biotech companies are highly desirable.
• Build technologies in RNA therapeutics (including either using RNA as medicine or targeting RNA in diseases). Candidates with an established track record in targeting RNA or engineering RNA for protein production, decay, localization in health and disease systems are highly desirable.

Qualified candidates should have an MD, PhD or equivalent degree in the biological, genomic or computational sciences, and a demonstrated ability to conduct cutting-edge team-based research with a strong record of peer-reviewed publications, intellectual property creation, and external funding. You must be comfortable working in a dynamic research organisation and be able to balance multiple responsibilities. Strong communication skills and a willingness to work collaboratively in a multidisciplinary environment are critical for success. The successful candidate will drive an expansion into the indicated research areas and complement and synergise with ongoing research programmes at the GIS.

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.

The Genome Institute of Singapore (GIS) is Singapore's flagship institute for the genomic sciences. The Agency for Science, Technology and Research (A*STAR) is the parent funding body for the GIS and has a long-term commitment to advance science and develop innovative technology to further economic growth and improve lives. As one of the world's premier genomic centres, the GIS integrates genetics, genomics, high-throughput biology, and data science to gain fundamental, translational and clinical insights into human disease and health (https://www.a-star.edu.sg/gis/).

The GIS invites applications for outstanding Principal Investigators to develop their independent research programmes in the following domains:

• Build technologies to engineer DNA or RNA (including molecular biology, viral/non-viral delivery, modified DNA/RNA, machine learning, CRISPR-Cas, DNAzymes/ribozymes, and other editing systems). Candidates with established track record in molecular engineering, nucleic acid therapeutics, translation into clinical trials, and/or biotech companies are highly desirable.
• Build technologies in RNA therapeutics (including either using RNA as medicine or targeting RNA in diseases). Candidates with an established track record in targeting RNA or engineering RNA for protein production, decay, localization in health and disease systems are highly desirable.

Qualified candidates should have an MD, PhD or equivalent degree in the biological, genomic or computational sciences, and a demonstrated ability to conduct cutting-edge team-based research with a strong record of peer-reviewed publications, intellectual property creation, and external funding. You must be comfortable working in a dynamic research organisation and be able to balance multiple responsibilities. Strong communication skills and a willingness to work collaboratively in a multidisciplinary environment are critical for success. The successful candidate will drive an expansion into the indicated research areas and complement and synergise with ongoing research programmes at the GIS.

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

This job focuses on researching the forefront topics of photogating effect and low-dimensional material photodetectors based on photogating effect, aiming to address the critical issues in realizing high-performance and multifunctional photodetection. The primary responsibilities include:

1. Design and simulation of photodetectors. Understand in depth the photogating effect, design the structure of low-dimensional material photodetectors, and utilize software to simulate the electrical and photoresponse characteristics of devices. Research directions include low-dimensional material heterojunction engineering, photodetector structure design, and multifunctional photodetection, etc.

2. Fabrication and measurement of photodetectors. Conduct experiments to fabricate low-dimensional material photodetectors and establish a measurement platform to evaluate the performance of the fabricated devices. The research results should meet the project objectives and potentially provide new insights for the development of high-performance and multifunctional photodetectors.

3. Demonstration of high-performance and multifunctional photodetection. Find practical detection scenarios, and construct signal read-out circuits to demonstrate the high-performance and multifunctional photodetection capabilities of the fabricated devices. At last, prototype system designs should be developed for several representative detection scenarios.

4. Teamwork, article publication, and academic exchange. Participate in team discussions and collaborations to jointly drive project progress. Responsible for writing scientific papers and patent applications. Additionally, participate in academic conferences to exchange research findings with peers and enhance the academic influence of the team and individuals.
Given the above research objectives and work content, candidates are required to possess in-depth physical insights and interdisciplinary knowledge of semiconductor device physics, photodetection technology, photogating effect, low-dimensional materials, etc. Familiarity with micro-nano processing techniques and photodetector testing methods is also essential. Moreover, excellent teamwork skills and innovative thinking are indispensable.

Qualifications

1. Education and Research Background: PhD degree in Physics, Optical Engineering, Electrical Engineering, or related fields with a background in photogating effect and low-dimensional material photodetectors.

2. Theoretical Knowledge: Deep knowledge of semiconductor physics, physical optics, semiconductor device physics, optics and optoelectronics, and photodetection technology.

3. Simulation Capabilities and Experimental Skills: 1) Proficient in using simulation software for theoretical modeling and numerical calculations of photodetectors. 2) Familiarity with micro-nano processing techniques for low-dimensional material photodetectors, as well as experience in operating relevant equipment. 3) The ability to establish a performance characterization platform for photodetectors. 4) Be skilled in at least one computer programming language for data processing and analysis. Programming experience in neural networks or machine learning is preferred.

4. Independent Research Ability: Outstanding experimental design and data analysis skills. The ability to independently conduct research projects and solve complex technical issues.

5. Teamwork and Communication Skills: Excellent teamwork spirit and communication abilities. Be able to actively collaborate with team members, jointly advance project progress, and ensure the achievement of research goals.

6. Project Experience and Academic Achievements: Candidates should have relevant project experience or have published articles in reputed International Journals in the field of photodetection. Special attention will be given to candidates with research experience related to the photogating effect, low-dimensional material photodetectors, as well as high-performance and multifunctional photodetection.

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

This project aims at addressing various challenges in Metaverse from network perspective to meet the diverse service requirements. It studies metaverse in the context of 5G network slicing and develop techniques based on AI/ML, optimization and game theory for the problems such as traffic categorization, demand prediction, resource allocation, anomaly detection, and task offloading.

The Research Fellow (RF) will be responsible to develop various techniques as stated above and carry out performance study. The work and findings will lead to top-tier journal and conference publications.

Qualifications

Requirements
• A PhD in Computer Engineering/Electrical Engineering/Computer Science and related disciplines, with knowledge and experience in one or more areas, 5G, Metaverse, edge computing, AI, machine learning, optimization and game theory.
• Strong research record with independent research and development capability.
• Open to Fixed Term Contract

Role Summary

Develop aerosol systems and processes towards enabling business needs in accordance with stipulated requirements (eg. GLP, ISO, EHS&S)

Responsibilities

1. Support and execute the following activities in accordance with stipulated regulations

• inhalation system setup
• test item management
• operation and maintenance
• system qualification
• aerosol generation and characterization
• data review and compilation

2. Support the implementation of technical alternatives and improvements for aerosol characterization, aerosol systems and processes

3. Support the data analysis, troubleshooting, root cause determination, and implementation of changes to achieve aerosol quality and compliance with stipulated requirements

4. Conform to standard operating procedures in accordance with stipulated regulations

5. Support the execution of Capital Expenditure projects to achieve business continuity and advancement

6. Support the maintenance of equipment and to ensure the availability of laboratory supplies

7. Ensure proper upkeep of the laboratory

Requirements

• At least a Diploma in equipment, process, aerosol engineering or other relevant engineering /science fields or 1 year relevant experience
• Good command of spoken and written English
• Proficient in MS Word, Excel, Powerpoint

The Student Affairs and Services Manager reports to the Vice Principal(Administration) and supervises the department.

He/She is responsible for the management of student affairs matters such as:

· Overseas trips

· Admissions, withdrawals and leave of absence

· Insurance

· Student surveys

· Student finance matters

~ Bursaries, scholarships and Edusave

~ Government grants for students

~ Payment for school enrichment programmes, equipment and other purchases payable

· Communications with parents

· Student-related administrative matters

· Internal and external student services such as:

~ Uniform

~ Bookshop

~ Sickbay

~ Dental

CNRS@CREATE is looking for a Research Assistant – Human Geography/Urban Studies to join our SPACE project team.

SPACE PROJECT

The SPACE project is developing a research protocol for infectious disease prediction and prevention in Singapore. The project draws upon analyses of the risk factors and sociospatial patterns that drive dengue and COVID-19 transmission in Singapore, as well as the social and technical skills developed by individuals and community groups in response to disease propagation. Combining insight from the social sciences (geography, architecture and urban design, communication, economics, sociology, public policy) with biology (epidemiology, entomology) and computer science (artificial intelligence, biostatistics), the project will use the concept of “adaptive capacity” (AC) to explore the potential of community-based “latent social capital” (i.e. human, cultural, political, and social) as key assets for adaptive responses to health challenges related to dengue in its interplay with COVID-19.

The project brings together 23 researchers, 10 from France and 13 from five Singaporean universities (NTU, NUS, SUTD, SMU and SUSS). The research will be conducted in Singapore.

DESCRIPTION

We are seeking a Research Assistant to join the SPACE project on “Shaping Public Adaptive Capacity for Environmental Infectious Diseases”. The successful applicant will be working on the impact of digital technologies and artificial intelligence (AI) on public health within the realms of social sciences and urban studies.

The SPACE project brings together researchers from France and from five Singaporean universities (NTU, NUS, SUTD, SMU and SUSS). The research will be conducted in Singapore.

Job tasks:

• Literature search and review
• Secondary data collection, data analysis, including content analysis, thematic coding, and statistical analysis
• Contribution to qualitative field research (conduct face-to-face interviews), transcription and coding of interviews
• Regular update on the latest scientific and technological developments in AI, digital technologies, and their applications in public health
• Writing and preparation of research reports
• Assist in the preparation of presentations, posters, and visual aids for dissemination of research findings at seminars, conferences, and workshops.
• Assist with all other research-related tasks as determined by the PI

EXPERIENCE & QUALIFICATIONS

• Bachelor’s (and preferably Master’s) degree in social sciences, urban studies, public health, or a related field.
• Experience in literature review, data collection, and analysis.
• Proficiency in qualitative research methodologies, including conducting interviews and qualitative data analysis.
• Excellent command of both spoken and written English
• Proficiency in one other Singapore’s official languages would be an asset.
• Demonstrated ability to work collaboratively in a team environment and meet project deadlines.
• Prior experience in research project management and familiarity with ethical considerations in research is a plus.

FURTHER INFORMATION & CONTACT

Salary range: 5000 to 7000 SGD (depending on suitability and experience).

Duration: 8-10 months.

The applicant should be based in and have the right to work in Singapore. He/she will benefit from close collaboration with other team members from the SPACE project.

The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Workplace Address: CREATE Tower (NUS Campus), 1 Create Way #08-01 Singapore 138602

Application Instructions:

Please submit a cover letter, curriculum vitae (CV), and academic transcripts to: elisabeth.peyroux@cnrs.fr.

We will begin reviewing applications for the positions immediately. Expected start date of the contract is May 2024 or as soon as possible thereafter for a period of 8-10 months. 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 job holder is to work with PI and the research team to conduct Research Characterizing Airborne Pollutants in Urban Environment.

The research activities involve (but not limited to):

• Operating a wide variety of instruments, data retrieval
• Laboratory chemical analyses and speciation
• Modeling chemical reactions of airborne pollutants
• Assisting and contributing to project deliverables, including,
• Planning and conduct experiments, data analyses, progress reporting, report writing, etc.

Qualifications

One or more of (but not limited to) the following:

• Fast learner capable of conducting independent research and proficient literature search, review & summary with strong background in chemical engineering / chemistry / physics
• Sufficient experiences in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels, etc
• Modeling chemical reactions of airborne pollutants through implicit modules
• Experiences of applying machine learning to handle big data
• Experiences of laboratory chemical analyses using chromatography, such as GC-MS-MS, LC-MS-MS, etc
• Experiences of operating instruments measuring physical properties of aerosols
• Experiences in conducting field studies of aerosol and VOC sampling using various instruments
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc
• Proven rounded and effective team player with strong initiative and ownership of the research project

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

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

Requirements:

• PhD with experience in computational biology
• Strong programming skills
• Strong communication skills
• Strong track record

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 hire will focus on metal 3D Printing of Lightweight & Structural EM Materials, specifically on merging of metamaterials and natural materials for symphony effect of materials and structures for broadband microwave absorption. The initial contract may be ~ 1.5 years, and can be renewed later.

Qualifications

The candidate is required to have expertise in electromagnetic simulation with CST microwave Studio, composite material fabrication, microstructural characterization, and microwave measurements. The candidate should have a PhD degree on relevant areas, e.g., mechanical engineering, materials science. The candidate is expected to complete high-quality systematic research works.

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 hire will focus on metal 3D Printing of Lightweight & Structural EM Materials, specifically on merging of metamaterials and natural materials for symphony effect of materials and structures for broadband microwave absorption. The initial contract may be ~ 1.5 years, and can be renewed later.

Qualifications

The candidate is required to have expertise in electromagnetic simulation with CST microwave Studio, composite material fabrication, microstructural characterization, and microwave measurements. The candidate should have a PhD degree on relevant areas, e.g., mechanical engineering, materials science. The candidate is expected to complete high-quality systematic research works.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project will focus on multi-agent exploration and navigation in unknown areas, where multiple autonomous robots (agents) are tasked with spreading over a given region to be explored, or to reach a given position and discover the world to do so as rapidly as possible. Throughout this work, we will assume that robots can communicate their observations (e.g., partial map of the environment) during search, via local or global communications, so they can update their representation of the domain online. These tasks will be approach using large language models (LLMs), both to improve performance and to provide an interesting level of explainability.

Qualifications

• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.)

• Literature review/summarizing skills

• Simulations abilities (e.g., AirSIM, ROS Gazebo)

• Experience with implementation of deep learning model on hardware (e.g., ground/aerial robots)

• Experience publishing papers, and supervising undergraduate/master’s students

• Good writing/spoken communication skills