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

We are looking for a research fellow for the project on ultraprecision fabrication of functional components with additive manufacturing and micro-scale surface treatment. The candidate is required to conduct design and manufacture of the bespoke fixtures and tooling for post-processing of the 3D-printed geometries to meet the industrial requirements. He/she will also be responsible for reporting and coordinating with our stakeholders and writing technical papers.

Qualifications

Interested applicants are required to possess a PhD degree. He/she should have a good understanding in

1. Ultraprecision machining technology with excellent hands-on experience;
2. A solid background of micro-/nano-scale material removal processes and mechanisms with a good track record of publications;
3. Experienced in metal additive manufacturing and its post-processing methods; and
4. Mechanical and non-mechanical surface treatment and finishing techniques.

Contract Period:

• 2 Jan 2025 to 31 Dec 2025 (12 Months) + 1 Year Optional renewal by school.

Deployment:

• Mondays to Fridays: 8.30am to 2:00pm, inclusive of 0.5hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Scope of Works:

1. Assist teachers in the preparation of teaching and learning resources and specimens needed.
2. Assist in the preparation of resources for science practical examinations.
3. Maintain all live specimens and laboratory equipment.
4. Conduct periodic stock-taking on laboratory supplies in science laboratory and advise Science HOD / LH on stock level
5. Conduct daily cleaning of the Life Science and Physical Science laboratories.

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

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 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

Duties And Responsibilities

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

RESEARCH ENGINEER

Why should I Apply:

At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: provide solutions that deliver Clean Code.

Sonar solves the trillion-dollar challenge of bad code. Sonar equips organizations to achieve and sustain a Clean Code state by empowering developers to write consistent, intentional, adaptable, and responsible code. Clean Code produces software that is maintainable, reliable, and secure, allowing development teams to spend less time fixing issues and more time innovating. With Sonar, and by employing the company’s Clean as You Code methodology, organizations minimize risk, reduce technical debt, increase productivity, and derive more value from their software in a predictable and sustainable way.

Sonar’s open-source and commercial products – SonarLint, SonarCloud, and SonarQube – support over 30 programming languages, frameworks, and infrastructure technologies. Trusted by more than 500,000 organizations and used by more than 7 million developers globally to clean more than half a trillion lines of code, Sonar is integral to delivering better software.

Sonar is looking for a passionate Research Engineer who loves to explore ways to improve our products using LLMs. You will be part of our Research and development team, which drives the innovation of new technologies that power our products.

The impact you will have

With your domain expertise and experience, you will guide Sonar in the new era of AI. You will explore state-of-the-art LLMs and new feature ideas that help push our products to the next level. By prototyping and deploying visionary features, you are preparing the next generation of our Clean Code solution that is loved by millions of developers around the globe.

On a daily basis, you will

• Have fun in an expert team full of creative and passionate researchers
• Stay up-to-date with the advancements of LLMs in the industry
• Discuss and qualify new innovation opportunities for our products that leverage LLMs
• Prototype and evaluate new AI-powered product features for developers
• Together with the engineering team, contribute to the deployment and maintenance of our LLM features

The skills you will demonstrate

• You received a university degree
• You have a good understanding of the overall architecture and building blocks of LLMs
• You have hands-on experience with deploying AI-related features in software products
• You have sound programming skills and are familiar with modern software development tools (e.g. CI/CD, Docker, Kubernetes)
• You have solid cloud computing experience (preferably with AWS ecosystem).
• You have a product mindset and can easily collaborate with PMs and UI designers to adapt our new features to user needs.
• You are fluent in English, both written and spoken, and can understand and explain complex technical topics

Why you will love it here:

• Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.

• We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate!

• We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday).

• We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.

We prioritize Diversity, Equity, and Inclusion:

At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures.

We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.

• We seek out for a researcher with a PhD in Physics or similar. In particular the candidate is expected to have a strong back ground in many-body quantum physics with extensive experience in tensor networks and neural network quantum states.
• The researcher will work on developing the numerical approaches and apply them to areas such as quantum thermodynamics, many-body quantum systems out of equilibrium and biology.
• High competence in parallel programming and GPU programming is preferred.

Position title : Vision Software Engineer

Location: Admirality Street
Working Days: 5 Day A Week
Working hours : 9:00am - 6:00pm
Salary : $5000 - $8000 (depends experience)

Job Summary:

We are seeking an experienced Software Engineer to join our team, responsible for
designing, developing, and maintaining software applications for vision systems.

Responsibilities:

• Design and develop PC based automated visual inspection systems for our full range of semiconductor equipment.
• Evaluate and feasibility study on the customer’s vision specifications.
• Responsible to integrate any new vision hardware (camera, frame grabber, etc) onto the vision software.
• Troubleshooting and improve the processing time of the inspection.
• Provide technical support to internal and external customers to fulfill the inspection requirements. Change the vision inspection algorithm to improve the inspection capabilities and its performance.
• Be the key driver for continuous improvement plans for new and existing inspection capabilities.
• Coordinate with customer for any new enquiry with sale personnel if needed.
• Work closely with the vision application and optics team members to produce the best inspection result.
• Build and nurture a culture in engineering organization of harmony, quality, ownership, collaboration, continuous improvement and data-driven decision making.

Requirements:

• BS Science Diploma or higher in electrical and electronic, mechanical, or mechatronics engineering or related technical discipline or equivalent practical.
• Technical troubleshooting experience.
• Minimum 3 years in related field.
• Relevant technical work experience including automation machine system troubleshooting.
• Experience working with end customers.
• Understanding semi-conductor manufacturing process, vision inspection settings, machine software settings and configuration or equivalent practical experience.
• At least 3+ years of experience in software development with C#, WPF, Image Processing , Halcon (bonus)

✅The Supreme HR Advisory Pte Ltd EA No: 14c7279

✅SAMUEL SIAW Reg No: R24124745

A*STAR Infectious Diseases Labs (A*STAR IDL) is seeking a Laboratory Officer/ Technician (BSL-3 operations) to join us. The Laboratory Officer/ Technician will engage in day-to-day operations, housekeeping, maintenance of the high containment (BSL-3) and BSL-2 enhanced laboratories. This role will involve but is not limited to the following:

Job Responsibilities:

• Perform lab biohazard waste collection, sort, autoclave, and safe disposal.
• Liaise with biohazard waste contractor for scheduled disposal.
• Manage laboratory supplies, chemical and equipment inventory.
• Assist in coordination of the lab maintenance, calibration, repair of faulty and recertification of laboratory equipment.
• Coordinate with vendors and service providers to ensure timely delivery of lab supplies and stock checking.
• Track and manage personal protective equipment (PPE) inventory, perform regular checks, and replenish stock as needed.
• Maintain overall cleanliness and organization of the laboratories.
• Carry loads such as lab laundry and send for cleaning, drying and redistributing to storage cabinet.
• Perform ad-hoc duties as required to facilitate smooth and efficient operation of the lab.

Job Requirements:

• "N" Level/"O" Level/ITE/NITEC/Higher NITEC/Diploma.
• Minimum 2 years working experience in a BSL-2 laboratory setting.
• Experience in a high containment environment will be advantageous.
• Team player, proactive and possess good communication skills.
• Ability to work independently under minimal supervision.
• Wear PPE and don respirator to perform daily work.
• Knowledge of biohazard waste management and autoclaving procedures.
• Familiarity with research animal facility housekeeping.
• Attention to detail and strong organizational skills.
• Willing to learn and ability to follow strict safety protocols and guidelines

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.

Host Pathogen Interactions Lab in A*STAR Infectious Diseases Labs (A*STAR IDL) is actively seeking a Scientist to join our mission of becoming a leading center for infectious diseases research. A*STAR IDL is dedicated to advancing translational research in infectious diseases to improve both health and economic outcomes.

Job Description:

We are seeking a talented researcher to lead the research on a 3 year funded research project as well as develop novel ideas in the broad scope of host-pathogen interactions and infectious diseases. Preliminary data gathered will help develop the researcher’s career and path to independence through the various early-career support available internally in A*STAR as well as in the Singapore ecosystem.

The funded project will aim to characterize and compare host-alphavirus interactions at the immune response level in vivo in animal models through a novel viral-centric approach. Preliminary data of the lab has shown a differential adaptive immune response polarization between two alphaviruses and identified, via in vivo comparative multiOmic approaches, a set of candidate host factors potentially responsible for the phenotype. The project will entail a close characterization of these host factors and their role in the viral life cycle as well as the modulation of the immune response of small animal model to these viruses. In addition to multi-Omics approaches (including single-cell and spatial), protein-protein interactions, microscopy, functional genomics, viral reverse genetics and CRISPR Cas9 gene editing will be some of the tools used to investigate this viral hijacking and understand the host-viral interplay. Animals models available in the lab include mice and zebrafish. Downstream of characterization will aim to validate these targets in small preclinical models for subsequent drug discovery in the A*STAR ecosystem. Throughout the project, close collaborative work within A*STAR IDL as well as other institutes throughout Singapore and overseas will be used to leverage expertise for high impact studies.

Job Requirements

• PhD in Biomedical Sciences, Life Sciences, Immunology or related field
• Atleast 2 years of relevant experience in immunology or related field. No virology experience necessary.
• Highly motivated and able to work independently.
• Team player with good interpersonal skills.
• Good spoken and written communication skills.
• Familiar with bioinformatics
• Willing to learn to work in a BSL3 facility if necessary
• Must be comfortable to work with small animal models.

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.

Host Pathogen Interactions Lab in A*STAR Infectious Diseases Labs (A*STAR IDL) is actively seeking a Scientist to join our mission of becoming a leading center for infectious diseases research. A*STAR IDL is dedicated to advancing translational research in infectious diseases to improve both health and economic outcomes.

Job Description:

We are seeking a talented researcher to lead the research on a 3 year funded research project as well as develop novel ideas in the broad scope of host-pathogen interactions and infectious diseases. Preliminary data gathered will help develop the researcher’s career and path to independence through the various early-career support available internally in A*STAR as well as in the Singapore ecosystem.

The funded project will aim to characterize and compare host-alphavirus interactions at the immune response level in vivo in animal models through a novel viral-centric approach. Preliminary data of the lab has shown a differential adaptive immune response polarization between two alphaviruses and identified, via in vivo comparative multiOmic approaches, a set of candidate host factors potentially responsible for the phenotype. The project will entail a close characterization of these host factors and their role in the viral life cycle as well as the modulation of the immune response of small animal model to these viruses. In addition to multi-Omics approaches (including single-cell and spatial), protein-protein interactions, microscopy, functional genomics, viral reverse genetics and CRISPR Cas9 gene editing will be some of the tools used to investigate this viral hijacking and understand the host-viral interplay. Animals models available in the lab include mice and zebrafish. Downstream of characterization will aim to validate these targets in small preclinical models for subsequent drug discovery in the A*STAR ecosystem. Throughout the project, close collaborative work within A*STAR IDL as well as other institutes throughout Singapore and overseas will be used to leverage expertise for high impact studies.

Job Requirements

• PhD in Biomedical Sciences, Life Sciences, Immunology or related field
• At least 4 years of relevant experience in immunology or related field. No virology experience necessary.
• Highly motivated and able to work independently.
• Team player with good interpersonal skills.
• Good spoken and written communication skills.
• Familiar with bioinformatics
• Willing to learn to work in a BSL3 facility if necessary
• Must be comfortable to work with small animal models.

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.

A*STAR Infectious Diseases Labs (A*STAR IDL) is seeking for a Principal Scientist to join us in our mission to be a leading centre of infectious diseases research. A*STAR IDL aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

Job Description:

• Leads conceptual and technical integration of various research studies to provide leading edge solutions in antimicrobial resistance (AMR) research and development
• Conceptualize and create new technologies, patents and publications
• Review and manage operating budget of grants and team
• Establish collaborations, develop scientific proposals and ensure timely achievement of project milestones
• Manage a team and provide scientific and career mentorship to researchers and students

Job Requirements:

• PhD in Biomedical Sciences, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above
• 4 years of post-PhD relevant experience
• Strong background in Microbiology, Immunology, Molecular Biology, Biochemistry, Genetics and Genomics
• Strong publication record
• Highly motivated and ability to develop strong research ideas to secure grant and funding
• Strong analytical, technical and problem-solving skills
• Team player with good interpersonal skills
• Good spoken and written communication skills

Project Overview

The AMR IRG is an interdisciplinary community of biologists, engineers, and clinicians from MIT and Singapore, sharing a state-of-the art research facility and united by a commitment to providing a supportive intellectual environment where students and staff can learn, grow, and contribute to solving a pressing societal problem.

The objective of this project is to advance the field of RNA analysis by developing and implementing innovative analytical tools. These tools will be used in a comprehensive study of all forms of RNA -- the ribonucleome -- and the >170 RNA modifications -- the epitranscriptome -- in disease pathobiology, host-pathogen interactions, biomarker development, and therapeutic target discovery.

Responsibilities

The Research Engineer will plan and conduct experiments with the aim of studying the roles of RNA modifications in human immunue diseases. The candidate will work primarily on cell culture, RNA isolation, and chromatography-coupled mass spectrometry analysis. As part of this work, the candidate will prepare results for publication, be a liasion with the AMR IRG community, work with external collaborators, and develop strong experimental and communication skills.

Requirements

• B.S. or M.S. in biochemistry, molecular & cell biology, bioengineering, chemical engineering, or a related field.
• Experience in cell culture, RNA extraction, high-performance liquid chromatography or mass spectrometry are prefered. Strong proficiency in oral and written communication in English. Ability to work well with others and as part of a team.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notifie

About the position

Based in Singapore and supporting Singapore, Indonesia and Malaysia, you will contribute to the firm, by developing analysis and conveying insights to enhance clients’ decision making. You will play an active role in all aspects of client engagement: helping identify issues, forming hypotheses, conducting analysis, and synthesising conclusions into recommendations.

You will combine technical strength with a strong track record of leadership and performance in team-oriented environments.

You will work in a dynamic, intellectually stimulating, and demanding yet supportive environment. You will enjoy autonomy, the opportunity to substantially influence major decisions in the energy sector, and to grow into an industry expert under the guidance of senior members of the team with deep experience addressing major strategic issues at the world’s leading advisory firms.

The position suits a recent STEM graduate of a bachelor’s or master’s programme.

Key responsibilities

• Develop timely and rigorous quantitative analyses to enhance clients’ decision making
• Work closely with our modelling team, structuring economic problems into quantifiable analyses and deriving insights from the model results
• Contribute to our product development, by identifying new opportunities and expanding our capabilities
• Engage with clients to thoroughly understand their requirements
• Communicate findings to clients

What we are looking for

Required attributes:

• First-class or high second-class degree in a quantitative subject (Mathematics, Economics, Science, Engineering or Finance).
• Proficiency in English and Malay language is a must to be able to collect data and information from Singapore, Indonesia and Malaysia.
• Ability to analyse and interpret complex quantitative data and information.
• Evidence of strong performance in team-oriented environments.
• An ability to communicate and collaborate with both technical and non-technical parties.

What we offer

• The opportunity to substantially influence major decisions in the energy sector.
• Direct engagement with clients through Aurora conferences, workshops and webinars.
• The opportunity to grow into a publicly visible industry expert.
• A fun, informal and international work culture.
• Private medical insurance
• Access to employee discount platform - Perkbox
• Access to the Aurora Academy, our training programme offering a range of opportunities to develop your skills
• Access to our Employee Assistance Programme (EAP), offering a complete support network that offers expert advice and compassionate guidance 24/7/365, covering a wide range of personal and professional aspects.

The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership and pregnancy and maternity.

About us

From its academic roots, Aurora Energy Research has grown to be the largest dedicated power market analytics company in Europe, providing data-driven intelligence for strategic decisions in the global energy transformation. We are a diverse team of 600 experts with vast energy, financial, and consulting backgrounds, covering power, renewables, hydrogen, carbon, and fossil commodities.

We are active across in Europe, the Asia-Pacific region, and the Americas, working with world-leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software. We are a thriving, rapidly growing company with offices across the globe and more opening soon. We currently serve around 200 of APAC’s most influential energy sector participants, including utilities, investors, and governments, and expect to continue to grow rapidly, adding new countries and products to our portfolio.

Job Description:

We are seeking for a skilled and motivated Quantitative Research Analyst to join our Quantamental Investment team. The successful candidate will play a key role in the development and implementation of quantitative trading and investment strategies. As a Quantitative Research Analyst, you will have the opportunity to work on cutting-edge research projects and contribute to the success of our investment strategies.

Key Responsibilities:

• Conduct thorough backtesting of trading strategies using historical market data to evaluate performance, identify potential risks, and validate assumptions.
• Demonstrate proficiency in calculating and backtesting various factors that drive stock returns, including but not limited to value, momentum, size, quality, and volatility. Identify and research new factors or alpha signals that have the potential to generate superior risk-adjusted returns, conducting rigorous analysis to validate their efficacy and robustness.
• Monitor and analyze real-time market data, news, and events to adapt trading strategies and make informed investment decisions in dynamic market conditions.
• Document research methodologies, findings, and results in clear and concise reports, presentations, and research notes for internal stakeholders and clients.
• Mentor junior members of the research team and provide guidance on quantitative methods, programming techniques, and best practices.

Requirements:

• A bachelor's degree or higher in a quantitative field such as Quantitative Finance, Mathematics, Statistics, Computer Science, or a related discipline.
• No prior experience required in the equity market, with a strong background in factor investing strategies. Candidates with experience in China A-share market and US market are preferred.
• Proficiency in programming languages and tools such as Python, SQL, SAS, and C++.
• A keen interest in investment, strong learning ability, excellent teamwork skills, self-driven, and a strong sense of responsibility.
• Strong communication skills in both English and Chinese, with the ability to effectively collaborate with team members across different regions and departments.

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.

Research Fellow

We are seeking to recruit a Postdoctoral Fellow (Research Fellow). A person with background in molecular biology, cell culture, imaging and data analysis (including modelling and python programming) and has theoretical background on actin are encouraged to apply.

The MBI and NUS provide state-of-the-art facilities dedicated to microfluidics, high-resolution imaging, and cell culture that will support the fellow in training, setup, and execution of the project, and the successful candidate will have the opportunity to work closely with talented and motivated research staff, interdisciplinary PIs, and clinician scientists.

Qualifications

1. PhD in molecular cell biology or relevant biomedical disciplines. Candidates in the process of completing their PhDs in the relevant disciplines may also apply.
2. Competence in molecular biology, biochemistry, cell culture, and confocal microscopy.
3. Experiece in image analysis, photomanipulation and bioinformatics are highly desired.
4. Excellent communication and organizational skills
5. Highly motivated to work both independently and as a team member

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

We have openings for talented scientists who are ready to take up a leadership role in our group and to spearhead new initiatives and provide supervision and guidance to junior members of the team.

You will be part of a well-funded initiative to create quantum networks of superconducting circuits mediated by telecom photons. Your job could include the following subjects:

• Leading the design and fabrication of superconducting qubits that resist to moderate magnetic fields
• Spearheading the development and fabrication of chips that combine superconducting circuits and integrated photonics
• Exploring novel fabrication methods to couple rare-earth ions in solid-state with integrated optics and superconducting circuits
• Measuring quantum correlations between microwave photons at cryogenic temperature and telecom photons at room temperature

You will also work closely with the Principal Investigator to develop future experimental goals and shape the general research direction of the group. There will also be ample opportunity to explore your own ideas and participate in grant-writing processes. We aim to provide you a challenging and supportive environment to perfect your research leadership skills and get ready for your next career step!

ABOUT THE GROUP

Qove Laboratory is led by Assistant Professor Steven Touzard and located at the National University of Singapore. The lab is funded by the prestigious NRF Fellowship. Our group works on a large range of quantum technologies, with currently an emphasis on remotely entangling superconducting qubits with telecom photons to form long-range quantum networks.

To know more, go to https://qovelab.com

Qualifications

Postdoc applicants should have proven research experience and have a strong interest in quantum technologies. Furthermore, a PhD in Experimental Physics or Engineering is required, as well as knowledge on quantum optics measurement, optical fiber equipment, as well as cryogenic equipment. Ideally you received your PhD working on superconducting circuits, spin defects in solid-state, integrated optics or quantum optics experiments.

Working Days & Hours: 5 days across Monday – Sunday, Up to 44 hours per week. (11am - 8pm/ 12pm - 9pm)
Location: Newton/ Chinatown

Contract: yearly renewable based on business needs and individual performance

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data
• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:
• Strong phone and verbal communication skills along with active listening
• Experience with Key Performance Indicators (KPIs) preferred
• Excellent customer service skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. https://go.persolkelly.com/job...

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394

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

Research Fellow position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Fellow will work closely with the Principal Investigator (PI) on theories and applications of learning-based control. The project will investigate and develop both deep reinforcement learning algorithms and conventional robust adaptive control methods, to develop safety-critical learning-based control algorithms that leverage the advantages of both model-based and model-free methods. In particular, the developed algorithms will be demonstrated through robust control of drones.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates will be responsible for conducting theoretical research and algorithm development. The candidates are expected to help the PI supervise junior PhD students as well.

The candidates should have a Ph.D. degree from a reputable university, with expertise in robust adaptive control, reinforcement learning theory, collision-avoidance trajectory optimization, etc.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, optimization, etc.). Strong publication records in leading journals and conferences are required.

Qualifications

• Possess a Ph.D. Degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Communication, Mechanical, or Information Engineering).
• Have substantial research experiences in robust adaptive control, reinforcement learning, learning-based control, model predictive control, etc.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and doctoral studies.
• Strong publication records in leading journals and conferences are highly valued
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of reinforcement learning and control for robotics applications.
• Activity performed in world-class research environments is highly valued.

Primary Responsibility

•Defining requirements for exercise and health-tech projects.

•Assist in Project Management.

•Developing exercises for the elderly consumers.

•Developing health-tech product for elderly consumers.

•Perform data analytics for efficacy of intervention methods.

Secondary Responsibility

•Assist in designing and collaboration with sports science researchers.

•Assist in designing and collaboration with health-tech researchers.

Requirement

•Sports Science degree of diploma.

•Familiar with running projects and exercise programs. Preferably for elderly subjects.

•Must have interest in a total system development.

•Problem solving skillset is a must.

Benefits

•Work in a dynamic pace and product rich environment.

•Able to work with and experience best-of-breed software design and implement experts.

•Abundance of deep-tech learning experience.

Homebrew is looking for a LLM Researcher/Engineer to fine-tune and train our own LLM models.

Responsibilities

• Train and Fine-tune foundational LLM models (e.g. PEFT, Lora, QLora, latest research techniques)
• Build and maintain LLM applications and infrastructure to meet business needs
• Design LLM inference infrastructure to scalably deploy LLMs within infrastructural constraints
• Research and utilize best of class tools within LLM ecosystem (e.g. Vector databases, LlamaIndex, etc)
• Keep up with latest research around LLMs (e.g. sparse models, hardware-specific LLMs)
• Research and keep up with latest use-cases of LLMs (e.g. RAG, Agents, etc)
• Collaborate closely with LLM research teams to participate in foundation model research, specifically for training productivity-related LLMs.

Requirements

• Experience with LLMs, including popular foundation models like Llama2, MPT
• Experience with Training and Fine-tuning foundational LLM models
• Experience with quantization techniques, including llama.cpp, GPTQ, etc
• Experience with LLM related development, e.g. Llamaindex, Langchain, Vector DBs, Prompt Engineering etc
• [Plus but not required] Experience running LLMs in production (e.g. Triton Inference Server, 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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

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

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

We are seeking to recruit a research fellow to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research fellow, you will lead projects to optimise microalgae cultivation processes and apply bio-physical techniques to improve nutritional and organoleptic properties. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Conceptualise new ideas, plan, and drive the overall direction of projects.
- Independently execute experiments, analyse data, and interpret results in a systematic and logical manner.
- Prepare formal reports, publications, grant applications, and presentations.
- Contribute to project management by overseeing budgets, designating resources, monitoring progress, and managing stakeholders.
- Mentor research assistants, graduate and undergraduate students.
- Coordinate research efforts with an interdisciplinary and international team of researchers within the Centre and other stakeholders.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper laboratory operation and equipment maintenance.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history, complete list of publications/oral presentations), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- A PhD degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Hands-on-experience in any of the following areas: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing. Other areas where the candidate can prove its utility towards microalgae/biomass fermentation for food applications are also welcome.
- Proven track record in peer-reviewed research publications and presentations at international conferences.
- Excellent problem solving, critical thinking, and analytical skills.
- Strong verbal and written communication skills in English are required.
- Excellent communication and interpersonal skills to collaborate within a culturally diverse and cross-disciplinary team, and other stakeholders.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Meticulous, well-organised, and detail oriented.