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

Prof Chng Wee Joo's lab in Cancer Science Institute of Singapore (CSI) is at the forefront of cutting-edge research in haematological malignancies, with a particular focus on multiple myeloma (MM), acute myeloid leukemia (AML), and natural killer/T-cell lymphoma (NKTL).

We are seeking a highly motivated and skilled Research Assistant to join our team and contribute to our translational research program. This program integrates genomics and proteomics technologies to drive clinically relevant discoveries in the diagnosis, prognosis, and treatment of these cancers.

As a Research Assistant, you will play a key role in supporting various research activities, including experimental design, data collection, and analysis, as well as laboratory management. You will collaborate closely with our team of scientists and clinicians to help advance our bench-to-bedside research pipeline, translating laboratory findings into potential therapeutic interventions for haematological malignancies.

Duties and Responsibilities

Conducting Research

• Assist in performing high-throughput genomics and proteomics analyses on human tumor samples and model systems.
• Participate in pre-clinical validation studies of novel therapeutic targets identified from genomic and molecular discoveries.
• Support ongoing research projects focused on molecular subtyping, disease progression, and therapeutic resistance in MM, AML, and NKTL.
• Assist in testing novel compounds targeting oncogenic pathways (e.g., EZH2 inhibitors in AML).

Data Collection and Analysis

• Prepare and process biological samples for genomic and proteomic studies.
• Utilize bioinformatics tools and relational databases for system biology analysis and integration of clinical and molecular data.
• Contribute to data management and statistical analysis of experimental results.

Laboratory Management

• Assist in the maintenance of laboratory equipment and inventory.
• Ensure proper documentation of experimental procedures and findings.
• Maintain high standards of laboratory safety and protocol compliance.

Collaborative Research

• Work closely with senior researchers, clinicians, and other laboratory staff to validate research findings and contribute to ongoing projects.
• Assist in the management of a comprehensive tissue bank and clinical database.
• Present findings in lab meetings and contribute to the preparation of manuscripts for publication.

Qualifications

• Bachelor’s or Master’s degree in Biology, Biochemistry, Biomedical Sciences, or related field.
• Prior experience in molecular biology, genomics, or proteomics techniques is highly desirable.
• Familiarity with haematological malignancies and cancer research is a plus.
• Experience with bioinformatics tools and databases is advantageous.
• Strong organizational skills and attention to detail.
• Excellent written and verbal communication skills.

Preferred Skills and Attributes:

• Passion for cancer research and a strong interest in translational medicine.
• Ability to work collaboratively in a multidisciplinary team.
• Strong problem-solving skills and ability to adapt to new challenges.

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 Summary

Cancer Science Institute of Singapore (CSI) is establishing a new research lab under the leadership of Dr. Zhou Yilong. The lab will focus on RNA biology, cancer, and immunity.

We are seeking a highly motivated, dedicated and detail-oriented Research Assistant to contribute to the lab's cutting-edge research on RNA-protein interactions, biomolecular condensates, and the role of RNA helicases in cancer. In addition to research responsibilities, the Research Assistant will play a crucial role in commissioning the lab, setting up essential equipment, and ensuring operational readiness.

Qualifications

• Bachelor’s or Master’s degree in Molecular Biology, Biochemistry, Cancer Biology, or a related field.
• Prior experience with lab setup, equipment management, or commissioning of research facilities.
• Strong skills in molecular biology techniques (e.g., RNA isolation, PCR, cell culture, CRISPR).
• Knowledge of RNA biology, cancer biology, or immunology is advantageous.
• Familiarity with bioinformatics tools for RNA sequencing analysis is a plus.
• Strong organizational skills and attention to detail.
• Ability to work both independently and as part of a team.

Preferred Experience:

• Experience with RNA helicases, biomolecular condensates, deep-sequencing and proteomic techniques.
• Prior involvement in lab commissioning or management.
• Familiarity with cancer models and translational research in RNA therapeutics in cell and animal level.

Job duties and responsibilities :

• Oversee and manage all Singapore Chinese Health Study genetic data hosted on GIS RAPTOR platform.
• Coordinate data extractions and data transfer for the Singapore Chinese Health Study.
• Manage design, develop, verification and validation activities for appropriate genetic data storage and analysis.
• Execute large-scale genetic evaluations for ageing biomarkers and age-related traits and outcomes with the Singapore Chinese Health Study dataset.
• Coordinate data harmonization with key collaborators to enable larger scale data analysis.
• Maintain proper logs and filing for all project documents and records.

Job requirements :

• Proficiency in large-scale genomics evaluations.
• Proficiency in cloud computing, unix based computational platforms.
• Excellent communication and collaborative skills and ability to work as part of a larger team.
• Meticulous in delivering and documenting tasks with appropriate computational tools.
• Well acquainted with basic molecular biology techniques including qPCR and NGS
• PhD in genomics, computational biology or related fields.

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.

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

As part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will have the opportunity to develop unconventional ultrasound transducer drivers, receiver circuits for IoT and biomedical applications as well as cutting-edge high-speed analog circuits for advanced optical communication.

Role & Responsibilities

• Design and tapeout circuit blocks e.g. high linearity low-noise amplifier, variable gain amplifier, envelop detector, and high voltage driver for MEMS ultrasound transducers.
• Work together with team on system integration and demonstration.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Minimum 2 years of transistor-level analog circuit design experience
• Good understanding of CMOS analog IC design methodologies and successful tapeout experience
• Familiar with analog IC design and verification flow
• Design experience with high voltage BCD process would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Duties and Responsibilities - Process Integration

• Plan the integration flow with device designers
• Draft the runsheet by translating the flow into process steps and capturing necessary shortloops
• Perform the DoE with process module teams
• Track the lot and report the progress
• Identify failure modes/root causes and address the problems by proposing changes
• Must be good at documentation and written communication

Job Requirements

• Bachelor's degree in Microelectronics, Electrical, Mechanical, or Chemical Engineering.
• A basic understanding of the semiconductor processes is preferred.
• 3-5 years of hands-on experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will add advantages.
• Must be a team worker with the project stakeholders (device design, process module, and equipment/facility).

As part of IME Integrated Circuit Design and System Department, we are looking for a candidate with relevant experience in ultrasound imaging system design. This candidate will define an ultrasound transducer array beamformer IC architecture for imaging applications. The candidate will work closely with MEMS team on system architecture, circuit design, simulation, validation, and integration.

Role & Responsibilities

• Perform system-level beamformer architecture, design, and simulation, to derive circuit-level design specifications.
• Beamforming array optimization using AI algorithms.
• Design and implementation of beamformer algorithm in hardware.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Good understanding of ultrasound imaging systems and beamforming theories.
• Knowledge of AI algorithms and implementation will be a plus
• Familiar with IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Principal Scientist for Advanced Photonics and Flat Optics Process Integration

The candidate will take the lead for the development of advanced photonics and flat optics integration. This could include but not limited as photonic integration, photonic heterogeneous integration, multi-layered flat optics integration, electro-photonics integration, etc., with various materials. The candidate will work closely with an excellent multidisciplinary and high-industry driven team involving photonics, semiconductor process, and fab operation.

Responsibilities:

• Development of various photonics integration process with 8-inch and 12-inch fabrication facilities, including such as photonics heterogenous integration and flat optics integration.
• Design of Experiments (DOE) for both design and process margin checking and process control.
• Baseline integration process development and standardization for both photonics heterogenous integration and flat optics integration.
• Lead the inline defect analysis and process DOE towards yield improvement.
• Lead the inline process metrology data taking and analysis, device / circuit performance data taking.
• Data analysis and documentation.
• Preparation of technical presentations and papers for internal meetings, as well as conferences and journals.
• Collaborate with project team to ensure quality and on-time delivery for various projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent.
• Strong hands-on experience in CMOS or Photonics integration.
• Minimum 10 years working experience on commercial foundries or equivalent.
• Minimum 10 years project and team management skill.
• Strong communication, industry awareness, and problem-solving skills.
• Strong self-motivation and interest in the next-generation advanced photonics technology and product development.

**High proficiency in English and Chinese (both verbal and written) is a MUST for this post.**

Please only submit your resume if you meet these language requirements.

The Role

This entry-level role provides essential knowledge and information support across the institute’s various initiatives. You will leverage your expertise in information gathering, organization, analysis, and presentation to conduct research on industries, markets, and the feasibility of new higher education programs.

Main Duties and Responsibilities

• Industry Research: Closely track global trends in the higher education sector and conduct market research on specific industries, sectors, and academic subjects.
• Feasibility Assessment: Conduct in-depth research and evaluations of the market potential for higher education programs in Singapore, including competitive analysis.
• Proposal Development: Prepare feasibility reports and business plans for specific higher education programs.
• Program Implementation Support: Provide support for the successful launch of new higher education programs in Singapore.
• Marketing Support: Provide essential information, including competitive intelligence and industry insights, for marketing new higher education programs.
• Other Responsibilities: Assist with other related tasks, including information collection, analysis, and evaluation in collaboration with other teams as required.

Requirements

• Minimum of Bachelor’s Degree or equivalent (Masters preferred)
• Strong ability to quickly retrieve, collect, analyze, and transform information into actionable insights
• High proficiency in English (verbal and written) and upper-intermediate Chinese for business communication
• Results-driven and task-oriented, with a strong sense of responsibility and the ability to meet deadlines efficiently
• Excellent communication and teamwork skills
• Proven work experience of 1 - 2 years as a research analyst preferred
• Prior experience in the higher education sector, research, or market analysis is a plus.

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

Only shortlisted candidates will be notified.

Requirements

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

She or he must work at least 3 years experience in food and beverages sector. she or he must be very independent and able to manage the daily operation like planning and sechedule the weekly job roster of the workers. she or he must have team work and have aa good communication with the staffs . she must have the knowledge of dim sum

She or he must work at least 3 years working experience in food and beverages sector. She or he must be very independent and able to mange the daily operation like planning and sechedule the weekly job roster of workers. she or he must have the team-work and have a good communication with the staffs. she must have the knowledge of dim sum

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 Fellow 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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow will drive the research project on hardware co-designed distributed shared memory systems. The project explores holistic designs of SmartNICs, programmable switches, and RDMAs to accelerate the coherence and management overhead of distributed shared memory systems. By co-designing with network hardware, the project aims to enable local-DRAM-like performance for applications using DSM.

Only shortlisted applicants will be notified.

Qualifications

• A PhD degree in Computer Science or related field
• PhD thesis in systems and networking
• Prior research experience in distributed systems, networking, and software-hardware co-design
• Paper publications in top systems conferences: SOSP, OSDI, ASPLOS, EuroSys, NSDI

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 Fellow 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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow will conduct research for designing low-power embedded systems. Focus would be on designing low-power standard complaint transmitters and receivers.

Only shortlisted applicants will be notified.

Qualifications

• A PhD degree in Computer Science or related field
• Peer-reviewed publications at top-tier venues like MobiSys, MobiCom, SenSys
• Strong skills in wireless communication and embedded systems
• Background in commodity radio standards such as LoRa, WiFi, and ZigBee
• Ability to work well in a team environment
• Excellent presentation skills

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

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

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant (1 year, Diabetes and chronic disease projects)

We are looking for a full-time research assistant to support ongoing research projects in the areas of diabetes and related chronic diseases. The successful candidate will be expected to support in the recruitment of research participants, conduct of study procedures, data management, and coordination with multiple stakeholders. The candidate will be working under the Principal Investigator, Associate Professor Kavita Venkataraman, and will have the opportunity to acquire skills in chronic disease research.

Responsibilities:

• Coordination of study activities
• Participant recruitment and outreach
• Conduct of study visits and participant follow up, including informed consent, questionnaires, assessments and phlebotomy
• Management of study data, and study files
• Management of supply inventory and budget monitoring
• Liaison with participants as well as internal and external teams partnering the studies
• Support for ethics and other administrative approvals, and reporting for the same

Requirements:

• Bachelor’s degree/ diploma in life sciences, allied health, health communications, or related disciplines
• Proficiency in Chinese will be an advantage as the position will work with older adults who are likely to be Chinese speaking participants.
• Excellent written and oral communication skills
• Strong organizational and time-management abilities, as well as administrative skills to manage multiple tasks and meet deadlines
• Prior experience with clinical/ public health research will be an advantage
• Attention to detail and commitment to data accuracy and quality
• Ability to communicate effectively

Applicants should include a brief statement of interest, CV, list of publications (if applicable) and the names and email details of 3 referees who may be contacted immediately if shortlisted.

Recruitment is open immediately and will continue until all positions are filled.

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

Job Description:

• Design and execute experiments, critically interpret experimental results and present data in a cogent and meaningful manner.
• Perform and prioritize multiple simultaneous tasks.
• Participate in the preparation of grant applications and publications.
• Present research achievements at internal and external conferences

Key Job Requirements:

• PhD in Molecular biology, genetics, cancer biology or related fields.
• At least one publication in a reputed international journal along with enthusiasm and active interest in pursuing research in area of genomics, cancer, inflammation or metabolism.
• Experience in RNA biology is preferred.
• Experience in molecular biology, cancer biology, inflammation and computational genomics (including next-generation sequencing analysis) and mouse genetics will be a plus.
• Experience in single cell and spatial transcriptomics will be an advantage.

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 highly motivated and collaborative research fellow with demonstrated skills in environmental engineering, microbiome, and bioinformatics. The positions involve developing novel biotechnologies for nutrients removal and pollutants detoxification in bioreactors, engineered systems, waterbodies and the environment, in particular cultivation and characterization of functional microbes, predictive understanding of microbiome dynamics and functioning in engineering systems such as bioreactors. The research fellow will be responsible for sample collection or management, culturing, microbiome analysis, data processing, integration, etc. He/she will also be encouraged to collaborate with other laboratory members on diverse research projects.

Job Requirements

• Possess at least a PhD degree in environmental engineering; a minimum of 3 years’ working experience
• Research experience in one or more areas such as environmental microbiology and biotechnology, chemical analysis;
• Multidisciplinary knowledge and research experience in engineering, chemical analysis, environmental biotechnology, bioinformatics, statistics, data mining, machine learning.
• Independent, motivated, resourceful and able to work in a team;
• Strong communication skills;
• Excellent quantitative, writing, and presentation skills;
• Experience in publishing peer-reviewed publications;
• Demonstrated ability to direct and run independent research project(s); Experience collaborating with industrial teams.
• Open to fixed term contract

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 Barbaros Oezyilmaz and Dr Toh Chee Tat on for lab support, sample preparation and characterization under a project on Synthesis and application of atomically thin amorphous materials on the surface of 2D semiconductors as a protective and seed layers for other

The main responsibilities of the position include:

1. Synthesis of multilayer MAC films on the surface of 2D crystals, insulators and other substrates. Their analysis by Raman spectroscopy, AFM, Ellipsometry.
2. Test of the application of ML-AC as a seed layer for ALD grown insulators.
3. Perform impedance spectroscopy to probe dielectric properties of dielectrics deposited on the surface of MAC.
4. Data analysis and physical interpretation of the results.
5. Manage lab safety, equipment maintenance and operations.
6. Meet key deliverables for industry collaboration.

Qualifications

Qualifications / Discipline:

Bachelor's or Master's degree in materials science, microelectronics, or a related field.

Skills:

Strong verbal communication skills in English, ability to solve problems and generate new ideas

Experience:

1. One year hands-on experience in lab
2. One year internship/research assistant or any equivalent in lab
3. First-hand experience with operation and maintenance of CVD reactors and vacuum systems
4. Experience with electronics and the use of clean room is desirable

We are seeking passionate scientists who wish to develop innovative methods in the metagenomic assembly field. Our lab is focused on leveraging new technologies to better study microbial populations and their impact on human health. In this context, our lab has extensive experience in metagenomic analysis and has developed several widely used tools in this field. We?re now focusing on new methods to obtain a comprehensive catalogue of complete genomes at the strain level from metagenomic samples, which can be further leveraged for comparative genomic analysis.

The successful candidate will have the opportunity to work in a highly interdisciplinary environment, with unique access to next-generation sequencing technologies and a wide range of samples. Solutions developed during this project will have direct applications to ongoing and new microbiome research projects in the lab, particularly in studying antimicrobial resistance and skin diseases.

The Nagarajan Lab is based in the Genome Institute of Singapore (GIS) which is the national flagship program for genomic sciences in Singapore with a mission to use genomics to improve public health and national prosperity. Singapore is a highly cosmopolitan city-state at the cross-roads of Asia with one of the highest standards of living in the world.

The GIS provides an internationally competitive remuneration package and relocation assistance.

Requirements:

• PhD in Computational Biology, Computer Science, Electrical Engineering/Genomics
• Strong analytical and programming skills (Python, C++, UNIX environment).
• Candidates with significant experience in assembly algorithms will be strongly preferred.

How To Apply: E-mail cover letter, research statement, curriculum vitae, and contactdetails of at least three referees to Niranjan Nagarajan ([email protected])

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 National University of Singapore invites applications for the position of Research Fellow 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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow is going to investigate the design of novel database systems on modern hardware (e.g., GPUs and/or Non-volatile memory) and data science applications.

Only shortlisted applicants will be notified.

Requirements

• A PhD degree in Computer Science or related field
• Experience in research and Good publication record
• Strong systems development skills

The National University of Singapore invites applications for the position of Research Associate 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 Associate 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 Master’s degree in a relevant area;
• Experience in research.

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.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.
• Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.
• Database management experience is desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills