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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is open in the research group of A/P Wang Xinchao, 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 one or more research projects. The candidate will join the research team in the areas of Deep Learning and Interpretable Graph Neural Networks.

The successful candidate is required to:

• Contribute to Deep Learning and Interpretable Graph Neural Networks
• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• PhD degree in Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

Job Position Summary

Reporting to the General Manager, the main responsibility of the quality assistant is to facilitate the administrative process of their respective departments by providing administrative support and documentation of information, adhering to SOPs

Key Roles and Responsibilities

Conduct checks on FML vessels for audit risk/adequacy of navigation/security infrastructure

• Responsible for reporting on areas of audit risk/adequacy of navigation/security infrastructure

• Collaborate with vessel crew to conduct checks on areas of audit risk/adequacy of navigation/security infrastructure as assigned by Head, Operational Excellence/Head, Compliance and Vessel Audit/Head Navigation and Environmental Compliance

• Present findings from checks to Head, Operational Excellence/Head, Compliance and Vessel Audit/Head Navigation and Environmental Compliance to inform business decisions

Maintain proper documentation and storage of information

• Responsible for the proper documentation and storage of information within the department

• Document information as directed by Head, Operational Excellence/Head, Compliance and Vessel Audit/Head Navigation and Environmental Compliance to ensure proper governance and recording of important information

• Maintain and store of all important physical or e-documents within the department in an organized manner

Execute continuous improvement initiatives within the department

• Responsible for executing continuous improvement initiatives within the department

• Collaborate with Head, Vetting & Performance/Head, Investigation and employees within the department to identify improvements that can be made to policies, processes or technological infrastructure.

• Execute continuous improvement initiatives within the department in accordance to developed plans

• Provide regular updates on progress of continuous improvement initiatives, as well as adherence to timeline and budget to Head, Vetting & Performance/Head, Investigation

Day-to-day operations

• Responsible for the provision of administrative support to the department

• Respond to queries or requests for administrative support within the department in a swift manner, in accordance to developed SOPs

Relationship

Internal:

· Primarily maintains relationships with Head, Operational Excellence/Head, Compliance and Vessel Audit/Head Navigation and Environmental Compliance and colleagues

· Collaborates with Head, Operational Excellence/Head, Compliance and Vessel Audit/Head Navigation and Environmental Compliance and colleagues to ensure administrative support is provided to the departments

Job Experience, Functional Knowledge and Qualifications

• Min 3 years work experience in the Maritime Industry

• Strong understanding of ship chartering operations

• Degree in Maritime or relevant field

Competencies

Level One Competencies

Effective decision-making

· Analysis & Problem Solving

Interacting with others

· Collaboration, inclusion & teamwork

· Listening and communicating

Driving high quality

· Customer focus

· Planning & organizing

· Initiative

· Accountability

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 Assistant

The research officer will serve as the crucial link between the study and its participants, and be in charge of recruiting and interviewing participants for the study.

• Contribute in preparing data for analysis
• Understand the context of the research, organize and process complex data
• Create a set of codes or labels that recognize patterns and connections within the data
• Develop guide or codebook that documents the definitions and criteria for each code
• Continuously comparing data to refine and modify codes as the analysis progresses
• Contribute in preparing interview questions
• Innovate to improve processes within the study, particularly in recruitment and data collection
• Contribute in preparing findings for dissemination in multiple formats (e.g., powerpoint, infographics, video)
• Work collaboratively with other researchers or team members involved in the research project

Research Associate / Fellow

The Research Associate/ Fellow will perform a crucial role in managing the data-related tasks in the study.

• Provide leadership and expertise in the development and implementation of Research Data Management
• Oversee the data preparation progress, develop data coding protocols, and ensure data quality
• Conduct data analysis and communicate findings to stakeholders
• Prepare research reports and publications
• Undertake administrative tasks related to the research project
• Participate in research-related activities (seminars, workshops, etc.)
• Work collaboratively with other researchers or team members involved in the research project

Qualifications

Research Assistant

Minimum Education Qualification: A Bachelor’s degree and above in relevant areas

• Able to communicate effectively and build rapport with individuals from different backgrounds
• Able to work independently and autonomously with participants in recruitment and interviews
• Dynamic, resourceful, and able to work independently but also as a team.
• Proficiency in MS Office (particularly in Excel and Powerpoint)

Research Associate / Fellow

Research Associate- Minimum Education Qualification: A Master’s degree in relevant areas, degree by research or at least two years’ experience in large scale research projects

Research Fellow- Minimum Education Qualification: A PhD’s degree in relevant areas, degree by research or at least two years’ experience in large scale research projects

• Proficient in data-related tasks
• Excellent scientific writing skills
• Excellent in quantitative research methods (such as SEM) and proficient in the use of SPSS or other software such as R, Mplus, Stata.
• Excellent work planning and time management skills
• Excellent problem-solving skills
• Able to multi-task and work under pressure in a changing environment
• Good communication skills (e.g. inter-personal skills, ability to present findings to different stakeholders)
• Strong interest in research in the forensic and rehabilitation field
• Self-motivated: Able to work well both independently and as a member of a team
• Passion for high-impact research

Applicants are expected to address all requirements and job responsibilities.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is open in the research group of A/P Wang Xinchao, 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 one or more research projects. The candidate will join the research team in the areas of Deep Learning and Interpretable Graph Neural Networks.

The successful candidate is required to:

• Contribute to Deep Learning and Interpretable Graph Neural Networks
• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• PhD degree in Electrical Engineering, Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

· Enforcement of the implemented Safety Management System for the purpose of ensuring the safety of all staffs and workers in the workplace/projects

· Conduct regular site inspections, risk assessments and follow-up actions to maintain high safety standard and compliance to Company's ISO & OSHAS policies

· Conduct monthly Safety Committee meetings and put up safety reports, including safety issues

· Conduct accident/incident investigations and recommendations on corrective action to prevent recurrence

· Provide the Safety and Health Committees with the tools, resources and support enabling them to function effectively

· Prepare and submit Site Environmental Control Programme of the construction site before work commences on the worksite

· Provide and conduct Safety training for all new employees and workers

· Manage safety violation and award programs

· Must be registered WSHO with valid license with MOM

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Somabha Mukherjee on Causal Network Inference under a project on Statistical Inference for Network-Dependent Data: High-Dimensional Feature Selection & Inference in Higher Order Markov Random Fields.

The main responsibilities of the position include:
Running simulations, doing real data analysis, and proving theoretical guarantees for causal network recovery algorithms.

Qualifications

• Qualifications / Discipline: Statistics and Data Science/ Related Field Master.

• Skills: Coding with Python/R; familiarity with basic theoretical statistical tools and techniques.

• Experience: Advanced bachelor/master student

Position

This position is for PMO inside PCM section in charge of the global monitoring and reporting around CCS activities (+350 FTE developing and maintaining solutions for Cash Management and Corporate Banking business lines including 3 strategic projects).

This position aims primarily to cover all PMO activities of the department. KPI project supervision as well as all staff plan and budget activities in coordination with Head of Sections and other CCS PMOs.

The PMO is actively supporting the continuous improvement and change management journey of the department. In addition the candidate will support the heads of CCS on their weekly agenda.

Main responsibilities

PMO activities

• Project monitoring per releases,
• Budget consolidation and follow-up,
• Follow-up and update the global staff plan,
• Follow and update the project risks portfolio
• Update the budget tools and PMO referentials
• Follow the production of the project documentation
• Produce the global projects dashboard for Cash Management Transformation program
• Support the managers to produce the follow-up dashboard (Risk, Quality KPI, Alert, Planning, Budget)
• Contribute to the change management of CCS
• Coordination with global stakeholders.

Continuous improvement and change management

• Evaluate the efficiency of the current project management process
• Propose improvements in accordance with our internal project management methodology
• Coach the project managers to deploy new methodologies and process
• Propose new template and evolution of process in efficiency way
• Propose new metrics in order to measure the productivity and risk on the projects
• Propose scenarios to align CCS department with ISAP strategy

Qualifications and Profile

Functional

· Strong Knowledge on IT PMO activities (minimum 2 years of experience)

· Good knowledge in Risk management

· Good knowledge in Project Management

· Experience on Change management

Technical

· Good Knowledge of Project Management tools (e.g. Ms Project, JIRA)

· Strong Knowledge of Microsoft Excel (Macro, Pivot table, …)

Other Professional Skills and Mindset

· Highly analytical mind and energetic character

· Solid analytical abilities

· Good written and oral communication skills adapting to all stakeholder seniority level

· Team player mindset

· Strong flexibility and adaptability

· Very good autonomy with strong reporting skills

· Very good organization skills with attention to details

· Understanding and respect of cultural diversity

· Experience in Finance accounting would be a plus

· Experience in Cash Management would be a plus

Interested applicants, please email your resume to Shaun Quek Yew Meng

Email: [email protected]

CEI Reg No: R1660732

EA Licence No: 99C4599

Job Purpose

As a Digital Transformation Officer, you will be instrumental in revolutionizing how we engage with technology to elevate our business processes. Your role will not only streamline our digital presence but also empower our marketing and sales force with cutting-edge tools and strategies, crucial for driving our mission forward.

Key Responsibilities

Digital Innovation:

• Spearhead initiatives to enhance company productivity through digital transformation.

• Develop and maintain an agile, integrated digital ecosystem for seamless operations.

Sales and Marketing Support:

• Craft and refine sales documentation and marketing materials with a digital-first approach.

• Oversee the management and enhancement of the customer database and product listings across digital and traditional platforms.

Online Branding:

• Establish and elevate the company’s online presence through strategic platform management and content creation.

• Update and optimize the company website to reflect our brand’s vision, mission, and values.

Event Participation:

• Provide digital support for exhibitions and workshops, ensuring a prominent and interactive online presence.

Logistics Coordination:

• Manage the distribution of small items, upholding our commitment to efficiency and customer service.

Ad-Hoc Innovation:

• Embrace a variety of ad-hoc duties with a digital-first mindset to support company needs.

Requirements

Qualifications:

• Minimum of a Polytechnic diploma in a related field with a passion for digital trends and healthcare innovation.

Experience:

• Prior experience in medical product sales is an advantage, but not mandatory.

• Demonstrated ability to work and communicate effectively with professionals across various disciplines.

Skills:

• Independent and proactive with a keen focus on delivering results.

• A strong willingness to learn about the industry, product applications, and digital transformation techniques.

Note: This position is open exclusively to Singaporean and PR candidates.

Job Highlight

Salary: $3500 - $3800

Contract: 12 months

Working Location: Nearest to one-North MRT

Working Hours: Monday to Friday, Office hours

Job Descriptions

• Involved in day-to-day operating works for procurement and budget data input
• Assist to administer and prepare division proposed budget, which includes understanding of different budget sources
• Track budgets inputs and assist in end-to-end meetings for budget, procurement, planning matters
• Assist in coordinating fixed assets and updating custodians
• Assist and support ad-hoc planning seminars and other matters involving budget and planning

Job Requirements

• Only Singaporean need to apply.
• Degree/ Diploma in Business/ Finance Background.
• Good documentation and communication skills

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

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

• Conduct experiments on acoustic measurements

• Perform numerical simulation of sound propagation

• Apply machine learning to sound localization

Qualifications

The candidate should have PhD Degree in mechanical engineering or equivalent. He should have knowledge in acoustics and sound propagation. Prior experience in experimental measurements, numerical simulations (e.g. Comsol), and machine learning (e.g. PyTorch) will be helpful.

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

As a Senior Scientific Officer, you will be tasked but not limited to planning and executing the grant-making process, annual budgeting, exploring funding opportunities, and managing documents and deadlines. You will need to provide consultation and administrative support to Programmatic Theme Leads, Principal Investigators and other faculty on operational and grant related matters. You will serve as liaison with NUS research offices, Office of Legal Affairs, Industry Liaison Office and external funding agencies on issues of intellectual property, project and research collaboration agreements, MTAs, NDAs, etc. You will also be working closely with the Outreach, HR and Finance department on grant administrative and research events.

Duties and Responsibilities

Research Grant Management and Coordination

• Assist with grant applications and managing the review process with proper documentation on IRB/ DSRB, IACUC ethics/safety & risk protocols, regular progress/ appraisal/ other research regulatory requirements
• Promote the development of external funding strategies for research, academic projects, and institutional priorities
• Provide resources and assistance to faculty, staff, and administrators in searching for external funding opportunities, budget preparation and updating biosketches of Principal Investigators
• Assist with preparation and submission of requests for external funding, including grants, sub-awards, and contracts
• Ensure that policies and procedures for compliance with research-related regulations are up-to-date and reviewed regularly.
• Provide bibliometrics on research grants as required

Research Program & Project Management

• Provide strategic input for the development of proposals for project and budgeting
• Develop, manage, and evaluate research themes through direct collaboration with Principal Investigators, clinicians and Theme Leads to strengthen the strategy for each of the projects and coordinate these toward building a cohesive program
• Coordinate the development and maintenance of effective research themes group communication systems
• Preparation of budgets for research grants, virements and tracking of grants
• Planning and scheduling of research meetings, writing meeting minutes and coordinating research/other meetings as well as following up decisions made and other necessary actions as required
• Ensure good and tidy document housekeeping and timely correspondence:
  Maintain letters of award, approvals, amendments, etc.
  Maintain grants data and progress reports

Qualifications

• At least PhD in Life Sciences, Medicine, or related field
• Preference will be given to candidates with experience in:
  Science Project Management
  Research Grant Management or Administrative
  Scientific legal matters e.g., MTA, service agreements, RCA, patent filing etc.
• Able to work independently, effectively and a good team player
• Proactive, meticulous, analytical, resourceful and organized
• Demonstrated ability to deliver results to the appropriate quality and timeline metrics.
• Excellent writing and reporting ability
• Excellent communication and presentation skills
• Proficient in Microsoft Suite (including Word, PowerPoint, Excel, Outlook, and Teams), Adobe and Zoom applications

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

We are looking for a research engineer / fellow to help us develop a novel design for a blast door system as part of an industrial research project developing. The results of this project will be used in projects throughout Singapore. It is our aim to include all the door components in the analysis, making this a holistically developed solution.
The research will be conducted using numerical simulations, experiments and analytical solutions. The successful candidate will have a chance to acquire in depth experience in all these aspects of protective research and design.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Be responsible for these technical deliverables:Develop models of the door system using advanced finite element software.
  Plan and conduct blast testing of the proposed solutions.
  Conduct laboratory tests of components as needed.
  Develop analytical models for fast design.
  
• Carry out Risk Assessments and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team, to ensure the achievement of the project objectives and proper operation and maintenance of equipment.

Job Requirements:

• Have a basic knowledge of structural dynamics.
• Have a degree (preferably Master’s or PhD) in mechanical engineering, electrical / electronics engineering or related domains.
• Knowledge of blast and shock loading theory and applications would be advantageous
• Knowledge of non linear materials modelling would be advantageous

Key Competencies

• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Have some experience in the use of advanced FEM analysis. This could include experience in ABAQUS, LS-Dyna, Radioss or equivalent software.
• Able to support other related laboratory tasks as needed
• Willing to learn new skills as needed for the project

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 be responsible for leading specific research programmes in remote sensing technology and applications. They are expected to continuously enhance the scientific knowledge of the Centre and participate actively in remote sensing technology development and application projects.

We are specifically looking for candadiates to lead the following projects:

1. Monitoring Water Quality and Harmful Algal Blooms in Singapore Coastal Waters with Multispectral and Hyperspectral Satellite Data.
Experience and expertise in the following areas will be advantageous:
* Theory and applications of ocean colour remote sensing and ocean optics.
* Retrieval of water quality parameters from in-situ and satellite data.
* In-situ measurements of sea water optical properties.
* Radiative transfer simulations (e.g. with Hydrolight code) of water reflectance.
* Atmospheric correction of satellite data.
* Machine learning and artificial intelligence techniques for remote sensing applications.

2. Forest Biomass Estimation Using Spaceborne Polarimetric Synthetic Aperture Radar Data.
Experience and expertise in the following areas will be advantageous:
* Theory and applications of polarimetric synthetic aperture radar.
* Estimation of forest biomass from satellite data.
* Airborne, spaceborne Lidar for vegetation studies.
* Regional land cover/vegetation/biomass mapping.
* Land use and land cover change.
* Machine learning and artificial intelligence techniques for remote sensing applications.

Qualifications

- A Doctoral Degree in Science, Engineering, or in other relevant disciplines with research experience in remote sensing or related fields.

Other qualities we are looking for:
* Good knowledge of advanced digital data/image processing techniques and applications
* Experience and skill in scientific and engineering computing
* Ability to develop and implement data/image processing and/or machine learning algorithms

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 Assoc Prof Lu Jiong on magnetism in carbon nanostructures under a project on Intelligent topological engineering of single-molecule quantum π-magnets.

The main responsibilities of the position include:

1) the synthesis and characterization of carbon nanostructures

2) Theoretical understanding the magnetic and electronic properties of these molecules

Qualifications

• Qualifications / Discipline: PhD in Chemistry or Physics or Materials Science
• Skills: Material Synthesis/Characterization or Computations or Scanning Probe Microscopy
• Experience: Material Synthesis/Characterization or Computations

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a Research Engineer.

The successful candidate will work on numerical simulations of fluid-structure interaction, including waves and tides interacting with large deformable platforms and renewable energy devices.

Job Requirements

• Possess at least a Bachelor’s degree in hydrodynamics, coastal/ocean engineering, or a related discipline. Masters degree in related field will be advantageous.
• Knowledge of coastal dynamics such as waves and tides.
• Strong writing and communication skills.
• Good publication record is advantageous.
• Open to fixed term contract.

Research Associate, Animal Sciences

(Full-time position – Singapore based location)

ABOUT HUMMINGBIRD BIOSCIENCE

Hummingbird Bioscience is a data-driven precision biotherapeutics team discovering and developing transformative biologic medicines for hard-to-treat diseases. The Hummingbird Bioscience model combines computational and systems biology and wet lab drug discovery in a multi-disciplinary, collaborative environment spanning initial discovery through clinical development. We harness this integrated approach across target identification and patient selection, enabling our team to increase the efficiency of translating novel scientific insights while reducing the inherent risk in drug discovery and development. At Hummingbird Bioscience, our commitment to rigorous science, teamwork, and intellectual integrity underpins our passion to accelerate the journey of new drugs from concept to clinic.

Our highly experienced teams in the US and Singapore span antibody discovery, pharmacology, production and clinical development. For more information, please visit www.hummingbirdbioscience.com, and follow Hummingbird Bioscience on LinkedIn, Twitter and YouTube.

ABOUT THE ROLE

We are looking for a Research Associate, Animal Sciences to join the Animal Sciences Pharmacology team. The job function includes testing and optimizing of novel antibody therapies in various animal models. It is an exceptional opportunity to translate basic discoveries to the clinic. This will be a permanent role for the right candidate with ample opportunity to grow within the company.

KEY RESPONSIBILITIES

• Perform duties in accordance with animal welfare regulations, Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC), and Institutional Animal Care and Use Committee (IACUC) guidelines
• Support team of scientists via meticulous execution of planned studies in a timely manner
• Handling animals with proficiency using species-specific techniques
• Perform routine laboratory research activities such as: daily observations of animal health, collection of biological specimens from animals for testing upon requests of scientific team
• Perform advanced laboratory research activities on variety of animal species such as: obtaining blood, bone marrow, and tissue samples, immunization, administration of pharmaceuticals, anaesthesia and euthanasia
• Compile and analyze research data using various relevant software (Prism-GraphPad; MS Office)

ESSENTIAL QUALIFICATIONS

• Diploma or Degree in Life Sciences
• Minimum 1-year relevant experience in working with laboratory animals
• Responsible Care and Use of Laboratory Animals (RCULA) certified
• Experience with cell-and patient-derived xenograft models, tail bleeds, subcutaneous & intraperitoneal injections, tumor measurements, oral gavage, cardiac perfusions, dissections, immunogen preparation
• Excellent oral and written communication skills are required
• Proficient in MS Office

DESIRABLE QUALIFICATIONS

• Experience with multiple animal models, including mice and rats is preferable
• Experience with PK and toxicity studies is preferable
• Proven ability to work on multiple projects at once
• Proven ability to independently manage work
• Willing to work over weekends when necessary (on overtime pay)
• Experience with Prism - GraphPad is a plus

OUR MISSION & VALUES

Our fast-growing biotechnology company is committed to discovering and developing important new drugs for cancer and autoimmune diseases, and living by our values: Excellence, Determination, Teamwork, Intellectual Integrity and Audacity.

JOIN US AT THE FRONTIER OF DRUG DISCOVERY AND DEVELOPMENT

We are looking for passionate and motivated individuals committed to solving important, complex problems. We are committed to the personal and professional development of our team and offer robust learning and development programs. Hummingbird Bioscience understands the need for flexibility for our team and offers a generous paid time off program with flexibility to support employees through different life stages. We invest in our team’s health by offering competitive benefits including health and dental insurance, and a comprehensive and holistic employee assistance program. We foster a more collaborative, productive, and sociable culture with on-site lunches and snacks. Finally, we believe in creating social impact beyond our business through corporate social responsibility initiatives.

Are you ready to join us on our mission to discover and develop important new drugs for cancer and autoimmune disease? Click on ‘Apply for this Job’ to submit your application.

For further enquiries, please email us at [email protected].

Hummingbird Bioscience is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all Singapore and US federal, state and local laws and/or guidelines that prohibit employment discrimination on the basis of age, race, color, gender, sexual orientation, gender identity, ethnicity, national origin, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions, marital status, protected veteran status and other protected classifications.

Job Description

We are looking for talented and dynamic Computational Biologists/Bioinformaticians/Data Analysts to work with a multidisciplinary group of scientists on the discovery of new targets for therapy in Diabetic Nephropathy (DN), a devastating complication of diabetes causing significant morbidity, mortality and human suffering. In Singapore, the incidence of DN as a cause of end-stage kidney disease is among the highest in the world. The job will be part of the NMRC-funded project called Diabetes Study in Nephropathy and other Microvascular Complications II that is coordinated by Duke-NUS Medical School, and will be based in within the Centre for Computational Biology (CCB) of Duke-NUS. The multi-omics data for the project have been already generated and are ready for analysis. The job is available immediately, and it will be for a period of 3 years, with possible extension depending on performance and funding availability.

The selected candidate will perform a variety of research activities within the overall scope of the DYNAMO II research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Perform analysis of complex and large-scale genomics data, including (but not limited to) WGS and transcriptomic data (including single cell sequencing data).
• Use computational tools and algorithms written in one/all R, PERL and Python.
• Apply qualitative and quantitative research techniques which include accurate in-depth assessment, interpretation, and evaluation of -omics data sets, conceptualise new ideas and develop plans for independent research in the field of WGS and other -omics data modalities (e.g., RNAseq, scRNA-seq, etc.).
• Write and review research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Contribute to project management, provide guidance to junior researchers as well as undergraduate and graduate students, occasional educational/instructional activities.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in a related scientific area (e.g., Bioinformatics, Computational Biology, Data Analytics) with demonstrated hands on experience in bioinformatics and genetics/genomics data analyses. Candidates with higher credentials may be considered for more senior appointments.
• Demonstrate very good knowledge, skills and expertise, with potential to achieve research excellence in genetics and genomics.
• Experience in data analysis and statistical modelling of genomic data, as well as in network analysis and application to complex diseases.
• Familiar with high-performance computing (HPC) environment and possesses strong computational biology skills (experience in R, Perl, Python, SQL, Bash etc).
• Proven track record in the form of high impact publications.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

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

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

Energy Studies Institute (ESI)

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for researchers to join a multi-disciplinary team carrying out research projects on a range of energy issues that are of concern to Singapore and the region.

The Energy and the Environment Division has a vacancy for a researcher in the fields of energy systems modelling and analysis, environmental sciences or other related quantitative research fields. The researcher will support ongoing research projects of the division.

Job Scope

• Develop strong modelling research that contribute to project deliverables.
• Contribute to project presentations and reports, and publish articles in reputable academic journals.
• Carry out administrative tasks, including the organising of seminars and workshops, management of student interns, and other tasks assigned by the Division Head and PI.

Requirements

• Possess a PhD degree in the fields of energy and climate economics, energy systems modelling, operations research, management science, or other related quantitative research fields.
• A good understanding and interest in energy, climate change and related policy issues, such as energy supply and demand, regional power grids, energy and the environment, climate change and the Paris Agreement.
• Relevant research experience using climate change / energy modelling tools, such as the Integrated Assessment Model, and power dispatch model, optimization approach, etc. A good knowledge of programming language (e.g., Python) would be an advantage.
• A solid knowledge of optimization methodologies would be highly valuable.
• Relevant working and practical experience in industry or government agencies in the area of energy and environment would be highly valuable.
• Relevant research experience on the ASEAN region would be an advantage.
• Published in reputable energy, environmental and/or systems modelling related journals.
• Has a strong written and oral command of the English language.
• Able to work independently and as part of a team.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application:

• Curriculum vitae
• A cover letter, of no more than 800 words, explaining the applicant’s past research experience and aptitude in relation to the research project

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for interview, either in person or by zoom, as appropriate. If you have not heard from us within 3 months, you should assume that your application has not been successful.

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

The laboratory of Antimicrobial Resistance and Drug Development in A*STAR ID Labs is looking for a highly self-motivated individual to join us as a Research Officer. Our lab is interested in developing new screening assays for drug discovery and early-stage antimicrobial drug development. Lab has extensive experience working with various pathogens (bacteria, virus and parasites).

The job responsibilities include:

• Bacterial and viral assay development and assay optimization
• Compound screening
• Target deconvolution (understanding mechanisms of action and resistance of selected compounds)
• Design and conduct experiments including data collection and analysis
• Summarize and present the data in lab meetings
• Develop new research techniques and approaches
• Collaborative spirit with internal and external collaborators
• Perform maintenance of inventory and procurement of laboratory consumables
• Ensure safe technical practices and procedures

Job Requirements:

• Bachelor Degree in Life Sciences/Biomedical Sciences, Microbiology, Molecular Biology or related field
• 5 years of relevant experience or candidates with relevant final year project expereince
• Highly motivated and able to work independently
• Adaptable to working with different organisms (bacteria or viruses)
• Team player with good interpersonal skills
• Good spoken and written communication skills
• Possible work in a BSL3 facility

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.

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Generate sales leads
• Identify and assess clients’ needs to achieve satisfaction
• Build sustainable relationships and trust with clients' accounts through open and interactive communication
• Provide accurate, valid and complete information by using the right methods/tools
• Meet personal/customer service team sales targets and call handling quotas
• Keep records of customer interactions, process customer accounts and file documents
• Follow communication procedures, guidelines and policies
• Take the extra mile to engage customers

JOB REQUIREMENTS

· Minimum Diploma and above

· Willing to learn and flexibility to adapt to working environment

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

OUR COMPANY

We, at RegASK are a high growth global RegTech company leveraging technology and global network of experts to revolutionize regulatory intelligence, serving the LifeSciences (MedTech, CROs, Pharma) and FMCG industries (Food, Personal Care). RegASK team is highly diverse with more than 10 nationalities across 3 continents, we are entrepreneurial and very agile, enjoying the benefits of working across industries and across the globe.

We are currently recruiting highly motivated talents to expand its team and support its ambitious growth plans.

RegASK is an international, diverse and rewarding place to work. If you are a builder, highly autonomous in your working style, and eager to problem solve, we would love to hear from you.

RegASK is part of Sprim Global Investments portfolio, a group of 500+ people in 19 offices across 6 continents, finding solutions, discovering and implementing new ideas to deliver better health.

THE POSITION

Title:

Chief Operating Officer (COO)

As the COO, you will play a pivotal role in driving operational excellence, scalability, and efficiency across the organization. This individual will collaborate closely with cross-functional teams to streamline processes, enhance productivity, and contribute to the overall success of RegASK. The ideal candidate is a strategic thinker, possesses strong leadership skills, and has a proven track record of optimizing operations in a fast-paced SaaS / Tech-enabled environment. This is a transversal role which includes revenue operations and content operations. You will be working closely with our CEO, Chief Product & Technology Officer and Head of Finance.

Key Responsibilities:

1. Operational Strategy:

· Develop and implement a comprehensive operational strategy aligned with the company's goals and objectives.

· Drive initiatives to optimize processes, reduce costs, and improve overall operational efficiency.

· Develop and implement operational strategies aligned with organizational goals and objectives.

2. Revenue operations:

· Collaborate closely with sales, marketing, and customer success teams to ensure alignment of revenue goals. Act as a bridge between departments, facilitating communication and addressing operational challenges.

· Revenue strategy:

o Work in collaboration to develop and implement a comprehensive revenue operations strategy aligned with the company growth subjective.

o Collaborate with sales, marketing, and customer success teams to optimize revenue generation processes.

· Sales process optimization:

o Analyze and optimize the end-to-end sales process to improve efficiency and accelerate deal cycles.

o Implement tools and technologies to enhance sales productivity and performance.

· Forecasting & Budgeting:

o Collaborate with finance to develop accurate revenue forecasts and budgets.

o Monitor performance against targets and implement corrective measures as needed.

3. Team Leadership:

· Lead, mentor, and inspire a high-performing operations team.

· Foster a culture of collaboration, innovation, and continuous improvement.

· Establish clear performance metrics and goals for the operations team, ensuring alignment with company objectives.

4. Process Optimization:

· Identify and implement process improvements across various departments to enhance workflow and efficiency.

· Work closely with department heads to analyze current processes and recommend enhancements to drive scalability.

· Implement best practices and standards for operational excellence.

· Identify and pursue opportunities for process improvement and cost optimization.

· Ensure seamless coordination and alignment of operational activities with overall business objectives.

5. Data Analysis:

· Utilize data-driven insights to make informed decisions and drive operational improvements.

· Implement key performance indicators (KPIs) to measure and track the success of operational initiatives

6. Risk Management:

· Identify and mitigate operational risks that may impact the business and develop strategies to mitigate them.

· Develop and implement contingency plans for critical operational functions.

Requirements:

· Bachelor's degree in Business Administration, Operations Management, or a related field.

· 10 years of experience in senior operations role, within a SaaS or technology driven company.

· Familiarity with Technical and software proficiency

· Tech tools relevant to this position

· Strong leaderships and team management skills.

· Excellent analytical and problem-solving abilities.

· Effective communication and interpersonal skills.

· Project management and organisational skills

· Experience with Series A and Board participation will be an added advantage.

· Strategic thinking & Cross functional skills

· Knowledge of LifeScience / Software industry is a plus

How to Apply:

If you are excited about this opportunity and believe you have the skills and qualifications to excel as our COO, please submit your resume for consideration.

Please include, COO application on the subject line.

We appreciate all applications, but only selected candidates will be contacted for an interview.

Thank you for considering joining the RegASK team. We look forward to reviewing your application!

Objectives of this role

• Take responsibility (either directly or via staff) for all cash management, investments, insurance, budgeting, and financial reporting, and help drive the company’s financial strategy and hiring needs
• Coordinate and reporting development of annual operating, capital, and program budgets
• Ensure cash flow is compatible with operations by overseeing day-to-day accounting, recording, reporting, and internal-control activities of the organization
• Develop and implement best practices and tools to ensure a well-controlled yet flexible organization that has strong fiscal management, project coordination, cross-team communications, and workflows
• Comply with national and local financial requirements by studying existing and new legislation and taking appropriate action

Responsibilities

• Work with senior managers to efficiently develop budget proposals, provide access to project finance information, and ensure contract/grant compliance and reporting
• Research revenue opportunities and economic trends, analyze internal operations, and identify areas for cost reduction and process enhancement
• Perform risk management through analysis of company liabilities and investments, and evaluate and manage capital structure and fundraising initiatives
• Monitor business performance with tracking tools, establish corrective measures as needed, and prepare detailed reports for earnings calls, management team, and rest of company
• Manage finance personnel and oversee financial IT systems, ensuring compliance with relevant regulatory entities

Required skills and qualifications

• Five or more years of experience in executive leadership roles
• Excellent leadership skills, with steadfast resolve and personal integrity
• Exceptional verbal, written, and visual communication skills
• Japanese speaking at business level
• Understanding of advanced accounting, regulatory issues, and tax planning
• Working knowledge of how to raise capital outside traditional lines of credit

Preferred skills and qualifications

• Master’s degree (or equivalent experience) in accounting, business accounting, or finance
• International finance experience
• Professional certification (ex: Certified Public Accountant)

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

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

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies

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

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

Learn more about CQT at www.quantumlah.org

Job Description

The applicant will collaborate with Research Prof. Itai Arad in the intersection of complexity theory, quantum information and quantum foundations. The job will include studying problems related to the quantum PCP conjecture. We will try to attack this problem by studying classical toy models that posses the central ingredients of the quantum problem, yet are easier since they are classical. In particular, we shall work on a "quasi-quantum" theory, which deals classical probability distributions as generalizations of quantum states. We will study the computational complexity of the local Hamiltonian problem over these states. For this purpose, the successful applicant will be granted significant independence concerning their research.

EOS Defence Systems Pte Ltd has a requirement for qualified and experienced scientist to join a dynamic R&D team as a Senior Team Leader working in the areas of developing advanced high power and high energy laser systems. The work is challenging, and applicants should be technically capable and experienced to provide leadership in the design and development of advanced laser systems. Applicants must possess appropriate qualifications, a Ph. D in laser physics, with extensive experience in the areas of developing and managing the R&D of high power and high energy lasers are essential.

Primary duties:

1. Undertake research and development of high-level system concepts of advanced laser systems for defence and space applications.
2. Design and development of advanced high power (multi-kW) Continuous Wave (CW) fibre lasers, amplifiers, and high energy (multi-Joule) pulsed solid state lasers.
3. Design and development of multi-beam combination technologies including Coherent Beam Combination, Spectral (Wavelength) Beam Combination, and other advanced beam combination technologies.
4. Design and development of other advanced laser technologies, such as phase conjugate mirror, imaging relay systems, single frequency generation, etc.
5. Design and development of advanced optical systems such as adaptive optics, telescopes, and beam management systems.
6. Provide necessary leadership and co-ordination for members of R&D team for various R&D activities.
7. Provide training to young team members on lasers, optics, and photonics.
8. Undertake alignment, testing, operation, maintenance and debugging of laser systems, laser power supplies, optical instruments, associated electronics, and control software.
9. Preparation and maintenance of high standard documentation in respect of design and development work undertaken in accordance with various quality objectives and procedures

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

Having witnessed the achievements of the large models in 2023, there has been a new surge of machine learning and AI models in recent days, which again puts up the public concerns about the explosively increasing energy consumption during the model training phase. According to Dr. Sajjad Moazeni, an AI researcher at University of Washington, the training of GPT-3 roughly consumes 10 gigawatt-hour of electricity ^([1]), approximately equivalent to the daily electricity consumption of 440,000 average Singapore households in 2021 ^([2]).

Significant efforts have been devoted to improving the efficiency of the model training phase, in terms of hardware, model architecture, networking, and algorithm design, etc. The PI (Dr. Zhang Junyu) of this project would like to tackle this problem from the algorithmic perspective, by developing theoretical understanding of the open questions on the training algorithms, in terms of the convergence, complexity, local landscape properties, and potential algorithmic improvement based on the new theoretical findings.

[1] Data from UW News. [2] Data from Statista

Qualifications

Interested applicants are required to possess a PhD in 2024. He/she should have a good understanding in

1. convergence and complexity analysis for (nonconvex) optimization algorithms

2. stochastic process and martingale theory

3. semi-algebraic and subanalytic geometry

4. stochastic approximation methods

5. dynamical systems

The applicant should also be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.