Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Associate, Microbiome & Bioinformatics

We are looking for a Research Associate to join the laboratory of Dr Anni Zhang at SBS. This role focuses on a cutting-edge project, “Predicting DNA-Protein Binding to Enhance Bacteria-Based Cancer Therapy Safety and Efficacy.”

Key Responsibilities:

• Collect and analyze bacterial sequencing data.
• Design bioinformatics and statistical models to detect selective sweeps in the gut microbiome.
• Provide guidance on other microbiome-related projects within the lab.
• Other duties as assigned.

Job Requirements

• A Master's degree in Quantitative Biology or a related field, with a focus on bioinformatics.
• Strong communication skills in English - essential for data analysis and communication with stakeholders
• Experience in developing statistical models.
• Strong background in microbiology and mathematics.
• Personal attributes: patient, curious, cooperative, and meticulous.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Interested applicants are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• Fabrication of 2D materials based memristors using mask aligner, electron beam evaporator and shadow masks
• Characterization of 2D materials based memristors using a semi-automatic probe station, semiconductor parameter analyser.
• Characterization at the materials level using SEM, TEM, FIB, XPS, and Raman Spectroscopy.
• Other routinal paperwork related to the correct functioning of the group, including purchases, contract preparation and reimbursements.

Qualifications

• PhD in Materials Science and Engineering plus 3 years postdoc in memrsitors.
• Proficiency in using all the above mentioned machines
• Publications in top journals
• Fluent in English and Chinese language (including read/write) as the candidate is also expected to support applications for funding in collaboration with China (for example, with the NUS - Suzhou Research Institute).

Research Fellow position is immediately available at the Hematopoietic Stem Cell Laboratory located at National Cancer Centre Singapore. The Hematopoietic Stem Cell Laboratory laboratory under Prof William Hwang is looking to for RF who can bring the skillset to the hematopoietic stem cell expansion platform.

Education Qualifications:

- PhD with minimum 2 years of relevant experience with specialisation in stem cell culture.

- Good oral and written English.

Relevant Experence:

- Perform induced pluripotent stem cells (iPSCs), hematopoietic stem cells (HSCs) and/ or mesenchymal stromal cells (MSCs) culture.

- Experience with induced pluripotent stem cells is a plus.

- Experience with cell expansion systems (suspension or adherent types).

- Ability to read, analyse and interpret scientific data and publications.

- Ability to author or review protocols, technical reports and technology transfer documents.

- Ability to define problems, collect data, establish facts, and draw conclusions.

- Able to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies.

- Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, 10X genomics, Mass Spectrometry and bioinformatics will be valued.

- Excellent organisational skills.

- Proficient in molecular biology techniques (e.g. DNA and RNA isolation, qRT-PCR, sequence analysis, plasmid cloning, protein analysis and western blot), data analysis (E.g RNA-seq).

- Experience in generation and expansion of iPSC's, T cells, NK cells, HSCs and/or MSCs.

- Immunostaining, microscopy and image analysis (e.g. FISH).

- Experience in handling tissue samples for derivation of cell lines.

- Ensure continuous professional development by keeping up to date with all technical knowledge and skills in line with current best practices.

The following laboratory skills are desirable:

- Stem cell biology and differentiation.

- Transcriptomics, metabolomics and proteomics with advanced bioinformatics analysis.

- Flow cytometry, FACS and high throughput screening analysis.

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 Assistant position is open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.

Job Description

This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.

The successful candidate is required to:

• To prepare and meet the project deliveries and milestones;
• Conduct research on Robust AI for autonomous vehicles that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks, or Digital Twin development (3D reconstruction, Generation, etc).
• To advance the knowledge, to publish in journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• At least a bachelor's degree and/or master's degree in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
• Prior experience in managing project, laboratory or research funding is advantageous;
• Responsible and able to work independently;
• Excellent written and spoken communications;
• Programming skills in one of the programming languages: Python, C/C++, Matlab, etc.
• Open to Fixed Term Contract.

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

NTU’s School of Materials Science and Engineering (MSE) seeks a highly skilled and innovative researcher to drive advancements in small molecule electroconversion, with a strategic focus on ammonia. The role involves integrating expertise in computational modeling, machine learning, materials synthesis, and characterization to develop cutting-edge, sustainable solutions in energy systems. This position supports NTU MSE’s mission to lead world-class research that addresses pressing global challenges in energy storage and environmental sustainability. The successful candidate will contribute to high-impact publications and pioneering projects that reinforce NTU’s leadership in transformative research.

Key Responsibilities:

• Conduct research to design and develop advanced electrode materials and catalytic systems for small molecule electroconversion, focusing on ammonia.
• Utilize computational tools, such as Materials Studio, along with machine learning techniques (Python, Matlab), to simulate and optimize material properties and reaction mechanisms.
• Synthesize and characterize materials using advanced techniques, including XRD, Raman spectroscopy, TEM, and XAFS, to evaluate structural stability and performance.
• Perform electrochemical testing and develop protocols to assess catalytic and energy storage efficiency.
• Integrate experimental results with machine/deep learning and theoretical insights to identify and understand new reaction mechanisms.
• Publish findings in high-impact journals and present at international conferences to enhance NTU’s academic reputation.
• Collaborate within multidisciplinary teams to ensure project milestones are met and contribute to the the project research goals.
• Lead and contribute to innovative solutions addressing challenges in electrochemical processes for sustainable energy systems.

Job Requirements:

• Ph.D. in Chemistry, Materials Science, or a closely related field, with a strong focus on electrochemistry, catalysis, or energy materials.
• Expertise in material synthesis, advanced characterization (XRD, Raman, TEM, XAFS), and electrochemical testing methodologies.
• Proficiency in computational modeling tools and machine learning (Python, Matlab) for predictive and analytical purposes.
• Demonstrated research background in designing and optimizing electrode materials and catalytic systems for energy applications.
• Strong publication record with papers in high-impact journals, showcasing significant contributions to material science and electrocatalysis.
• Problem-solving skills with a demonstrated ability to integrate experimental and theoretical approaches to address complex research challenges.
• Familiarity with electrochemical cell assembly/design, testing, and visualization tools (e.g., Photoshop).
• Proven organizational and project management capabilities to deliver impactful and timely research outcomes.

We regret to inform that only shortlisted candidates will be notified.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a center of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements

• Master’s Degree in Public Health or other related fields
• Minimum 2 years of working experience in Singapore’s healthcare/ research setting
• Experience in Singapore IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

A Trainee Ship Broker is responsible for many stages of setting up and negotiating deals, including presenting the business to potential clients, negotiating the main terms of a contract or sale and seeing it through to its conclusion and any follow up that may be involved.

Duties and responsibilities

· Develop a framework and processes to manage chartering business.

. Oversee negotiations relating to ship chartering. Work closely with traders and attend to their queries, looking for cooperation with trader directly.

· Negotiate charter party terms and conditions on behalf of Owners or Charterers.

· Provide timely and accurate shipping information, voyage calculations to trading teams to facilitate smooth trading activities.

· Excellent communicational skills are required to liaise with ship owners, cargo owners, ship brokers etc.

· Capability to work under pressure

· Self-motivated and a team player

Position Summary:

This role primarily supports SEA financial forecast and Business Finance activities. The employee will support various aspects of the business financials to enable better decision making and improve the financial positions with analysis, management reporting, and financial operations. The role also supports regional SOX controls & enhancements for the CSBG business.

Job Responsibilities:

• Develop, analyze and business partnering with operations to present financial information in a timely manner to enable decision making and meeting the financial accountability of the organization to various stakeholders.
• Responsible in forecast inputs, analysis and period close journals of revenue, costs, spending to ensure high level of accuracy between forecast and actuals. Recommend financial solutions to improve profitability, AR collectability and ease of revenue recognition. Involve in Business Finance Operations: AR collection, manage revenue rebate programs, and resolve issues relating to GST, rebates, that may implicate AR / Revenue recognition.
• Compliance analysis and reporting relating to regional SOX controls of customer transactions in Spares, Upgrades, Services & Reliant system businesses. Drive regional SOX controls enhancements for CSBG business.
• Undertake streamlining projects and initiatives involving systems improvement, reporting improvement.
• Matrix accountability to respective supervisor.
• Any other duties as assigned by the Immediate Supervisor.

Job Requirements:

• Accounting / Finance or Business Degree with Finance modules;
• At least 10 years of Finance / Accounting experience with > 5 years of recent experience in Analysis & at least 1-2 years handling SOX tasks.
• Experience in supporting business finance operations (Revenue Recognition, manage rebate programs, AR collection, etc.)
• Past experience in systems improvement or streamlining projects would be advantage.
• Audit background preferred and/or good knowledge of US GAAP and Singapore FRS.
• Possesses strong inter-personal and communications skills. Out-going personality and successful examples in cross-functional collaboration, managing difficult work partners.
• Is meticulous and maintains detailed and accurate accounting records. Efficient in time-management and fast in execution.
• Commands good oral and written English.
• Has ability to work independently, possesses good analytical and problem solving skills.
• Good working knowledge of SAP preferred.
• Very strong in Microsoft Excel and Microsoft Powerpoint

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• A key member of the development team, building and enhancing key components for QRT
• A role with the potential to touch many aspects of electronic and algorithmic trading, backtesting, and data management systems
• Working with traders and quants to roll-out, support and run strategies
• Building and supporting new quantitative trading framework software
• Designing clean architecture and leveraging state of the art tools and components
• Bringing new ideas and experimenting with new technologies

Your present skillset

• 1-9 years’ professional experience
• Advanced skills in one or several programming languages
• Strong Python skills
• Very high standards in code quality and good development practices
• Knowledge of real-time systems, high performance computing and quantitative applications an advantage
• Strong team-player
• Experience working within a mature CI/CD process, DevOps experience
• Strong communication skills
• C++ or C# experience would be an asset

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• A key member of the development team, building and enhancing key components for QRT
• A role with the potential to touch many aspects of electronic and algorithmic trading, backtesting, and data management systems
• Working with traders and quants to roll-out, support and run strategies
• Building and supporting new quantitative trading framework software
• Designing clean architecture and leveraging state of the art tools and components
• Bringing new ideas and experimenting with new technologies

Your present skillset

• 9+ years’ professional experience
• Advanced skills in one or several programming languages
• Strong Python skills
• Very high standards in code quality and good development practices
• Knowledge of real-time systems, high performance computing and quantitative applications an advantage
• Strong team-player
• Experience working within a mature CI/CD process, DevOps experience
• Strong communication skills
• C++ or C# experience would be an asset

AWARE is seeking a compassionate and dedicated individual to join us as a Programme Manager to lead our Case Management team. Our service involves working with clients to access justice via exploration of options, navigating systemic barriers and advocacy work. We are looking for an experienced practitioner with social work and/or counselling cum managerial experience in the social service sector or related setting.

Join us if you have a strong understanding of gender-based violence, women's rights issues, as well as a strong commitment to the values of AWARE’s gender- and trauma-informed practices.

Position: Programme Manager (Case Management) -E3

Department: CARE

Salary Range: $4520 to $5400

Term: 1 Jan 2025 to 31 Dec 2026

Responsibilities

• Provide leadership in strategic work targeting systemic change - both in internal work, and/or to respond to the changing landscape of Singapore’s social service provision
• Lead and manage the team to deliver timely and quality service in case management, befriending and case advocacy work
• Oversee and manage the budget, planning, development, monitoring and evaluation of the programme
• Lead team capacity building via clinical and administrative supervision and training
• Engage in staff recruitment, onboarding and training
• Provide casework, including crisis intervention to meet overall needs of survivors of gender based violence, including their significant others, when needed.
• Liaise with authorities like the criminal justice system, police, hospitals and other social service community partners to increase service access for survivors
• Promote case management and CARE services through knowledge exchange and collaboration with community partners
• Work closely within the CARE team, with external consultants, across departments and the Executive Director
• Collaboratively design and conduct Sexual Violence related groupworks
• Conduct related training to volunteers, staff and community partners for capacity building
• Any other necessary tasks as required by the Head of Department, based on capacity

Qualifications and Work Experience

• Recognized Masters degree in social work, psychology or counselling
• Minimum 5-8 years in case management or a related field, with at least 2 years in a managerial and/or supervisory role in a social service organisation or related
• In-depth knowledge of case management principles, practices and procedures, with skills in training and capacity building in these areas
• Familiarity with relevant local legal, regulatory and industry practices and guidelines that affect case management services
• Experience in managing daily operation, programme development, implementation and evaluation
• Experience in strategy planning, work planning and managing people and financial resources effectively
• Experience in gender violence and trauma work (preferred)
• Experience in advocacy work (preferred)
• Experience in conducting group work (preferred)

Skills

• Professionalism, leadership, clinical and people management skills are essential
• Strong interpersonal and communication skills (both verbal and written-second language such as Chinese, Malay or Tamil preferable)
• Ability to maintain professional boundaries
• Ability to handle sensitive information with discretion and confidentiality
• Strong organizational and time management skills
• Proficiency in Google Workspace (Google Docs, Sheet, Slides, Drive) or similar Office Suites, and relevant database systems
• Ability to lead independently and also has strong teamwork ethos
• Ability to work with a multidisciplinary team
• Flexibility and adaptability to handle a fast-paced environment, work under pressure and manage competing demands
• Excellent case recording and record-keeping skills
• Ability to interpret and analyse both quantitative and qualitative data and produce reports
• Advocacy lens (preferred)
• Group work skills (preferred)
• Knowledge and skills in gender violence and trauma work (preferred)

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Please note that, due to the large number of applications, only shortlisted applicants will be contacted for an interview. If you have any questions about this position, please email [email protected].

Position: Sales Administrator (ECS)

Location: Henderson Rd

Working Time: Mon -Thurs (in office), Friday (WFH) - 8.30am - 5.15pm

Salary: $3200 - $3900

REPORTING LINE: Sales Director of Electrical Connectors Division

PURPOSE OF THE POSITION: You work as part of an office-based admin support to the ECS team of 4 sales engineers/director; coordinating between the sales team with customer/prospect visits, calls and e-mail.

• Provide support to Outdoor Sales Team on quotations and proposals
• Manage and follow-up tele-enquiries, email-enquiries
• Handling of incoming calls and collections
• Process of sales orders and ensure orders fulfilment
• Coordinating all deliveries to ensure efficient and effective services to the customers
• Create and maintain both inventory and customer databases
• Conduct mass mailing and tele-marketing periodically
• Assist in organizing exhibitions and seminars as and when needed
• Manage samples, catalogues and flyers
• Any other ad-hoc duties which may be assigned to you from time to time

Skills & Qualifications

• Diploma or equivalent
• Minimum of 3 years experiences in sales admin support
• Proficient in computer knowledge (Microsoft Office)
• Experience in SAP System will be advantage, Training Provided for SAP

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The job is to conduct research on the evaluation of pre-trained vision-language models' video understanding capabilities and the utilization of these pre-trained models for video question answering.

Candidate's core responsibilities are:

• Collect data through web crawling and/or crowdsourcing
• Implement baseline methods based on previous research papers
• Implement new methods to improve the performance of large language models
• Conduct experiments to empirically evaluate different methods
• Contribute to the preparation of manuscripts for publication

• Minimum PhD degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 3 years of relevant research experience in video processing, analysis, and research
• Excellent knowledge in large-scale video processing and search
• Good knowledge and experience in system development and engineering
• Good skill in computer programming
• Good knowledge in dataset curation and preparation of dataset for deep learning
• Self-motivated individual who can work independently as well as collaboratively in a team to research and engineer challenging problems

#LI-JN2

A Trainee Ship Broker for cape size is responsible for many stages of setting up and negotiating deals, including presenting the business to potential clients, negotiating the main terms of a contract or sale and seeing it through to its conclusion and any follow up that may be involved.

Duties and responsibilities

· Develop a framework and processes to manage chartering business.

. Oversee negotiations relating to ship chartering. Work closely with traders and attend to their queries, looking for cooperation with trader directly.

· Negotiate charter party terms and conditions on behalf of Owners or Charterers.

· Provide timely and accurate shipping information, voyage calculations to trading teams to facilitate smooth trading activities.

· Excellent communicational skills are required to liaise with ship owners, cargo owners, ship brokers etc.

· Capability to work under pressure

· Self-motivated and a team player

We are in search of a highly motivated and accomplished Research Fellow to join our team and significantly contribute to our upcoming research project "Empowering Real-World 3D Scene Understanding: Navigating Noise, Distribution Shifts, and Incremental Learning". The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for Real-world 3D scene understanding problems. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

Responsibilities:

• Undertake research in the field of real-World 3D scene understanding.
• Design and execute experiments to validate the proposed approaches.
• Analyze and interpret data sourced from inputs, including images or point clouds.
• Stay up-to-date with the latest advancements in real-world 3D scene understanding and related fields, and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences and journals.
• Deliver presentations on research findings at conferences and other pertinent events.

Qualifications:

• A doctoral degree in Computer Science, Electrical Engineering, or a related discipline, with a specialization on computer vision and machine learning.
• A strong background in computer vision, machine learning, and 3D geometry.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of mathematical concepts related to 3D computer vision, including geometry, optimization, and statistical methods.
• A proven track record of publishing research papers in esteemed conferences or journals.
• Excellent problem-solving and analytical abilities.
• Strong communication skills and the capability to work effectively in a collaborative research environment.

We are inviting applicants for the position of Research Fellow to work on projects at the intersection of artificial intelligence, engineering, and design. The successful candidate will work with researchers from other domains to implement multimodal deep learning models with language, spatial and geometric datasets across the design scales of products, buildings and cities.

Requirements:

• Strong mathematical and data science knowledge
• Strong deep learning programming skills
• Strong interdisciplinary approach in working with large-scale and real-world datasets.
• Strong knowledge in innovation and entrepreneurship

The candidate should hold a PhD in AI, computer science, mathematics, data science, or other related field.

Job Title: Postdoctoral Researcher (3D-printed Injection Molds)

Scope of the Research:

The project aims to investigate the feasibility of fabricating 3D-printed moulds for injection moulding. The objective of the project includes:

• To identify materials and additives used for the process
• To fabricate well-defined micro and nanostructures by additive manufacturing
• To fabricate hierarchical structures with well-defined inner morphologies

• To characterize the properties of the fabricated structures
• To automate the fabrication process
• To modify or develop instruments applicable to the developed process

The researcher will work in an interdisciplinary research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists.

Qualification, Skills, and Experiences:

• PhD (for postdocs) or M.S./B.S. (for research assistants) in chemistry, materials sciences and/or related fields • Experiences in digital fabrication (3D printing, laser cutting, fluid dispensing)
• Experiences in the design and manufacturing of scientific instruments
• Experiences in microfluidics, microfabrication
• Experiences in digital fabrication, CAD, and 3D drawing and modelling
• Good track record of scientific publications
• Excellent written and oral communication skills in English

A Ship Broker is responsible for many stages of setting up and negotiating deals, including presenting the business to potential clients, negotiating the main terms of a contract or sale and seeing it through to its conclusion and any follow up that may be involved.

Duties and responsibilities

· Develop a framework and processes to manage chartering business.

. Oversee negotiations relating to ship chartering. Work closely with traders and attend to their queries, looking for cooperation with trader directly.

· Negotiate charter party terms and conditions on behalf of Owners or Charterers.

· Provide timely and accurate shipping information, voyage calculations to trading teams to facilitate smooth trading activities.

· Excellent communicational skills are required to liaise with ship owners, cargo owners, ship brokers etc.

· Capability to work under pressure

· Self-motivated and a team player

The Trianee Forward Freight Broker is responsible for executing research on shipments and determining the divergences of the freight, fulfill any research related enquiries the Brokers may have or request for and other ad-hoc tasks.

• Monitor and stay up to date with factors such as the Baltic Index, fuel costs, cost of insurance etc.
• Perform and deliver an analysis for Market Supply & Demand Model with data collected.
• Maintain, update and refine the Freight Matrix to be distributed to clients.
• Work on the maintenance and development of various models and new products relating to international trade and the demand for shipping.
• Supporting senior team members in preparing presentations that are delivered to key clients.
• Providing general assistance to the Dry Market Analysis team and brokers with a variety of ad-hoc analytical requests.
• Education – Bachelor’s Degree in the Maritime Business / Data Science
• Specialized knowledge (Preferred)
  • Data Analysis
  • Computer Literacy (Proficient in MS Excel, PowerPoint, Word)Abilities
  • Outspoken
  • Good customer relations skills
  • Able to remain calm and deliver under pressure and tight deadlines
  • Other characteristics such as personal characteristics
  • Independent

Job Description

-Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models? behaviour and response by use of appropriate sensors.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

-Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Loads, motions and response analysis of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

-Any other duties as assigned by supervisor.

Job Requirements

-Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

-Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

o Offshore engineering, marine engineering, hydrodynamics, naval architecture.

-Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Programming codes such as Python, MATLAB, or equivalent.

o StarCCM+, OpenFOAM

-Model experiments in wave flumes, wave tank or ocean basin.

-Good interpersonal and communications skills.

-Ability to adapt and work effectively as members of a team.

-Good command of written and spoken language.

-Resourceful and self-driven with a high degree of professional integrity.

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.

Responsibilities:

• Conduct cutting-edge research and development in speech/audio foundation models.
• Research, design, develop, and evaluate generative models.
• Conduct research to integrate Large Language Modeling into speech and audio generation (Neural Tokenizers, Large Language Modeling, etc.).
• Identify key research areas and contribute to innovative speech/audio models.
• Design and curate large-scale, high-quality datasets with multi-team efforts.

Qualifications:

• Major in computer science, mathematics, engineering, a related field, or equivalent professional experience.
• 2+ years of internship or full-time experience in one or more areas of machine learning and deep learning, including but not limited to:Speech/Vocal generation (including text-to-speech, singing-voice-synthesis, prosody transfer, etc.)
  Audio generation (including text-to-music, etc.)
  Large scale speech/audio self-supervised representation learning and foundation models
  Large Language Model pre-training and fine-tuning
• Deep knowledge of deep learning and generative models (Diffusion, Flow Matching, AR Transformer, Mamba, VAE, GAN, etc.).
• Self-driven, innovative, collaborative, with strong communication and presentation skills.

Preferred Qualifications:

• Ability to work collaboratively in fast-paced, startup environment.
• Strong publications in top-tier ML/Speech conferences/journals (e.g., NeurIPS, ICML, ICLR, ICASSP, INTERSPEECH).
• Deep understanding of Large Language Models.
• Familiarity with different variants of diffusion models, such as Flow matching, DDIM, etc.
• Familiarity with large-scale distributed training.
• Knowledge of engineering principles and best practices.
• High proficiency in algorithms and programming; strong coding skills in Python.

The duties of a store manager or retail manager include12345:

• Recruiting, training, supervising and appraising staff
• Managing budgets
• Maintaining statistical and financial records
• Dealing with customer queries and complaints
• Overseeing pricing and stock control
• Maximising profitability and setting/meeting sales targets, including motivating staff to do so
• Ensuring compliance with health and safety legislation

We are looking for a motivated bioinformatics specialist who is keen on studying how microbes contribute to common skin diseases such as eczema and acne. Our lab is focused on leveraging new technologies to better study microbial populations and their impact on human health. We have extensive experience in metagenomic analysis in clinically or commercially important contexts such as uncovering distinct microbial communities in households affected by paediatric eczema (PMID: 35318044) and revealing the microbial basis of body odour in teenagers (PMID: 30497517). We are now focusing on applying various -omics capabilities to larger sized disease cohorts to understand how microbial pathways and biomarkers change with disease progression and treatment. 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. Project findings will have direct applications to ongoing and new microbiome research projects in the lab, particularly in 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:

• Bachelors degree in Computational Biology, Computer Science, Data Science, or a related field.
• Strong analytical and programming skills (Python, R, UNIX environment etc).
• Familiarity with Bioinformatics tools for RNA seq analysis and pipeline building will be useful.
• Interest in exploring biological questions and some course work in statistics is preferable.

How To Apply: Please e-mail your curriculum vitae and contact details of referees to Niranjan Nagarajan ([email protected]) and Minghao Chia ([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.