The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The School plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The School’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

The School of Civil and Environmental Engineering (CEE) is inviting applications for the position of Research Fellow.

Key Responsibilities:

• Conduct research on the production of self-healing cement additive and its applications.

Job Requirements:

• PhD in Engineering, Material Science or Chemistry.

• Strong academic standing with several publications in reputable journals.

• Good English speaking and writing skills.

• Strong references from previous supervisors.

• Previous experience in chemical synthesis and analysis, concrete sample preparation, mechanical testing and microstructural characterization (XRD, TGA, FTIR and SEM-EDX).

• Additional experience in UHPC and carbon-based material in concrete would be preferable, but not required.

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 processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

We are currently accepting applications for the position of a Research Fellow to join our team and contribute to our research in advanced back-end-of-line (BEOL) transistor and memory development. As a Research Fellow, you will optimize high-mobility oxide-based semiconductor materials for BEOL applications, design integration processes for semiconductor-ferroelectric materials, and perform electrical characterization. This position offers an exciting opportunity to work with a team of researchers and engineers on cutting-edge technologies.

Responsibilities:

1. Develop high-performance metal-oxide-semiconductor and ferroelectric materials.
2. Design integration processes for these materials in BEOL advanced technologies.
3. Conduct fundamental research on the integration of metal-oxide-semiconductor and ferroelectric materials.
4. Design and fabricate BEOL electronics elements for advanced electronic-photonic devices.
5. Perform electrical and optical characterization of devices using professional measurement techniques.
6. Utilize device physics to analyze devices in-depth.
7. Collaborate with team members and external partners to address research challenges and propose innovative solutions.

Qualifications

Candidate should meet at least 4 criteria from the following list:
• PhD Degree in Electrical and Computer Engineering or a related field.
• Extensive experience and expertise in working with oxide semiconductors and ferroelectric materials.
• Proficient in advanced electrical characterization techniques and semiconductor device physics.
• Demonstrated hands-on experience with process integration in cleanroom environments.
• Exceptional analytical skills, with a proven ability to solve complex problems.
• Excellent written and verbal communication skills to effectively communicate research findings.
• Strong team player, capable of collaborating effectively within a research-oriented environment.

Responsibilities:

1. Contribute to high-quality research and development work in TCOMS laboratory through:

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

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

· leading a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

· design of embedded sensors to enhance the measurement of models' behaviour and response.

· document design processes, methodologies, and results.

· engagement with external vendors for component sourcing and additional modification work that are beyond the present capabilities of TCOMS laboratory.

2. Perform research in the following areas:

· Offshore hydrodynamics

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

· Fluid-structure interactions

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

Requirements:

Qualification & Field of Study:

· Bachelor's degree in following or related disciplines:

o Mechanical Engineering, Mechatronics,

o Ocean Engineering, Marine Engineering, Offshore Engineering,

o Electrical Engineering, Computer Engineering / Science

o Offshore/Civil/Structural Engineering, Applied Mathematics

Experience:

· 2 to 3 years of relevant work experience in the following areas:

o Mechanical design.

o Naval Architecture, ocean engineering, marine engineering, hydrodynamics, and systems engineering.

o Project management/productivity software/tools such as MS Office, MS Project.

o Marine structures, offshore structural engineering.

· Proficient with 3D modelling tools such as SolidWorks and AutoCAD.

· Prior experience / knowledge in one or more of the following software /programming languages will be preferred:

o SolidWorks, Rhino, and AutoCAD,

o WAMIT, OrcaFlex, SESAM Suite or equivalent,

o Finite Element analysis tools such as SESAM, ABAQUS, Ansys

· StarCCM+, OpenFOAM,

· Matlab, Fortran, Python and/or C++

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

Other Requirements:

· Good interpersonal and communications skills.

· Good organization and interface management skills.

· Ability to adapt and work effectively as team player.

· 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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The research assistant will work at the intersection of quantum algorithms, optimization, and finance. Sample topics include quantum algorithms for financial problems such as portfolio optimization, pricing of financial derivatives, and hedging. The job will include the development of quantum algorithms in these areas, with provable quantum advantages and provable guarantees, when possible, in fault-tolerant models of quantum computation. The job will also include the development of algorithms that are easier to execute on available hardware such as variational and post-variational methods and quantum approximate optimization.

Qualifications

• Track-record working on quantum algorithms and/or quantum information.

• PhD in computer science, electrical engineering, physics, or applied mathematics.

• Well-rounded research profile and ability to communicate research.

Nanyang Business School is a leading research-powered business school focusing on business education in a technology-driven world. Being part of the business school, the NBS Research & PhD Office provides research administration and support to promote research activities for the school effectively and efficiently.

The incumbent will be responsible to provide research administration for our researchers, support and facilitate research-related activities and reporting. The role will also be working closely with both our internal and external stakeholders in establishing research partnership and visibility of the school.

Key responsibilities:

• Provide research administration support to research activities and grants.
• Support research programme (PhD) and activities/events.
• Assist in procurement request and claims verification under office budgets.
• Manage and maintain research-related documentation, database, and systems.
• Assist in ad-hoc admin/research initiative of the office.

Requirements:

• At least a Diploma qualification, preferably with some experience in research grant administration or its equivalent.
• Good organisational, time management and planning skill to be able to multitask and work within tight deadlines.
• An independent worker as well as a team player with positive working attitude and work ethics.
• Excellent interpersonal skills and willing to work collaboratively.
• Proficient in MS Office Application and preferably tech savvy.

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The School plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The School’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

The School of Civil and Environmental Engineering (CEE) is inviting applications for the position of Research Associate.

Key Responsibilities:

• Conduct research on thermoelectric properties of inorganic-based alkali-activated materials (AAMs) and its potential for thermal energy harvesting.

Job Requirements:

• Master in Engineering, Material Science or Chemistry.

• Strong academic standing with several publications in reputable journals.

• Good English speaking and writing skills.

• Strong references from previous supervisors.

• Previous experience in chemical synthesis and analysis, concrete sample preparation, mechanical testing and microstructural characterization (XRD, TGA, FTIR and SEM-EDX).

• Additional experience in pavement engineering and SHCC would be preferable, but not required.

We regret that only shortlisted candidates will be notified.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Conduct material and field research and verify facts before scripting for production.
• Provide advice to producers based on the facts/data gathered.
• Build script draft and sequence for content flow and eventually write good quality Chinese scripts for programme.
• Brainstorm interesting programme concepts and do presentation at pitch sessions.
• Source for talent and assess suitability of role based on requirement of programme.
• Source for location and assess for suitability and cost.

• Minimum a degree in education with 2 years of working experience.
• Passionate about the entertainment industry.
• A strong communicator and has a flair for writing.
• Possess good research skills.
• Good command of Chinese language - both written and spoken as you will be attached to the Chinese Entertainment production.
• Effectively bilingual in Mandarin and English to communicate with various departments and organisations.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of English, Linguistics and Theatre Studies at Faculty of Arts and Social Sciences, National University of Singapore (NUS) is recruiting ONE Research Fellow to work on a Social Science and Humanities Research (SSHR) Fellowship project, “Archipelagic Mappings and Performance Routes, Routers, and Networks (1840–1940),” directed by the Principal Investigator (PI), Assistant Professor Alvin Eng Hui Lim. The position will be based in Singapore with an intended start date of August 2024 for a period of two years.

The SSHR Fellowship-funded project seeks to study early waves of interculturalism and performance-making during the colonial period and identify obvious gaps in research on the theatrical networks and performance routes of the nineteenth century to early twentieth century. The project will theorise and document the circulation and travels of theatre, dance, and performance against the backdrop of colonial expansion, territorialisation, cultural diplomacy, trade, and technological development between 1840 to 1940. By situating Singapore as a significant node, the study will trace the networks that existed between urban centres, port cities, and the sea routes (namely, along the Malacca and Singapore Straits and diverging across Australia, Hong Kong and the Southern provinces of China, to name a few) that performance practices and performers travelled on as they embarked and disembarked, evolved, or took root across places in the region. These networks will be visualised and narrated through storymaps and digital scholarship, ensuring that the histories of individual traditions are not told in isolation but interwoven into a connected history of performance-making in the region.

The successful applicant will be offered a contract of 24 months from the date of hire. S/he will receive an attractive monthly remuneration depending on experience and qualifications. S/he will be considered a full-time staff member of the National University of Singapore, applicable for staff benefits such as medical coverage, a fixed amount in a flexible spending account for health-related expenses, vacation leave, corporate discounts, and staff concession rates for part-time government subsidized graduate programmes offered by NUS. The position will be based in Singapore, although some research travel may be permitted. Singapore citizens and permanent residents are eligible for Central Provident Fund benefits.

Scope and responsibilities

The Research Fellow (Digital Humanities) will work with the Principal Investigator (PI) to:

• Collect, process, manage, and analyse data from archives and historical collections. Such data may include information from archival documents, books, travelogues, photography, maps, old newspapers, and journals.
• Support PI in designing and maintaining a performance database, a searchable resource accessible to the public.
• Use digital research methods and Geographic Information System (GIS) methods to produce story maps and visualise historical information.
• Support in editing and proofreading documents and manuscripts.
• Design and prepare presentation materials for meetings, conferences, etc.
• Contribute to papers, book chapters, research reports, etc.
• Provide logistical and administrative support for an international workshop.
• Ad hoc logistical, administrative, and research tasks.

Qualifications

Applicants should:

• Have at least a PhD in Geographic Information System (GIS), Digital Humanities or equivalent. Fresh graduates are welcome to apply.
• Specific skills in GIS, database design and programming (Python, JavaScript, SQL) will be appreciated.

Competencies

• Skills in spatial network analysis
• Excellent writing and strong communication skills in English, including an ability to present research in both academic and non-academic venues
• Meticulous and has good project management skills
• Curiosity and passion to explore new concepts, methodologies and technologies
• Capable of identifying and learning quickly the most suitable tools for the research
• Research experience in digital humanities, historical research, and/or digital archiving
• Good team player and ability to multitask effectively

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Centre on Environmetnal Life Science Engineering (SCELSE), a Research Centre of Excellence, National University of Singapore, is looking for a Research Assistant for the project on biofilms in urban waterways. We seek a highly motivated and organized applicant with a background in life sciences and/or molecular biology, and preferably with experience working with environmental microbiomes. The position is within a multi-disciplinary research team which broadly pursues microbial diversity and physiological investigations in urban waterways. The full-time Research Assistant will be expected to participate in ongoing research projects and oversee daily operation of the lab and procurement for the team. Projects in the lab utilize the following techniques: field water and sediment sampling, next-generation sequencing and genotyping, microscopy, flow cytometry, advanced computations and cell sorting and metabolomics, analytical instruments such as Inductively coupled plasma – mass spectrometry (ICP-MS) and Ion Chromatography (IC). A component of the job will also include assisting and conducting field work from locations around Singapore.

Requirement & Qualifications

The ideal applicant should have a degree in life sciences, environmental sciences or related field, specialization either in soil sciences and/or microbiology preferably including -omics approaches. Experience with analytical instruments, PCR, cloning and other nucleic acid or metabolites manipulation is desirable.

Responsibilities will include active participation in research projects, ordering and maintaining equipment and supplies,

Basic Microsoft skills in Word, Excel, Powerpoint, Ability to use statistical software (such as R and Python) will be an advantage.

Assist in project related administration (e.g. budgeting, claims, reports) and operations to facilitate smooth conduct of research work.

Possess strong organizational skills and communication skills, both written and oral.

Ability to work well with others in a collaborative team environment.

Assist in data analysis, preparing figures, tables and reports.

The Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, an initiative funded by Schmidt Futures aims to accelerate the next scientific revolution by applying AI to research in science, technology, engineering, and mathematics (STEM). This Fellowship provides an opportunity for early career researchers from Singapore and around the world to pursue an independent research path. This programme will provide access to AI tools and training to the Fellows to develop and use AI in innovative methods to make the world better.

This work will be conducted at the School of Physical and Mathematical Sciences, Nanyang Technological University.

Key Responsibilities:

• Carry out investigations in critical fields of quantum machine learning, quantum information and quantum computation.

• Discuss work with colleagues and give presentations about the work, prepare papers and submit papers about the work, and advise other colleagues and juniors about AI in science.

• Conduct theoretical analysis on the fields, which includes reading scientific articles, developing computer programs, and composing scientific papers.

Job Requirements:

• PhD degree in theoretical quantum information, quantum computation, quantum machine learning or related field.

• Experience in utilizing machine learning techniques for research in quantum information and quantum computing.

• Proficiency in programming, for example, with Python, PyTorch, Qiskit, or similar software.

• English writing abilities for composing scientific papers, proposals, and reports.

• Effective communication skills for presenting scientific findings and fostering collaborations with international experts. 

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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Natural Sciences and Science Education Academic Group.

Project Title: Optimization of Optoelectronic Sensors for Object Tracking

Project Introduction: We are looking for a research assistant for the development and optimization of electrochemical optoelectronic sensors for applications in object recognition and object tracking.

Requirements:

The candidate should have a Bachelor’s degree or higher in one of the following: physics, chemistry, materials science, or electrical engineering. The candidate should be motivated and reliably show up at work physically to perform experiments in the laboratories during working hours. The candidate should have some prior experience in working in a chemistry laboratory and know how to handle basic chemicals.

Responsibilities:

The candidate will fabricate optoelectronic sensors including glass cleaning, glass cutting, and hole drilling. Furthermore, the candidate will perform basic chemistry such as preparing electrolytes and dye solutions, carry out electric characterizations of the sensors, analyze the measured data, take care of laboratory consumables inventory, as well as write reports/publications.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims at studying various threats in software defined networks (SDN) and developing security solutions for detecting anomalies and mitigation. The Research Fellow (RF) will be responsible to develop techniques such as AI/machine learning/deep learning, to model the normal behaviours and detect anomalies in SDN. The RF will also explore approaches for detecting and mitigating attacks. The work involves experimentation with a testbed and proof-of-concept demonstrations for use-cases. The work and findings will lead to top-tier publications, invention disclosures and proof-of-concept demonstrations.

Qualifications

• A PhD in Computer Engineering /Electrical Engineering /Computer Science and related disciplines, with knowledge and experience in one or more areas - network security, software defined networking, AI /machine learning /deep learning.
• Strong research record with independent research and development capability.
• Software skill for testbed Experimentation and proof-of-concept demonstrations.
• Open to Fixed Term Contract

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Vincent Tan on online decision making under a project on “Fundamental Limits for Statistical Learning”.

The main responsibilities of the position include:

(i) To perform excellent research with Prof. Vincent Tan and his team of students and research fellows, leading to publications in top venues in machine learning;

(ii) To teach one class in the Mathematics department per year.

Qualifications

• Qualifications / Discipline: Ph.D. in Applied Mathematics or Computer Science

• Skills: Mathematical Optimization and Machine Learning

• Experience: 4 years of doing research in mathematical optimization and machine learning with relevant publications in top venues.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of English, Linguistics and Theatre Studies at Faculty of Arts and Social Sciences, National University of Singapore (NUS) is recruiting ONE Research Fellow to work on a Social Science and Humanities Research (SSHR) Fellowship project, “Archipelagic Mappings and Performance Routes, Routers, and Networks (1840–1940),” directed by the Principal Investigator (PI), Assistant Professor Alvin Eng Hui Lim. The position will be based in Singapore with an intended start date of August 2024 for a period of two years.

The SSHR Fellowship-funded project seeks to study early waves of interculturalism and performance-making during the colonial period and identify obvious gaps in research on the theatrical networks and performance routes of the nineteenth century to early twentieth century. The project will theorise and document the circulation and travels of theatre, dance, and performance against the backdrop of colonial expansion, territorialisation, cultural diplomacy, trade, and technological development between 1840 to 1940. By situating Singapore as a significant node, the study will trace the networks that existed between urban centres, port cities, and the sea routes (namely, along the Malacca and Singapore Straits and diverging across Australia, Hong Kong and the Southern provinces of China, to name a few) that performance practices and performers travelled on as they embarked and disembarked, evolved, or took root across places in the region. These networks will be visualised and narrated through storymaps and digital scholarship, ensuring that the histories of individual traditions are not told in isolation but interwoven into a connected history of performance-making in the region.

The successful applicant will be offered a contract of 24 months from the date of hire. S/he will receive an attractive monthly remuneration depending on experience and qualifications. S/he will be considered a full-time staff member of the National University of Singapore, applicable for staff benefits such as medical coverage, a fixed amount in a flexible spending account for health-related expenses, vacation leave, corporate discounts, and staff concession rates for part-time government subsidized graduate programmes offered by NUS. The position will be based in Singapore, although some research travel may be permitted. Singapore citizens and permanent residents are eligible for Central Provident Fund benefits.

Scope and responsibilities

The Research Fellow (Theatre and Performance) will work with the Principal Investigator (PI) to:

• Collect, process, manage, and analyse data from archives and historical collections. Such data may include information from archival documents, books, travelogues, photography, maps, old newspapers, and journals.
• Support PI in designing and maintaining a performance database, a searchable resource accessible to the public.
• Use digital research methods to produce story maps and narrate performance histories.
• Support in editing and proofreading documents and manuscripts.
• Design and prepare presentation materials for meetings, conferences, etc.
• Contribute to papers, book chapters, research reports, etc.
• Provide logistical and administrative support for an international workshop
• Ad hoc logistical, administrative, and research tasks.

Qualifications

Applicants should:

• Have at least a PhD in Theatre Studies, History, Performance Studies, Asian Studies or equivalent. Fresh graduates are welcome to apply.
• Experience in conducting historical research.
• Multilingual ability to read and write in any of the following languages will also be highly advantageous: Traditional Mandarin Chinese, Bahasa Melayu, or Tamil.

Competencies

• Excellent writing and strong communication skills in English, including an ability to present research in both academic and non-academic venues
• Meticulous and has good project management skills
• Curiosity and passion to explore new concepts, methodologies and technologies
• Capable of identifying and learning quickly the most suitable tools for the research
• Research experience in historical research, digital archiving, and/or Asian performance research
• Good team player and ability to multitask effectively

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.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop/produce/investigate the development of a Meta Executable Operational Semantics for Efficient Smart Contract Verification, characterizing the features of existing programming languages for smart contracts.

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.
• Undertake these responsibilities in the project:
  1. Analysis of existing smart contracts programming languages and extraction of their features.
  2. Development of a meta-semantics able to capture those features presents in smart contracts programming languages and to represent smart contracts written in them.
  3. Formalization of a semantics for the Solidity programming language for smart contracts using the meta-semantics developed in ii.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Have relevant competence in the areas of Programming Languages, Languages Semantics, and Logic.
• Have a PhD degree in Computer Science or elated areas.
• Knowledge of Theorem Proving will be advantageous

General Overview

The Operations Research Analyst will be responsible for applying advanced analytical and mathematical methods to optimize LNG throughput operations within our business group. The successful candidate will work closely with cross-functional teams to develop and implement models, algorithms, and decision support tools to improve efficiency, minimize costs, and enhance overall business performance.

Roles and Responsibilities

• Conduct comprehensive analysis of LNG throughput processes and identify areas for optimization and improvement.
• Develop mathematical models, algorithms, and simulations to solve complex business operational problems related to LNG storage optimisation, scheduling, and slots allocation.
• Collaborate with engineering, logistics, and commercial teams to gather relevant data and insights for modeling and analysis.
• Utilize optimization techniques such as linear programming, integer programming, mixed-integer programming, simulation, and stochastic optimization to improve decision-making processes.
• Design and implement decision support systems to assist operational teams in making real-time decisions related to LNG throughput.
• Analyze operational data and performance metrics to assess the effectiveness of implemented solutions and identify further optimization opportunities.
• Communicate findings and recommendations to stakeholders through clear and concise presentations, reports, and visualizations.
• Stay abreast of LNG industry trends, emerging technologies, and best practices in operations research and apply relevant advancements to enhance LNG throughput operations.
• Collaborate with external partners, consultants, and research institutions to leverage expertise and resources for solving complex operational challenges.

Work Experiences

• Minimum of 5 years of experience in applying operations research techniques to solve real-world problems, preferably in the energy or LNG industry.
• Proficiency in mathematical modeling, optimization algorithms, and simulation tools such as MATLAB, Python (NumPy, SciPy), or R or GAMs.
• Strong analytical skills with the ability to translate complex data into actionable insights and recommendations.
• Experience with software tools for optimization (e.g., Gurobi, CPLEX) and simulation (e.g., Arena, Simio) is highly desirable.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present technical information to non-technical stakeholders.
• Demonstrated ability to manage multiple projects simultaneously and deliver results within tight deadlines.
• Knowledge of LNG operations, supply chain management, and energy market dynamics is a plus.

Education Requirements

• Degree in Operations Research, Industrial Engineering, Applied Mathematics, or a related field from a reputable university.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant (The Institute for Environment & Sustainability (IES) @ the Lee Kuan Yew School of Public Policy, National University of Singapore)

IES is looking for proactive and enthusiastic candidates for full-time research assistants to be part of our growing team focused on building climate and sustainability policy design, policy dialogues, and transition pathways in Singapore, Southeast Asia, Asia, as well as within transnational and global governance initiatives.

Research assistants will engage not only in research projects but also in our ongoing efforts to further develop the Institute including carrying out seminars, workshops, and policy dialogues.

The job scope includes:
· Assisting in events management for the Institute
· Supporting the PIs with research /project administration within the Institute
· Supporting ongoing applied research projects on water policy/governance conducted in the Institute, including:
o The conduct of literature reviews
o Design, preparation and execution of research studies
o Analysing research data (qualitative / quantitative) and packaging them into sections of a report
o Manuscript preparation for publication/reports

Job Requirements

Requirements:
· Able to start soon
· Have a Bachelor’s or Master’s degree in economics or another social science discipline, with shown interest in water and/or environmental issues
· Demonstrated rigour in literature review and report writing
· Demonstrated research skills in conducting quantitative and/or qualitative analysis
· Demonstrated experience in project/research administration and management
· Able to commit to meeting timelines/work milestones and able to multi-task
· Live and be allowed to work in Singapore

The contract is renewable for 1 year after 3 months of probational period.

The Institute for Environment & Sustainability (IES) @ the Lee Kuan Yew School of Public Policy, National University of Singapore is a university-based think tank devoted to helping advance fit-for-purpose policy solutions for Southeast Asia’s most pressing environmental and sustainability challenges.

Our aim is to aid governments and private sectors close the gap between sustainability commitments and actual outcomes by informing and equipping policymakers with the latest innovative thinking. We empower agents of change to identify, design, and trigger effective policy pathways by generating Original Research, Stakeholder Dialogue, and Capacity Building.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Ren Weiqing on online decision making under a project on “Fundamental Limits for Statistical Learning”.

The main responsibilities of the position include:

(i) To perform excellent research with Prof. Ren Weiqing and his team of students and research fellows, leading to publications in top venues on numerical methods for multi-phase flows on elastic substrates and related contact line dynamics;

(ii) To teach one class in the Mathematics department per year.

Qualifications

• Qualifications / Discipline: Ph.D. in Applied Mathematics or Computer Science

• Skills: Computational mathematics with a focus on numerical methods for partial differential equations

• Experience: 4 years of doing research on strain gradient elasticity problem, numerical homogenization of singular perturbations in elasticity and performed numerical analysis for heterogeneous multiscale methods

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.

JOB DESCRIPTION

We are seeking to recruit a highly motivated Research Fellow to investigate the rules in cancer antigen discovery, towards therapeutic and preventive therapy. Project involves mass spectrometry, immunology and computation. Initial contract of 2 years, extendable for another 2 years subject to positive performance.

JOB REQUIREMENT

• Ph.D. in Immunology or Cell Biology or Biochemistry or Mass Spectrometry
• Expertise in T-cell engineer highly preferred
• Interested in data and computation
• Solid publication record and strong scientific writing skills
• Strong motivation and energy to lead project
• Good organisational, verbal and interpersonal skills
• Need to be a team player

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

Your application will be processes 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 Prof. Sun Rongfeng on online decision making under a project on “Fundamental Limits for Statistical Learning”.

The main responsibilities of the position include:

(i) To perform excellent research with Prof. Sun Rongfeng and his team of students and research fellows, leading to publications in top venues on probability theory, in particular in random graphs;

(ii) To teach one class in the Mathematics department per year.

Qualifications

• Qualifications / Discipline: Ph.D. in Mathematics (Probability Theory)

• Skills: Strong research in probability theory, and in particular, in random graphs.

• Experience: 4 years of doing research on probability theory and random graphs

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Fellow under the Chronic Illness and Long-term Care Research Programme in the Alice Lee Centre for Nursing Studies (ALCNS), National University of Singapore. The vision of ALCNS is Inspiring Health for All and our mission is to nurture nurses to advocate health for all through pursuing excellence in nursing education, developing innovative researchers, and serving with compassion and humility. There are five research programmes in the school, more information about the school is available at https://medicine.nus.edu.sg/nursing/. Appointments will be made on a 1-2 years contract basis, with the possibility of an extension.

Purpose of the post

The Research Fellow (RF) will work closely with the Programme Chair and Core team members to engage in thorough research, generate impactful papers for publication in top-tier academic journals; and successfully obtain competitive funding for the research programme.

Main Duties and Responsibilities

The Research Fellow will be able to:

1. conduct independent and collaborative research in the field of chronic illness, under the supervision of senior faculty mentors;
2. develop and implement research projects, including study design, data collection, analysis, and interpretation;
3. publish research findings in high impact peer-reviewed journals and present at academic conferences and seminars;
4. contribute to the development of grant proposals to secure funding for research projects;
5. assist in the supervision and mentorship of honor and graduate students involved in research activities;
6. contribute to the dissemination of research findings to the broader community through outreach activities, including public lectures or community engagement initiatives;
7. participate in departmental meetings, research seminars, and other academic activities to contribute to the scholarly environment of ALCNS.

Qualifications

The applicant should have:

1. a doctoral degree (Ph.D. or equivalent) in Nursing or a related field from an accredited institution;
2. a strong background and expertise in nursing research, with main focus on chronic diseases (e.g. coronary heart disease, hypertension, diabetes, etc.);
3. a track record of scholarly productivity, including publications in reputable peer-reviewed journals;
4. experience in quantitative and qualitative research methodologies;
5. ability to work independently as well as collaboratively within a multidisciplinary team environment;
6. excellent written and verbal communication skills;
7. prior experience in grant writing (securing external funding is an advantage).

Application

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job 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 processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Department of the Built Environment at the National University of Singapore hosts the Centre for 5G Digital Building Technology (5GDBT), which focuses on several key research areas. These include:

1. Smart Facilities Management (FM) through Digital Twin (DT) technology.
2. Integration of Robotics and Internet of Things (IoT) sensors.
3. Exploration of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (XR).
4. Advancements in 5G Network Technology.
5. Implementation of a Common Data Environment for the integration of Smart Technologies.

The primary objective of the Centre for 5GDBT is to play a pivotal role in Singapore's digital research transformation, aligning with the nation's goal of achieving nationwide 5G coverage by 2025. The Centre for 5GDBT aspires to become a leading hub for digital building technology, focusing on impactful research, comprehensive education, and the adoption of best practices. Its strategy involves leveraging 5G connectivity, cloud-based DT technology, and robotics for applications in Smart FM and the Built Environment (BE) industry. Ultimately, the Centre seeks to revolutionise the design, delivery, and management of Singapore's BE.

The Centre for 5GDBT is in search of a Research Fellow (RF) with a proven ability to lead and execute research projects independently. The role requires a strong foundation in managing research projects and a deep understanding of smart technologies within the Built Environment (BE) industry, specifically in the Facilities Management (FM) domain. This encompasses expertise in technological competencies and smart technologies such as robotics (e.g., cleaning robots, concierge robots) and IoT devices.

The RF will be tasked with not only the technical aspects of research projects but also administrative and managerial responsibilities associated with them. Additionally, they will play a crucial role in supporting PhD students by offering academic and research guidance, collaborating closely with the Principal Investigator (PI), Dr Shah. Ideal candidates should bring substantial research experience in relevant fields, possess robust data analysis skills, and demonstrate proficiency in programming.

The selected candidate will engage in both academic development and hands-on fieldwork, collaborating with fellow research staff and students. This will be carried out under the guidance and supervision of the Principal Investigator (PI).

Job Requirements

• Hold or be in the process of obtaining a Ph.D. (i.e. is in the final stages of PhD studies meaning submitted thesis or pending oral defence) in a relevant field, such as Computer Science, Building Science, or related disciplines.
• Demonstrate a proven track record in effectively managing and actively participating in advanced theoretical and computational research projects.
• Able to develop robotic use-cases for Smart Buildings and Smart Facilities Management
• Working with integration of Digital Twins with Robotics and IoT sensors
• Possess strong programming skills, with specific knowledge or experience in the areas listed below:
  • Digital Twin
  • Robots = Message Queuing Telemetry Transport (MQTT), Robot Operating System (ROS) 1 & 2, Python, Java, C++
  • Cameras = Localised LAN Server, Video Management Server (VMS), Streaming RTMP
  • Display = Remote PC Display
  • Experience in API, APKs, SDKs, UI/UX
  • Experience in Artificial Intelligence (AI), ChatGPT, Video Analytics
  • Developer:
  (1) AI detection models for Andriod
  (2) Video Analytics (MobileNet, TensorflowLite, Kotlin)
  (3) Andriod Apps Developer
  (4) Live Streaming Andriod Apps
  (5) Live Broadcasting Andriod Apps
  (6) Backend Video Server Developer
• Skills listed below would be strongly preferred:
  • Video Analytics Detection Models
  • Large Language Models (LLM)
  • Artificial Neural Networks
• Working with integration of Digital Twins with Robotics and IoT sensors, Generative AI, Smart Cameras, Drones
• Exhibit exceptional communication skills, both written and verbal, and demonstrate proficiency in team management. The candidate should also showcase independent problem-solving abilities.
• Fluency in oral and written English is essential to effectively collaborate and communicate within a diverse research environment.
• Experience in writing proposals and paper publications
• Ability to contribute to and lead the development of academic papers for publication in reputable and high-impact journals, reflecting a commitment to scholarly excellence.
• Proven capability to mentor and guide research staff and students, fostering a collaborative and innovative research culture.
• Display a keen interest in staying abreast of emerging technologies and methodologies within the specified research areas, continuously contributing to the intellectual advancement of the team.
• Previous experience in securing research funding, collaborating with industry partners, and participating in interdisciplinary research initiatives would be considered advantageous.

Job Description

A Postdoctoral Genomics Scientist position is available immediately at the IMCB Cell Fate and Therapeutics Laboratory. The lab is interested in understanding cell fate determination, singleanalytics and developing novel tools and strategies to derive desired cell types for therapeutic applications.

Applicants with a strong background in next-generation sequencing, singlecell genomics and spatial analysis are invited to apply. Successful candidates must be highly motivated, have a passion for research and be able to work in an interdisciplinary environment.

Job Requirements:

• Ph.D. with a strong research background in singlecell genomics and spatial analysis
• Knowledge of biostatistics highly desirable
• Excellent analytical, technical and problem-solving skills
• Self-starter who is comfortable working in a fast-moving interdisciplinary team
• Strong publication record in peer-reviewed journals
• Committed and able to work flexible hours
• Excellent communication, technical writing and presentation skills