Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to ensure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

- Looking for a reliable, agile, and professional individual.

- Able to understand, look ahead, plans the production schedules etc, and provide day to day supports in materials / spare parts procurement, inventory and logistics management to ensure smooth Fab operations.

- Initiate, lead and provide day to day supports in all logistics needs and initiate material/spare parts procurements when required to ensure smooth Fab operations.

- Follow through all the orders initiated from the start of purchase till delivery. Ensure the orders are delivered are on time.

- Accountable for the inventories required to enable smooth FAB cleanroom operations.

- Work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.

- Employ critical thinking and put-up good initiatives to move forward towards systematic inventory digitalization.

- Ability to work in a multi-task environment.

Experience:

- Education: Diploma/Degree in engineering or supply chain discipline.

- Process strong customer service mind-set with excellent interpersonal and communication skills.

- Preferably some knowledge of supply chain analytics, experiences in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.

- Fresh graduate can be considered as well.

Job Description:

Be part of an exciting FAB Team working on cutting-edge advanced packaging process technologies. Partner and work with various teams in IME, to be the lead in FAB inventory management, logistic planning, and its related operations to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to ensure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

- Looking for a reliable, agile, and professional individual.

- Able to understand, look ahead, plans the production schedules etc, and provide day to day supports in materials / spare parts procurement, inventory and logistics management to ensure smooth Fab operations.

- Initiate, lead and provide day to day supports in all logistics needs and initiate material/spare parts procurements when required to ensure smooth Fab operations.

- Follow through all the orders initiated from the start of purchase till delivery. Ensure the orders are delivered are on time.

- Accountable for the inventories required to enable smooth FAB cleanroom operations.

- Work seamlessly with various stakeholders to ensure inventory adequacy and logistics efficiencies.

- Employ critical thinking and put-up good initiatives to move forward towards systematic inventory digitalization.

- Ability to work in a multi-task environment.

Experience:

- Education: Diploma/Degree in engineering or supply chain discipline.

- Process strong customer service mind-set with excellent interpersonal and communication skills.

- Preferably some knowledge of supply chain analytics, experiences in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.

- Fresh graduate can be considered as well.

We are looking for a self-motivated candidate with expertise in high performance digital design and system level architecture modeling to join our Heterogeneous System design team. This candidate will work closely with IME’s advanced packing team and contribute to the exploration, optimization and development of multicore & multi-chip system using IME’s heterogeneous integration platform.

Job Description:

· Digital IC Design and system-level exploration:

o Lead and contribute to the design and development of digital integrated circuits, ensuring they meet performance and functionality requirements.

o <!-Emphasize a system-level perspective in the design process, considering overall system architecture and functionality.

o Apply a deep understanding of cryogenic temperature effects on digital ICs and implement design strategies for optimal performance in low-temperature environments.

o Incorporate Edge AI principles into digital IC designs, enabling efficient and intelligent processing at the edge of the network.

o RTL implementation for custom circuit design using Verilog/SystemVerilog

o Derive specs and implement necessary customized and highly efficient building blocks such as systolic array, data path controller, scheduler, integer and floating-point processing engine, FFT, etc which are frequency used in various computing architecture such as in-memory computing, deep learning and neuromorphic computing.

· Simulation, Verification, and Implementation:

o Conduct thorough simulation and verification of digital designs to validate functionality and performance.

o Utilize FPGA in digital IC designs, leveraging its flexibility and reconfigurability for system emulation and architecture exploration

o Perform timing analysis and collaborate with the team to optimize designs for timing closure.

o Contribute to power analysis activities and implement power-efficient design techniques.

Publish research works in prestigious conferences and Journals such as ISSCC, VLSI Symp, A-SSCC, DAC, JSSC and TCAS-I/II.

· Collaborate closely with cross-functional teams, including hardware and software engineers, to seamlessly integrate digital ICs into the overall system architecture.

· Prepare detailed design documentation, including specifications, test plans, and reports.

· Troubleshoot and debug digital IC designs with a focus on identifying and addressing system-level issues.

· Bring creative and innovative solutions to design challenges, staying abreast of industry trends and emerging technologies.

Requirements: Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. The candidate should have prior experiences in IC tape-out of digital/mixed signal SoC and system level modelling and optimization using industry standard tools from leading EDA vendors such as Cadence, Synopsis and Matlab.

As part of IME’s Photonics & Sensors Department, the candidate will take lead of the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices at high RF frequencies, as well as the testing of electro-optical sub-modules and sub-systems. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices from frequency range of 0 to 110 GHz
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Manage photonics laboratory including facilities, health and safety, equipment calibration, inventory and stocktake
• Take the lead to procure laboratory equipment and consumables
• Prepare technical presentations and papers for internal meetings, as well as conferences and journals
• Collaborate with project team to ensure quality and on-time delivery for various projects
• Performs other duties as assigned.

Qualifications:

• Bachelor’s or master’s degree in Physics, Electronic/Electrical Engineering, Photonics, Opto-electronics or equivalent
• More than 3 years hands-on experience in active photonics/optoelectronic device testing, especially for high-speed optical modulator and photodetector devices and electronic-photonic integrated circuit.
• More than 3 years hands-on experiences in optical setup construction and semiconductor & optoelectronic device characterization
• Experienced on experimental data acquisition and analysis
• Skillsets in programming or instrument automation is a plus
• Strong skills in problem-solving, communication and providing technical presentations
• Industry experience and awareness is a plus

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

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

· Recipe creation and optimisation for new R&D applications requirement.
- Preventive and corrective maintenance planning cum execution and vendor management.

· To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up

· Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).

· To set-up appropriate process and product control plan and out of control action plans (OCAP)

· Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirement:

· Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering

· Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)

· Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)

· Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

The Institute of Microelectronics (IME) is a research institute of the Agency for Science, Technology and Research (A*STAR). Positioned to bridge the R&D between academia and industry, IME"s mission is to create innovative microelectronics technologies. We want to add value to Singapore"s semiconductor industry by enabling enterprises to be technologically competitive through R&D. We are looking for you to help us grow our partnerships with the industry. If you are excited about microelectronics and believe you can make a difference, we want you!

Job Responsibilities:

- Candidate will be required to develop, secure and manage industry partnerships.

- Candidate will also be responsible for developing and executing marketing strategies to promote IME’s research capabilities to interested parties.

- Candidate will be required to work alongside the ‘Technology Development’ teams to develop their strong value propositions and assist with market intelligence to shape the Technology Development teams’ R&D strategies.

- Candidate will be required to carry out account management to strengthen customer relationships.

- Candidate will be required to coordinate and engage with internal stakeholders such as A*STAR’s Industry and Enterprise Group or various other public sector agencies.

Job Requirements:

- Degree in Science or Engineering.

- At least 8 years of relevant work experience.

- Able to structure and negotiate collaboration agreements.

- Strong communication (written and verbal), marketing and interpersonal skills.

- Strong analytical skills.

- Results oriented, pro-active, and a team player.

- Adaptable and comfortable working in a fast-paced and fast-changing environment.

- Passion to develop Singapore’s semiconductor industry.

[What the role is]

The Centre for Climate Research Singapore (CCRS) is a division of the Meteorological Service Singapore (MSS). At CCRS, our mission is to advance scientific understanding of tropical climate variability and change and its associated weather systems affecting Singapore and the wider Southeast Asia region, so that the knowledge and expertise can benefit decision makers and the community. Our vision is to be a world leading centre in tropical climate and weather research focussing on the Southeast Asia region.

Within CCRS, the Department of Weather Research (DWR) leads the research and development (R&D) of our core tropical, convective-scale ‘SINGV’ modelling system for both weather and climate change applications. DWR also undertakes R&D and oversees the transition to operations of SINGV-based local numerical weather prediction (NWP), marine and haze/air quality forecasting with lead times up to a week ahead. The DWR works closely with CCRS’s Department of Climate Research (DCR) and High Performance Computing (HPC) Branch, MSS forecasters, local universities, and a number of international organisations including the UK Met Office, Australian Bureau of Meteorology, and US National Centre for Atmospheric Research (NCAR). Since 2022, CCRS has been a core member of the international Unified Model (UM) partnership.

The DWR/NWP branch is responsible for developing and improving nowcasting and regional NWP systems, and translating the outputs into customised products for supporting MSS weather services and other stakeholders. The branch also works closely with local agencies, institutes of higher learning and UM partners to share research outcomes and deliver improved forecast products for the region.

Rainfall nowcasting is a key R&D area at CCRS to provide timely and actionable very-short-range (<1hr) heavy rainfall warnings to the general public and government agencies. This position will work closely with partners including PUB (Singapore’s National Water Agency), the Australian Bureau of Meteorology and local research institutes to contribute to CCRS’ NWP efforts through improving radar data quality control and signal processing, development of rainfall nowcasting systems and transition of research outcomes to operations.

[What you will be working on]

The specific job responsibilities of this position include:

• Keeping abreast with the latest research and development in radar meteorology and machine-learning (ML)-based nowcasting application.
• Maintaining and improving the radar data processing chain, including quality control, signal processing and compositing.
• Developing operational nowcasting system dashboards.
• Developing ML-based rainfall nowcasting algorithms both for research and operationally deployment.
• Publishing research outcomes in peer-reviewed publications and presenting findings at international meetings.
• Working with stakeholders to tailor verification metrics according to requirements/needs.

[What we are looking for]

The job might be for you if you possess the following:

• Masters or PhD degree (or equivalent) in meteorology, machine learning, data analytics or a related field.
• At least 3 years of research experience in radar data processing for environmental research projects is desirable.
• High level of proficiency in scientific computing.
• Research experience in meteorology, atmospheric science or nowcasting is desirable.
• Familiarity with machine learning Python packages (e.g., PyTorch, Tensorflow) is desirable.
• Good written and verbal communication skills, with publications in peer-reviewed journals are desirable.
• Ability to work effectively to deadlines on individual projects and as part of a diverse team.
• Interest and passion to deliver relevant R&D for societal benefits.
• Ability to network effectively with the local and international research community.
• Ability to engage and communicate with scientists and stakeholders from diverse communities.
• As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

To apply, please proceed to Careers@Gov at https://sggovterp.wd102.myworkdayjobs.com/PublicServiceCareers/job/NEA-KIM-CHUAN-OFFICE/Senior--Research-Scientist--Numerical-Weather-Prediction-Branch-_JR-10000027885

We are looking for a self-motivated candidate with expertise in high performance digital design and system level architecture modeling to join our Heterogeneous System design team. This candidate will work closely with IME’s advanced packing team and contribute to the exploration, optimization and development of multicore & multi-chip system using IME’s heterogeneous integration platform.

Job Description:

· Digital IC Design and system-level exploration:

o Lead and contribute to the design and development of digital integrated circuits, ensuring they meet performance and functionality requirements.

o <!-Emphasize a system-level perspective in the design process, considering overall system architecture and functionality.

o Apply a deep understanding of cryogenic temperature effects on digital ICs and implement design strategies for optimal performance in low-temperature environments.

o Incorporate Edge AI principles into digital IC designs, enabling efficient and intelligent processing at the edge of the network.

o RTL implementation for custom circuit design using Verilog/SystemVerilog

o Derive specs and implement necessary customized and highly efficient building blocks such as systolic array, data path controller, scheduler, integer and floating-point processing engine, FFT, etc which are frequency used in various computing architecture such as in-memory computing, deep learning and neuromorphic computing.

· Simulation, Verification, and Implementation:

o Conduct thorough simulation and verification of digital designs to validate functionality and performance.

o Utilize FPGA in digital IC designs, leveraging its flexibility and reconfigurability for system emulation and architecture exploration

o Perform timing analysis and collaborate with the team to optimize designs for timing closure.

o Contribute to power analysis activities and implement power-efficient design techniques.

Publish research works in prestigious conferences and Journals such as ISSCC, VLSI Symp, A-SSCC, DAC, JSSC and TCAS-I/II.

· Collaborate closely with cross-functional teams, including hardware and software engineers, to seamlessly integrate digital ICs into the overall system architecture.

· Prepare detailed design documentation, including specifications, test plans, and reports.

· Troubleshoot and debug digital IC designs with a focus on identifying and addressing system-level issues.

· Bring creative and innovative solutions to design challenges, staying abreast of industry trends and emerging technologies.

Requirements: Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. The candidate should have prior experiences in IC tape-out of digital/mixed signal SoC and system level modelling and optimization using industry standard tools from leading EDA vendors such as Cadence, Synopsis and Matlab.

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.

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.

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