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

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

Recipient of the esteemed International Translational Neuroscience Award, Dr. Yan, a pioneer in Brain Tumor research, joins IMCB to establish the NeuroPhenomics Lab. This lab marks a new chapter in our quest for profound biological insights and their translation into biomarkers and therapies.

The lab"s mission revolves around a profound exploration of brain tumor biology, particularly focusing on key driver mutations like IDH1 and IDH2. These mutations, significant in the development of aggressive malignant gliomas, are pivotal in altering chromatin and genome methylation, thus influencing tumor evolution. The lab extends this research by identifying other genetic alterations with potential clinical relevance.

Dedicated to exploring new frontiers, the NeuroPhenomics Lab integrates advanced techniques in genetics, epigenetics, and metabolomics at both single-cell and spatial levels. This approach allows for a detailed examination of tumor cell diversity and their interactions within the microenvironment. The lab also investigates neurometabolism, emphasizing the TCA cycle and IDH enzymes, and studies how metabolites affect the brain and tumor progression.

Aiming to bridge research and clinical application, the lab"s multi-dimensional strategy includes iPSCs, patient-derived organoids, transgenic models, and advanced imaging technologies. This positions the NeuroPhenomics Lab at the forefront of developing transformative therapies in neurooncology and neurometabolism.

Job Opportunity:

Join the NeuroPhenomics Lab in its endeavor to redefine brain tumor genomics. We seek individuals with a strong background in Computer Science or Bioinformatics, particularly in data analysis, to contribute to our innovative research.

Key Qualifications:

• PhD in Bioinformatics, Computer Science, Biostatistics, or a related field with a research focus.
• Individuals planning to pursue PhD training (at NUS or NTU) are also welcome to apply.
• Expertise in bioinformatics and next-generation sequencing data analysis.
• Experience with Single-cell sequencing and Spatial-omics data analysis is a plus.
• Familiarity with developing AI models for visual recognition of imaging data.
• Experience in applying research to train Large Language Models (LLM) is advantageous.
• Preferred experience in Computer-Aided Drug Discovery.
• Exceptional analytical, technical, and problem-solving skills.
• Ability to work independently and thrive in a dynamic team environment.

We are looking for a Senior Scientist (laboratory head) who is highly motivated, collaborative, passionate for research, committed to laboratory ethics. The laboratory head will be leading an ongoing IMCB-Mandai Nature joint project on biobanking of different wildlife species samples (live cells, tissues) and the generation of induced Pluripotent Stem Cell at the Endangered Species Conservation via Assisted Reproduction (ESCAR) lab.

Job scope includes the following:

• Lead the biobanking management and advance endangered species cell culture methodology for different taxonomic groups.
• Liaise and work collaboratively with academic and industry researchers from related fields to strengthen regional and local networks.
• Engage with academic and industry collaborators and stakeholders in conservation-linked organizations.
• Provide lab maintenance guidance, record keeping, reporting, safety, and other miscellaneous lab activities.
• Direct involvement in wet and dry lab experiments using techniques such as cell culture, molecular and cellular biology, microscopy, image analysis.
• Present important scientific findings at international, regional and local conferences.
• This job description serves to illustrate the scope and responsibilities of the post and is not intended to be an exhaustive list of duties. You will be encouraged to share and bring in new ideas to strengthen the ongoing project and perform other job-related tasks requested by your reporting officers. This is an opportunity to be involved in authorship of journal papers and multidisciplinary collaborations.

Job Requirement:

• PhD degree or equivalent in Biological / Life Science disciplines or equivalent field with at least 5 years of laboratory research leadership experience. Passion for wildlife conservation.
• The following research experience is mandatory:
• Proficient in molecular biology techniques (e.g. DNA and RNA isolation, qRT-PCR, sequence analysis, plasmid cloning, protein analysis and western blot), data analysis (E.g RNA-seq)
• Experience in generation of iPSC’s especially of wildlife species
• Immunostaining, microscopy and image analysis (e.g. FISH)
• Experience in handling tissue samples for derivation of cell lines
• Ability to multitask, work independently and as part of a team
• Ability to show initiative, problem solve and achieve agreed objectives.
• Excellent communication (verbal and written), presentation, interpersonal skills, with the ability to successfully manage a team and maintain effective communications with collaborators
• Ensure continuous professional development by keeping up to date with all technical knowledge and skills in line with current best practices.

The following laboratory skills are desirable:

• Stem cell biology and differentiation.
• Transcriptomics, metabolomics and proteomics with advanced bioinformatics analysis.
• Flow cytometry, FACS and high throughput screening analysis.

Summary:

At Kunlun-2050 Research Singapore, we welcome you to become a part of our team as a Research Intern for multi-modal content generation.

Kunlun-2050 Research Lab is at the forefront of fundamental research in AGI. This is a great opportunity to put theory into practice, learn from top researchers, and contribute to a groundbreaking R&D landscape.

Key Responsibilities:

• Conduct cutting-edge research in multi-modal content generation (video, audio, image), ensuring findings are published in prestigious conferences and journals.
• Identify and tackle complex problems in multi-modal content generation under the guidance of expert mentors.
• Develop algorithms, insights, or data collections that address key aspects of higher research objectives.
• Utilize and contribute to cutting-edge tools and methods in multi-modal content generation, applying these advancements to product development.

Desirable Experience:

• Preference for candidates who can commit to a full-time internship of at least 6 months.
• Engaged in a PhD program in computer science or a related STEM discipline, with a focus onimage/video/audio generation.
• Demonstrated excellence in research with publications in top-tier conferences or journals(NeurIPS, ICLR, CVPR, ICCV, ECCV, ICML, or equivalent).
• Exhibit a solid understanding of generative models, where expertise in video generation isconsidered a plus.
• Demonstrate proficient coding skills in deep learning frameworks, like PyTorch and TensorFlow.

Apply:

Interested candidates may send the latest Curriculum Vitae to [email protected] to explore this exciting opportunity.

We are committed to fostering diversity and welcome candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab.

Be Part of Us

As a Research Geophysicist in the GEO TP Research team, you will be reporting to the Research Manager. In this role, you will contribute to a variety of research activities in line with the business needs such as developing, testing, improving, and validating algorithms / modules / methods with predefined geophysical content.

At the forefront of delivering unmatched Geoscience capabilities for our clients, our Research Geophysicists are analytical experts at identifying the best possible exploration spaces using advanced imaging workflows and technologies. As a global technology and high-performance computing leader, Geoscience in CGG is about solving some of the world’s complex environmental challenges. Our job is to leverage on curiosity and passion in science to become an established leader in delivering outstanding Geoscience services by uncovering new ways for our stakeholders to be more efficient and responsible, for a more sustainable future.

We practice Geoscience in ways that CGG does best – Caring deeply about the Earth, pushing beyond boundaries, and utilising multi-disciplinary approach in pursuit of innovation.

Job Overview

• Develop a program or prototype with predefined geophysical content and specifications
• Participate in the geophysical validation of prototype with the Imaging team
• Understand internal requirements by building close relationships with the Imaging team
• Prepare technical articles and carry out technical presentations for clients
• Support the innovation process to deploy patent policy
• Develop knowledge by reading academic publications, attending technical presentations, workshops, conferences, and seminars
• Participate in the innovation process for deploying patent policy
• Stay abreast of technology advancements to develop and improve research activities for Business Units and Clients

Key Skills & Experience

Desired Job Skillsets:

• Entry to Intermediate level professional contributor on a research project
• Possess master technical knowledge

Qualifications:

• Master or PhD in Geophysics, Physics, Mathematics, Engineering or other analytical discipline
• Have at least 0-3 years of experience

Key Competencies

• Analytical thinking
• Innovative
• Conceptual thinking
• Judgement
• Good communication
• Strong technical background
• Customer Service

Why Work at CGG?

At CGG, we are dedicated to providing the needs of our employees; and we know every employee has unique personal goals, family circumstances, and preferences. That is why we offer a wide array of benefits to promote and enhance your total well-being:

• Flexible Hybrid Work Model
• Comprehensive Personal and Family Healthcare
• Competitive Compensation Package
• Onsite Wellness & Recreation Corner
• Fun Employee Engagement & Sustainable Activities

We care about the Environment

We encourage and support the community by fostering commitment among our employees to protect our environment through sustainable, energy-saving and waste reducing solutions through various company initiatives.

Create a brighter future for yourself

Our culture of learning and complementary approach to supported or self-guided career development, enables the design of tailored courses to suit your specific needs, to aid personal growth in areas related to both technical and personal skills. This is facilitated through an extensive suite of CGG developed courses.

Join us and share your talent and imagination to ‘SEE THINGS DIFFERENTLY’

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

A Postdoctoral Scientist (Bioinformatician) position is available immediately at the IMCB Cell Fate and Therapeutics Laboratory. The lab is interested in dissecting the regulatory switches regulating cell fate determination in healthy and diseased states, while developing novel tools Bioinformatician position

A Bioinformatician position is available immediately at the IMCB Cell Fate and Therapeutics Laboratory. The lab is interested in dissecting the regulatory switches regulating cell fate determination in healthy and diseased states, while developing novel tools and strategies in deriving desired cell types for therapeutic applications.

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

Requirements:

• Ph.D./ M.Sc. from a well-recognized institution with a strong research background in Bioinformatics/ Computer science/ Biostatistics or equivalent
• Experience in bioinformatics and data analysis for ChIP-seq, Transcriptomics, Single-cell analytics and Spatial-seq
• Experience with open-source bioinformatics tools
• Excellent analytical, technical, and problem-solving skills
• Knowledge with biostatistics highly desirable
• Self-starter who is comfortable working in a fast-moving interdisciplinary team
• Committed and able to work flexible hours
• Excellent communication, technical writing, and presentation skills

Interested candidates are asked to send a cover letter detailing your research motivations, CV, and the names and email addresses of three references to Jonathan Loh ([email protected]). Applicants can visit the lab website to find out more (http://www.imcb.a-star.edu.sg/php/jl.php).

References:

1) Cipta NO, Chen Y, Loh YH#. H3.3 safeguards haematopoietic ERV-quilibrium Nature Cell Biology 2021(In press)

2) Gautam P, et al., Loh YH#. Multi-species single-cell transcriptomic analysis of ocular compartment regulons. Nature Communications 2021 Sep 24; 12, 5675 #As Corresponding author

3) Xing QR, et al., Loh YH#. Diversification of Reprogramming Trajectories Revealed by Parallel Single-cell Transcriptome and Chromatin Accessibility Sequencing. Science Advances. 2020 Sep 11. 6:37, eaba1190. doi: 10.1126/sciadv.aba1190

4) Xing QR, et al., Loh YH#. Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility. Genome Research 2020 Jul;30(7):1027-1039. doi: 10.1101/gr.257840.119.

5) Fang HT, et al., Loh YH#. Global H3.3 dynamic deposition defines its bimodal role in cell fate transition. Nature Communications 2018 Apr 18;9:1537

6) Yang BX, et al., Loh YH#. Systematic Identification of Factors for Provirus Silencing in Embryonic Stem Cells. Cell 2015163(1):230-45

7) Agarwal S, Loh YH, et al., Daley GQ. Telomere elongation in induced pluripotent stem cells from dyskeratosis congenita patients. Nature 2010 464, 292-296.

8) Loh YH et al., Ng HH. The Oct4 and Nanog transcription network regulates pluripotency in mouse embryonic stem cells. Nature Genetics 2006 38, 431–440.and strategies in deriving desired cell types for therapeutic applications.

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

Requirements:

• PhD with strong research background in Bioinformatics/ Computer science/ Biostatistics or equivalent.
• Experience in bioinformatics and data analysis for ChIP-seq, Transcriptomics, Single-cell analytics, and Spatial-seq.
• Experience with open-source bioinformatics tools.
• Excellent analytical, technical, and problem-solving skills.
• Knowledge of biostatistics highly desirable.
• 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.

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 Natural Language Processing Group at the National University of Singapore invites applications for Research Fellow in the Department of Computer Science, School of Computing, to work on large language models, with application to text summarization.

The initial appointment is for a period of one year contract, with possible extension subject to research funding availability.

Qualifications

The candidate should possess a PhD degree in computer science or a related discipline, and a strong publication record in natural language processing, deep learning, or related areas. Strong programming skills and good command of English (both spoken and written) are also required.

Interested candidates should apply with a cover letter, CV, degree certificates, academic transcripts, names and email addresses of 3 referees.