Job requirement:

• Ability to perform first level investigation out of control situation and line excursions, abnormal lot/tool judgement due to inline OOC and OOS from SPC Chart.
• Process condition optimization.
• Work closely with equipment and production to ensure key module objectives are met.
• Evaluation to improve process margin.
• Cost reduction projects.
• Ensure safety, discipline and housekeeping compliance by all personnel.
• Analyze different types of defects and provide clear problem description with maintenance counterparts on troubleshooting.

Job requirement:

• Diploma in Electrical/Electronics/Chemistry/Microelectronics/Engineering or equivalent.
• Relevant working experience in Photo Process semiconductor front-end industry
• Willing to work in cleanroom environment.
• Able to perform 12-hour rotating shift
• An excellent team player with good interpersonal skill
• Strong logical thinking capability and good analytical skill
• Highly committed with good ownership and accountability
• Passion for the semiconductor / manufacturing industry
• Able to adapt in a fast pace environment and work under pressure
• Proficient in MS Office Applications

Job Description

• Follow SOP and carry out CAS per specification.
• Execute scheduled / special preventive maintenance (PM) as per PM schedule and
• specifications.
• Troubleshoot basic equipment related issues and minimize equipment downtime.
• Maintain good housekeeping in the production floor / sub FAB / Office, and maintenance
• support areas.
• Ensure and follow good safety practice and also safe custody of tools, equipment and
• other properties belonging to the Module.
• Know how to use SPACE to monitor and analyze SPC charts. Understand all the PR rules
• and follow CAS correctly.
• Know how to use measurement instruments effectively in data collection. Able to create
• metrology job files correctly (equipment list to be defined by the Supervisors.)
• Perform shift duties (12-hours shift) to support the running of production in the Module and
• ensure equipment readiness and worthiness for production.
• Assist Engineer in the installation and hook up of new or upgrading equipment.
• Assist in implementing equipment improvement projects.
• Able to train operators and trainers in new operational procedures.
• Execute good maintenance of support tools.
• Assist new Technician/Associate Engineers on their On-The-Job-Training (OJT) by acting
• as their buddy.
• Provide proper and accurate passed down of line issues and documentation (fill up and file
• the checklists).
• Wafer scrap reduction awareness.
• Participate in CIP programs to improve productivity and quality of equipment/process.
• Coordinate with operators to ensure efficiency of work to meet Mfg and Module objectives

Job Requirements:

• Diploma Electrical / Electronics / Mechanical / Mechatronics / Microelectronics
• Experience in Photo / Track equipment tools
• Able to perform 12-hour rotating shift
• An excellent team player with good interpersonal skill
• Strong logical thinking capability and good analytical skill
• Highly committed with good ownership and accountability
• Passion for the semiconductor / manufacturing industry
• Able to adapt in a fast pace environment and work under pressure
• Proficient in MS Office Applications

Job Description

• Follow SOP and carry out CAS per specification.
• Execute scheduled / special preventive maintenance (PM) as per PM schedule and
• specifications.
• Troubleshoot basic equipment related issues and minimize equipment downtime.
• Maintain good housekeeping in the production floor / sub FAB / Office, and maintenance
• support areas.
• Ensure and follow good safety practice and also safe custody of tools, equipment and
• other properties belonging to the Module.
• Know how to use SPACE to monitor and analyze SPC charts. Understand all the PR rules
• and follow CAS correctly.
• Know how to use measurement instruments effectively in data collection. Able to create
• metrology job files correctly (equipment list to be defined by the Supervisors.)
• Perform shift duties (12-hours shift) to support the running of production in the Module and
• ensure equipment readiness and worthiness for production.
• Assist Engineer in the installation and hook up of new or upgrading equipment.
• Assist in implementing equipment improvement projects.
• Able to train operators and trainers in new operational procedures.
• Execute good maintenance of support tools.
• Assist new Technician/Associate Engineers on their On-The-Job-Training (OJT) by acting
• as their buddy.
• Provide proper and accurate passed down of line issues and documentation (fill up and file
• the checklists).
• Wafer scrap reduction awareness.
• Participate in CIP programs to improve productivity and quality of equipment/process.
• Coordinate with operators to ensure efficiency of work to meet Mfg and Module objectives

Job Requirements:

• Diploma Electrical / Electronics / Mechanical / Mechatronics / Microelectronics
• Experience in Etch tools / equipment (AMAT / Mattson)
• Able to perform 12-hour rotating shift
• An excellent team player with good interpersonal skill
• Strong logical thinking capability and good analytical skill
• Highly committed with good ownership and accountability
• Passion for the semiconductor / manufacturing industry
• Able to adapt in a fast pace environment and work under pressure
• Proficient in MS Office Applications

Roles & Responsibilities:

You will provide first-line clinical coverage and assist in carrying out patient care/procedures in the department. You will also be required to perform night duties and provide coverage on weekends/public holidays per department roster.

Job Requirement:

• Must be in active clinical practice
• Possess a basic medical degree from an accredited medical university or medical school
• Has 3 years of post-housemanship working experience in revelant field such as Emergency Medicine, General Medicine, Critical/Intensive Care Medicine, Anaesthesiology, Orthopaedic or Surgery
• A postgraduate qualification in the revelant discipline will be an added advantage
• Ability to work independently with demonstrated competence in managing to patients
• Confident, pro-active and a good team player

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow should possess relevant experience and will be conducting research on Data Security for LLM systems and work on Formal Methods Agents based on LLM.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:

• Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
• Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
• Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
• Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
• Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

• Master’s degree in Materials Science, Chemistry, Physics, or a related field.
• Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
• Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
• Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmWave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to join our Technology-Business Development department. You will be responsible for sales and marketing, account management and industry development. If you're excited about the future of microelectronics and wish to contribute to the development of Singapore's innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Perform market intelligence, develop and execute go-to-market plans for commercialization of IME's research capabilities.
• Lead industry and customer engagements, understand their needs and work with Technology Development teams to formulate value propositions.
• Structure, review and negotiate contracts with industry partners and customers.
• Develop industry network, manage accounts and build relationships to win and retain industry partners and customers.

Job Requirements:

• Degree in Science or Engineering.
• Ability to think on the feet
• Result-oriented, analytical, proactive, resourceful and team player
• Good communication, presentation and interpersonal skills
• Resilience and adaptability to work in a fast-paced and fast-changing environment
• Passion to develop Singapore's semiconductor industry

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmWave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to join our Technology-Business Development department. You will be responsible for sales and marketing, account management and industry development. If you're excited about the future of microelectronics and wish to contribute to the development of Singapore's innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Perform market intelligence, develop and execute go-to-market plans for commercialization of IME's research capabilities.
• Lead industry and customer engagements, understand their needs and work with Technology Development teams to formulate value propositions.
• Structure, review and negotiate contracts with industry partners and customers.
• Develop industry network, manage accounts and build relationships to win and retain industry partners and customers.

Job Requirements:

• Degree in Science or Engineering.
• Ability to think on the feet
• Result-oriented, analytical, proactive, resourceful and team player
• Good communication, presentation and interpersonal skills
• Resilience and adaptability to work in a fast-paced and fast-changing environment
• Passion to develop Singapore's semiconductor industry

Candidate will be required to develop, secure and manage industry partnerships for the NGTC. Candidate should stay updated on RF/mmWave GaN market trends and conduct thorough market research and competitive analysis on companies, competitors and the market for actionable insights. This may involve conducting SWOT analyses to enable NGTC to come up with a strategic plan to optimise business and research collaborations.

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

Candidate will be required to work alongside various internal and external stakeholders and teams to develop NGTC’s strong value propositions and assist with market intelligence to shape the NGTC’s strategies.

Candidate will be required to carry out account management of companies for NGTC to strengthen customer relationships.

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

Requirements:

• Degree in Science or Engineering
• Minimum 5 years of relevant working experience, preferably with a background in GaN technology and industrial commercialization.
• Able to structure and negotiate collaboration agreements.
• Strong analytical skills.
• Strong communication (written and verbal), marketing and interpersonal 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 ecosystem.

As part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will contribute to developing analog circuit blocks e.g. low-power operational amplifiers, voltage/current references, and voltage regulators based on thorough topology analysis. This candidate will work closely with other team members for the circuit design, test verification, as well as system integration and validation for a broad range of innovative sensor systems.

Role & Responsibilities

• Circuit schematic design and simulation, layout supervision, pre-tapeout design verification, test plan development and chip measurement
• Work together with teams to investigate novel circuit/system solutions to create new inventions

Requirements

• Bachelor’s / Master’s degree in Electronic Engineering
• Good understanding of CMOS analog IC design methodologies
• Familiar with analog IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

(JR:18151)
The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Duties And Responsibilities

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

• Hiring, training, and coordinating undergraduate research assistants
• Extensive work with data, including organization, cleaning, coding, and analysis
• Manage the participant reimbursements
• Maintain data security and confidentiality
• Provide timely updates of studies to PI
• Working with participants across a range of settings and studies
• Research and administrative duties (e.g., preparation of manuscripts for publication, conference presentations, purchases, grant reports)
• Any other work assigned by the PI

Position Overview:

Black Sesame Technologies is a rapidly expanding artificial intelligence company backed by substantial VC funding, dedicated to pioneering algorithms and chips for artificial intelligence and image processing. As a Research Scientist in this role, you will collaborate closely with leading researchers to forge cutting-edge perception algorithms aimed at tackling real-world challenges in autonomous driving and beyond. The primary focus of perception is to identify and comprehend the surrounding environment of autonomous vehicles, supporting L2 and L3 automated driving capabilities. This involves constructing a real-time virtual representation of the local environment by processing input data predominantly from cameras, alongside data from complementary sensors such as radars, IMU, and ultrasonic sensors.

Job Description:

• Develop deep learning-based perception algorithms encompassing object detection, lane detection, segmentation, depth estimation, and other related tasks.
• Innovate state-of-the-art network architectures and training methodologies, assessing their efficacy in addressing vision-related challenges.
• Execute deep network compression tailored for ASIC platforms.
• Stay abreast of the latest advancements in deep learning and computer vision literature, proactively proposing novel concepts.
• Contribute to patent and research paper publications.

Job Requirements:

- Master Degree/ PhD in Computer Science, electrical engineering, or a related field.

- Possess 3+ years of experience in computer vision / machine learning development.

- Demonstrated expertise in research and development within one or more of the following domains:

• Deep network development, particularly with visual data.
• Object detection and tracking.
• Stereo / optical flow / depth estimation.
• Multi-view geometry and 3D computer vision.
• Structure from motion.
• Network compression and optimization.
• Network-based sensor fusion.
• Mathematical optimization.
• Proficient programming skills in Python (knowledge of C++ is advantageous).

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

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

We regret that only shortlisted candidates will be notified.

Job Description

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will work at the Yang Zhang Lab. He/she should possess experience or interest in the following research areas:

• Artificial Intelligence (AI) and Deep Machine Learning
• Protein Folding and Structure Prediction
• Protein and Peptide Design and Engineering
• Protein-ligand Docking and Drug Screening

We are particularly interested in the development of new AI-based approaches to cancer therapeutics. Skills in computational coding and creativity in scientific method design, together with high interest in computational cancer medicine, are critical.

Only shortlisted candidates will be notified.

Job Requirements

PhD in computer science or computational biology, with skills and research experience in AI and deep learning.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

BENEFITS

1. Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS

The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Research Assistant
An appointment as a Research Assistant may be offered to an applicant who has a Bachelor’s degree in law and/or who has recently graduated with an LLB (Hons) with a First-class or good Upper Second-Class Honours (or equivalent) in law.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS Career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

BENEFITS

1. Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS

The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Research Fellow
An appointment as a Research Fellow may be offered to an applicant who has recently obtained a Ph.D. degree in law.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS Career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date.

Summary

Apple is looking for a thought leader in Market Research to support research and insight needs in Asia markets especially Southeast Asia and India. This position is responsible for developing research plans, managing local specific projects, working closely with local stakeholders and Research team to deliver insights that unlocks new growth opportunities for the local market and informs decision making. We’re looking for an expert in consumer research and research methodologies, highly capable and agile in analyzing and synthesizing data across different sources, translating data into actionable insights and linking it to business issues. The candidate should also have creative visualization and impactful presentation/communication skill. The key success factor in this role is the ability to design, oversea and utilize research programs to timely capture consumer voice and address unique local business needs. The success of this role will also highly depend on strong collaboration with other research members and local function teams.

Description

• Partner with local teams in SEA and India to identify the key local business issues, create research brief and develop research plan that delivers compelling insights and provides thought leadership.
• Lead, develop and manage primary consumer research execution for data collection and reporting, and conduct advanced analysis when needed.
• Communicate and deliver meaningful research results to key stakeholders and support insights communication for local needs.
• Manage syndicated data sources as well and triangulate data from various sources to deliver broader strategic insight.
• Work closely with other research members in the team to make sure the best synergy, high quality and seamless communication across the projects & deliverables in the Asia region. Support projects for other markets in the region when needed.
• Collaborate with global research team on projects involving SEA and India where local input & participations are required.
• Identify high quality local data sources and local agencies. Bring innovation to research projects including recommendation of relevant approaches that suit local markets best.
• Travel to US, China and other Asia markets is required.

Minimum Qualifications

Bachelors degree in market research or human behavior, sociology or statistics related field.

At least 7-8 years of demonstrated success in customer insights / marketing research in a consumer technology / consumer products company or market research firm.

Preferred Qualifications

• Intellectually curious with proven track record in quantitative and qualitative survey analysis.
• Comprehensive experience in market research project and agency management.
• Highly analytical, capable to cut data for different needs and run advanced analysis (regressions, driver analysis, factor analysis and cluster analysis etc.) when needed.
• Extremely strong communication, visualization and articulation skills to deliver meaningful insights to shape business decisions.
• Curiosity and perseverance, a drive for focus and excellence, ability to multi-task and ask questions.
• Dynamic and highly motivated individual who works well in a fast-paced and changing environment and always willing to learn new things.
• Deep expertise with application of a broad range of consumer research techniques and methodologies.
• Ability to efficiently manage and implement quick-turnaround, high volume of projects
• Great understanding of consumer technology industry.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A full-time Research Assistant position in the team led by Assistant Professor Chua Wei Ling is available at the Alice Lee Centre for Nursing Studies, National University of Singapore. The selected candidate will work closely with the Principal Investigator in the research domains of (i) nursing staffing and patient outcomes and (ii) post-sepsis syndrome.

This position provides an excellent opportunity for candidates looking to further experience in research with a view to a Master’s and/or PhD with the Principal Investigator.

Appointment will be made on a 12-month contract basis in the first instance, with the possibility of extension, depending on project commitments and candidate’s career objectives.

Duties

The appointee will be required to:

1. Oversee the administration and general management of the research projects, including support with grant and ethics application and liaise with relevant stakeholders in preparing research agreements.
2. Conduct research fieldwork, including recruiting and managing participants, data collection, data analysis.
3. Assist in preparing reports and meeting materials for stakeholders.
4. Work on other tasks as assigned.

Qualifications

The applicant should:

1. have a Degree in nursing, health-related, social-science disciplines; preferably with some experiences in research;
2. be proficient with Microsoft Office Suite applications, e.g., Microsoft Word, Excel, PowerPoint;
3. have excellent project management, organisation, coordination, and problem-solving skills;
4. have excellent interpersonal skills and written and verbal communication skills in English;
5. be a good team player with a strong sense of responsibility;
6. be highly motivated individual with capacity to work independently;
7. Proficiency in Mandarin required as the position will require working with Chinese-speaking participants
8. Experience in planning, managing, and implementing healthcare-related research projects will be an added advantage;
9. Proficiency in data analysis applications (e.g. SPSS, Jamovi, Stata, R & etc) will be an added advantage.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in research and project management.

Applicants should be a Singaporean Citizen or Permanent Resident.

Formal application: Please submit your application, indicating current/expected salary, supported by a CV and complete contact information of 3 referees via the NUS Careers Portal.

Only shortlisted candidates will be notified.

Candidate will be required to develop, secure and manage industry partnerships for the NGTC. Candidate should stay updated on RF/mmWave GaN market trends and conduct thorough market research and competitive analysis on companies, competitors and the market for actionable insights. This may involve conducting SWOT analyses to enable NGTC to come up with a strategic plan to optimise business and research collaborations.

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

Candidate will be required to work alongside various internal and external stakeholders and teams to develop NGTC’s strong value propositions and assist with market intelligence to shape the NGTC’s strategies.

Candidate will be required to carry out account management of companies for NGTC to strengthen customer relationships.

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

Requirements:

• Degree in Science or Engineering
• Minimum 5 years of relevant working experience, preferably with a background in GaN technology and industrial commercialization.
• Able to structure and negotiate collaboration agreements.
• Strong analytical skills.
• Strong communication (written and verbal), marketing and interpersonal 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 ecosystem.

Job description – Digital technologies and Artificial Intelligence (AI) in preventing and monitoring dengue and Covid-19: A comparative study of Singapore and other countries

Position: Research Assistant (Bachelor degree/Master level)
Contract: 4 months
Location: Singapore, CNRS@CREATE (NUS campus)

We are seeking a motivated Research Assistant (RA) to support a multidisciplinary project that investigates prevention strategies for dengue and Covid-19 in Singapore (https://www.cnrsatcreate.cnrs.fr/space/). The research emphasizes the transformative role of digital technologies and AI in public health management.

Tasks:

• Conduct literature reviews on the use of digital technologies and AI applications in public health, focusing on dengue and Covid-19 prevention, monitoring, and control.
• Assist with data collection through interviews with stakeholders (public health officials, tech developers, researchers) and through document analysis of government reports, policies, and relevant publications.
• Support comparative analysis of prevention strategies, focusing on digital technologies (mobile apps, AI, IoT, drones) used in different countries.
• Analyze secondary health data (e.g. dengue incidence rates, app usage statistics, etc.) and integrate qualitative findings from interviews.
• Assist in preparing academic manuscripts, policy briefs, and presentations.

Qualifications:

· Bachelor's or Master's degree in public health, geography, urban studies, data science, or a related field.

· Experience with qualitative research methods.

· Strong interest in digital technologies, AI, and public health in Asia.

· Proficiency in literature reviews, data analysis, and report writing.

· Excellent communication skills and the ability to work in a collaborative environment.

Preferred skills:

· Knowledge of health policies and urban public health challenges in Asia.

• Familiarity with research ethics, especially in relation to interviews or handling public health data
• Familiarity with Southeast Asian contexts, especially Singapore and neighboring countries.
• Proficiency in English, both written and spoken, is essential. Proficiency in additional languages spoken in Southeast Asia would be a plus, though not required.

· Ability to work independently with minimal supervision, effectively managing time, staying organized, and ensuring timely completion of tasks.

Additional information:

· The applicant must be based in Singapore and have the right to work there.

· The grade of appointment will be determined based on the candidate’s academic qualifications and years of relevant experience.

Application: Please send your CV, a cover letter, and one writing sample (e.g., academic paper, report) to elisabeth.peyrouxatcnrs.fr. In your cover letter, please highlight your relevant experience and explain why you are interested in this research project.

Application Deadline: 16 December 2024

Start Date: 2nd of January 2025

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are currently seeking a highly motivated and talented research assistant/associate to work on research focusing on identifying novel therapies for treatment of acute myeloid leukemia in the laboratory of Dr Shruti Bhatt at the NUS (http://pharmacy.nus.edu.sg/tenure-track-faculty/). The candidate will be an integral member of our research team and will work under the direct supervision of Dr Shruti Bhatt (https://pharmacy.nus.edu.sg/team/asst-prof-shruti-bhatt/) to support ongoing studies including identifying clinical response to targeted therapy in leukemia using BH3 profiling. Opportunity to perform high-throughut chemical screens on cell lines and patient-derived tumor cells. We are looking to hire someone who is interested in doing wet lab experiments. The candidate will be trained in the lab however, prior experience will be given first preference.

The main responsibilities of the position include:

a) Research tasks: 90%

• To perform cell-based assay such as apoptosis, cytoxociity, cell proliferation, immunophenotyping, BH3 profiling.
• Processing of human primary leukemia samples to isolate mononuclear cells and process for flow cytometry.
• To harvest cells, protein, RNA or DNA from animal tissues, cell lines or bacteria.
• To perform experiments including PCR, immunoprecipitation and Western blot.

(b) Laboratory safety/ordering: 10%

• To aid in ordering and maintaining lab supplies.
• To create and review standard operating procedures and risk assessments.
• To assemble reagents, chemicals and media that are needed for experiments.

Qualifications

Qualifications / Discipline:

Bachelor of Science required with major in biological sciences or related field (such as pharmacy, biomedical engineering, life science, etc). Strong background in molecular and cellular biology is preferred.

Skills:

The applicant must be a self-starter with the ability to work well within a team environment, and able to work on his/her own with minimal daily supervision. The individual is expected to be able to multi-task and be well organized, both require good time management skills; pay careful attention to experimental details, and have excellent communication skills. English language reading, writing, and speaking skills required.

Experience:

We will consider a Bachelor's or Master’s degree with or without experience. Additional experience in molecular biology, handling of animals, clinical samples or primary tumors, flow cytometry and fluorescent microscopy will be viewed favorably. Background in apoptosis or leukemia biology is a plus. Candidates with prior knowledge of large data-set analysis will also be preferred. Proficient computer skills are expected with competency in Word, Excel, etc. We are looking for candidates who have at least one year of availability and can start immediately.

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.