Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

Responsibilities:

· Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)

· Monitor basic equipment/process errors and perform recovery.

· Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.

· Logistically transport wafer lots between equipment within cleanroom and between worksites.

· Identify and address potential areas for improvements such as cycle time, utilization, and cost.

· Perform chemical change/ top-up for equipment under supervision.

· Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.

· The candidate may be required to perform shift work (Mon-Fri).

Job Requirement:

· Diploma in Electrical/Mechanical/Chemical Engineering

· Basic understanding on semiconductor process is preferred

· 3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

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:

• Be a member of the leadership team to achieve the vision and mission of the National GaN Technology Centre (NGTC).
• Lead the Technology, Engineering and Industry team in technology road mapping and R&D pathfinding in device architecture, fabrication process technology, and MMIC design.
• Lead the Technology team, which comprises (a) characterization & modelling, (b) MMIC design, testing & model validation, (c) device failure and reliability analysis, (d) ultra high frequency GaN-on-SiC device design, layout, fabrication and characterization, and (e) low voltage GaN-on-Silicon device design, layout, fabrication and characterization.
• Coordinate with the Engineering team to develop ultra high frequency devices, ultra low voltage devices, and their MMICs.
• Coordinate with the Engineering and Operations teams to ensure timely delivery of the projects.
• Initiate and secure research grants and industry funding.
• Initiate, coordinate and manage research collaborations with IHLs and industry partners.
• Provide regular progress report of the Technology team’s activities to NGTC management.
• Represent NGTC in customer meetings.

Requirements:

• PhD in Electrical & Electronic Engineering, Materials Science and Engineering, Microelectronics Engineering, or closely related fields are welcome to apply.
• Deep understanding of GaN-HEMT device physics and GaN-based MMICs.
• At least 15-20 years of post-PhD hands-on experience in GaN HEMT and MMIC technology development including design, characterization (e.g. DC, small-signal and load-pull measurement), and modelling; preferably in RF GaN-on-Silicon or GaN-on-SiC technologies.
• At least 8 years of experience in leading a team of research engineers/scientists in managing multiple projects.
• Candidates with industry experience in GaN related R&D would be preferred.
• Working knowledge and hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, problem-solving methods, and in-line metrology techniques is desired.
• Possess strong leadership, project management, interpersonal and oral/written communication skills.

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:

• Be a member of the leadership team to achieve the vision and mission of the National GaN Technology Centre (NGTC).
• Lead the Technology, Engineering and Industry team in technology road mapping and R&D pathfinding in device architecture, fabrication process technology, and MMIC design.
• Lead the Technology team, which comprises (a) characterization & modelling, (b) MMIC design, testing & model validation, (c) device failure and reliability analysis, (d) ultra high frequency GaN-on-SiC device design, layout, fabrication and characterization, and (e) low voltage GaN-on-Silicon device design, layout, fabrication and characterization.
• Coordinate with the Engineering team to develop ultra high frequency devices, ultra low voltage devices, and their MMICs.
• Coordinate with the Engineering and Operations teams to ensure timely delivery of the projects.
• Initiate and secure research grants and industry funding.
• Initiate, coordinate and manage research collaborations with IHLs and industry partners.
• Provide regular progress report of the Technology team’s activities to NGTC management.
• Represent NGTC in customer meetings.

Requirements:

• PhD in Electrical & Electronic Engineering, Materials Science and Engineering, Microelectronics Engineering, or closely related fields are welcome to apply.
• Deep understanding of GaN-HEMT device physics and GaN-based MMICs.
• At least 12 years of post-PhD hands-on experience in GaN HEMT and MMIC technology development including design, characterization (e.g. DC, small-signal and load-pull measurement), and modelling; preferably in RF GaN-on-Silicon or GaN-on-SiC technologies.
• At least 12 years of experience in leading a team of research engineers/scientists in managing multiple projects.
• Candidates with industry experience in GaN related R&D would be preferred.
• Working knowledge and hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, problem-solving methods, and in-line metrology techniques is desired.
• Possess strong leadership, project management, interpersonal and oral/written communication skills.

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.

CNRS@CREATE is looking for a Postdoctoral Research Fellow in Urban Studies to join our SPACE project team.

SPACE PROJECT

The SPACE project is developing a research protocol for infectious disease prediction and prevention in Singapore. The project draws upon analyses of the risk factors and sociospatial patterns that drive dengue and COVID-19 transmission in Singapore, as well as the social and technical skills developed by individuals and community groups in response to disease propagation. Combining insight from the social sciences (geography, architecture and urban design, communication, economics, sociology, public policy) with biology (epidemiology, entomology) and computer science (artificial intelligence, biostatistics), the project will use the concept of “adaptive capacity” (AC) to explore the potential of community-based “latent social capital” (i.e. human, cultural, political, and social) as key assets for adaptive responses to health challenges related to dengue in its interplay with COVID-19.

The project brings together 23 researchers, 10 from France and 13 from five Singaporean universities (NTU, NUS, SUTD, SMU and SUSS). The research will be conducted in Singapore.

DESCRIPTION

Cities are at the forefront of adaptation and mitigation strategies in a wide range of global issues. Over the past decades, climate change and public health more particularly have been increasingly connected as changing environmental conditions pose significant threats to health and health care systems. The propagation of vector-borne infectious diseases, such as dengue, malaria and Zika, and new, emerging diseases, such as Covid-19, have prompted cities to increase their adaptive capacities in terms of prediction, prevention, and preparedness to current and future pandemics.

Building political agency across scales of government, in various national and transnational arenas and through various means (city-to-city cooperation, city networking, city diplomacy) has been a key challenge for cities. Building and sharing real-time data and coordinating public health responses across borders have been facilitated by the use of digital technologies through various types of devices (contact tracing applications, global mobility trackers, temperature screening kiosks and stations, environmental and population surveillance drones, digital platforms and web-based mapping of hotspot areas). Predictive Artificial Intelligence (AI) fed by growing streams of data from various sources along with increased capacity of Machine Learning have allowed improving model robustness. Finally, biotechnologies are also leveraged for improving diagnostics, vaccines and new vector control strategies. This takes place in a context whereby international policy transfer or policy mobility at large are being accelerated worldwide by digital and social media.

Against this backdrop, this postdoctoral research position aims at exploring the ways in which cities in South-East Asia are responding to the emergence and propagation of infectious diseases, both endemic, vector-borne diseases, such as dengue, and new, emerging infectious diseases, such as Covid-19. More particularly, it aims at analyzing the different ways in which knowledge about diseases and public health responses are built, circulated and shared across borders. Emphasis will be put on the use of “smart technologies” (digital technologies based on Big Data, Mobile Internet and AI) for the prevention and management of diseases. Case studies should include Singapore as a main case and a selection of other relevant cities in South-East Asia sharing similar health and environmental conditions. Specific digital technologies and tools may be selected to narrow down the international comparison.

The project’s research methodology may include discourses and/or content analysis of global and national narratives on changing urban environmental and health policies, literature reviews, which may include a scoping review, designing and conducting qualitative interviews with public and private stakeholders in Singapore.

EXPERIENCE & QUALIFICATIONS

• A doctoral degree in the appropriate field or discipline, such as urban studies, urban geography, urban planning, sociology, political science, public policy, environmental policy, public health, communication studies and cultural studies.
• The candidate should have demonstrated expertise in methods of qualitative research including interviews, ethnography, focus group discussions, data collection, and analysis.
• Proficiency in English
• Proficiency in one other Singapore’s official languages would be an asset.

This postdoctoral scholar will benefit from close collaboration with other team members from the SPACE project.

FURTHER INFORMATION & CONTACT

Salary range: 6100 to 7200 SGD (depending on suitability and experience).

Duration: 12 months.

Workplace Address: CREATE Tower (NUS Campus), 1 Create Way #08-01 Singapore 138602

Please send a short cover letter describing your suitability for the position, detailed CV with publication list, a concise description of research interests and future plans, and academic transcripts to: [email protected].

We will begin reviewing applications for the positions immediately. Expected start date of the contract is April 2024.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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:

The candidate needs to develop efficient algorithms for data collection, data cleaning and transforming raw data into usable format for model training. The candidate is expected to be meticulous, have a good sense of data quality and governance, proficient in scripting and keep good documentation. The candidate is expected to collaborate with scientists and engineers and have good team spirit. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, national language understanding

· Proficient programming skills, familiarity with Linux

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

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:

The candidate will train large language models with multimodal inputs (e.g. human generated text, programming languages, images). The candidate will investigate techniques to make language models amenable to logical reasoning and arithmetic reasoning. The candidate will need to scope out possible data collection, curation, and cleaning strategies and publish at high-impact venues in machine learning, NLP, and AI.

Job Requirement:

• PhD in computer science with specialization in NLP, machine learning, deep learning, multimodal processing, or related fields.
• At least 5 years of experience
• Proficient programming skills (C++ experience preferred), familiarity with Linux, adept with processing and training large language models
• Publications at top AI/NLP/ML venues are a must
• Strong analytical and critical thinking skills, team player with good communication and interpersonal skills
• Experience in large-scale data processing (e.g. at least 40GB of text) is highly desirable

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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.

As the Cybersecurity Director, you will be the leader overseeing Temus’ cybersecurity landscape.

This role entails shaping and executing comprehensive cybersecurity strategies, ensuring information security governance, compliance, and operations, as well as leading transformative projects, and maintaining industry certifications.

You will be at the forefront of cybersecurity operations, risk management, and training initiatives, contributing significantly to our organization's resilience against evolving cyber threats.

Reporting directly to the Chief Financial Officer, you will play a key role in aligning cybersecurity efforts with broader IT strategies, fostering a culture of security awareness, and driving continuous improvement in our cybersecurity posture.

In addition to internal responsibilities, you will also engage in client-facing initiatives, serving as a trusted advisor on cybersecurity matters. Your client-facing duties will include collaborating with external partners, providing guidance on security best practices, and addressing client concerns related to cybersecurity. By cultivating strong relationships with clients, you will demonstrate our commitment to cybersecurity excellence and contribute to the enhancement of our clients' security postures.

If you are a seasoned cybersecurity professional with a strategic mindset and a proven track record, we invite you to lead our cybersecurity initiatives and make a lasting impact on Temus’ digital resilience.

Key Internal Accountabilities

Information and Cyber Security Strategy and Transformation:

• Develop and implement a comprehensive information and cybersecurity strategy aligned with organizational goals.
• Lead the transformation of security capabilities to address emerging threats and technologies.

Information Security Governance:

• Oversee information security policies, standards, and procedures to ensure the confidentiality, integrity, and availability of information assets.
• Provide guidance on information security matters to ensure compliance with relevant regulations and standards.

Internal Project Management:

• Direct and manage internal security projects, ensuring timely delivery and alignment with strategic objectives.
• Collaborate with cross-functional teams to integrate cybersecurity considerations into projects.

Certifications Maintenance:

• Manage and maintain ISO27001 and Data Protection Trust Mark (DPTM) certifications, ensuring ongoing compliance with standards and regulations.
• Run internal audits to comply with ISO27001 and DPTM requirements.
• Lead efforts for certification renewals and audits.

Training and Awareness:

• Develop and deliver information and cyber security training programs to enhance employee awareness and compliance.
• Foster a culture of security throughout the organization.

Security Operations Management:

• Collaborate with IT operations team to ensure day-to-day security operations, incident response, and threat intelligence activities.
• Implement and manage security technologies to detect, prevent, and respond to security incidents.

Risk Management:

• Conduct regular risk assessments and ensure the development and implementation of risk mitigation strategies.
• Collaborate with business units to address security risks related to projects and operations.

Reporting and Communication:

• Provide regular reports on the status of information and cyber security initiatives to executive leadership.
• Communicate effectively with stakeholders regarding information and cyber security risks, incidents, and strategies.

Client, Partner, Vendor, and Third-Party Security:

• Evaluate and manage cybersecurity risks associated with vendors and third-party partnerships.
• Ensure compliance with security standards for external collaborations.

Key External Accountabilities

• Client Collaboration: Engage with clients to understand their cybersecurity needs, align with their compliance objectives, and communicate the importance of adhering to industry regulations and standards.
• Regulatory Alignment: Stay current with evolving cybersecurity regulations and standards, ensuring clients' practices meet compliance requirements (e.g.,IM8, DPTM, ISO 27001, NIST).
• Risk Management: Conduct comprehensive risk assessments, identifying vulnerabilities and compliance gaps, and collaborate with clients and partners to develop tailored risk mitigation plans.
• Architecture Review: Collaborate with clients and partners to review architectural designs, ensuring they are aligned with security compliance requirements and best practices. This includes assessing the security of software development, APIs, and CI/CD pipelines.
• Security Testing Management: Oversee and manage the Vulnerability Assessment and Penetration Testing (VAPT) and Source Code Review (SCR) process, coordinating assessments, analyzing results, and working with clients and partners to implement effective remediation strategies.
• Exception Review: Evaluate security exceptions and assess their potential risks, proposing appropriate mitigation strategies to clients while ensuring compliance.
• Compliance Audits: Lead compliance assessments for clients, ensuring alignment with industry standards and regulations, and fostering transparent communication throughout the process.
• Documentation and Reporting: Maintain accurate records of compliance activities, audit results, and remediation efforts, providing clients with comprehensive reports.
• Cross-Functional Collaboration: Collaborate with internal teams, including IT, Technology, Data, Value Assurance, and senior management, to ensure a cohesive approach to client cybersecurity compliance.

Qualifications

• Industry-recognized cybersecurity certifications such as CISSP, CISM, or CISA.
• Demonstrated experience (more than 10 years) in information and security compliance management, with proficiency in platforms such as Azure, AWS, and GCP.
• In-depth knowledge of information and cyber security frameworks, standards, and regulations (e.g., ISO27001, DPTM, NIST, IM8).
• Experience with ISO27001 and Data Protection Trust Mark (DPTM) certifications and audits.
• Demonstrated success in managing security operations and driving strategic information and cyber security initiatives.
• Proven leadership skills and ability to manage projects efficiently.
• Strong understanding of risk assessment methodologies, compliance auditing, VAPT procedures, and architectural design reviews.
• Experience in reviewing architecture designs for security compliance.
• Strong communication and interpersonal skills to establish rapport with clients and internal stakeholders.
• Proficiency in reviewing security exceptions and recommending effective solutions.
• Analytical mindset with meticulous attention to detail to identify compliance gaps and risks.
• Flexibility to adapt to evolving compliance regulations and technological advancements.

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI with minimum 8 years of relevant experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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.

We are a distributor of baby/children products with direct ecommerce sales channels. We are looking for an operations associate who can also drive to join us. Small team work enviroment.

Job scope:

1. Daily order processing (Pick & Pack)
2. Delivery to wholesale customers (~3 times per week)
3. General warehouse maintenace (Air-conditioned)

We are looking for a highly motivated individual to join our group which research focus is to establish and optimize the fission yeast Schizosaccharomyces pombe as a bioreactor for high-value protein production. The successful candidate will also support in maintaining lab infrastructure and research studies.

Requirements:

• BSc (Hons) / MSc in Biological Sciences or related fields
• Experience with mammalian cell culture and molecular cloning is required
• Highly motivated and able to work independently

Salary and benefits are commensurable to educational qualifications and working experience of the candidates. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their application letter and CV with at least two references to:

Dr ZHANG Dan

Principal Investigator

Temasek Life Sciences Laboratory Limited

Email: [email protected]

(Please note that only shortlisted candidates will be notified)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The ECE department is looking for candidates to conduct research on microarchitectures that support emerging computing paradigms (i.e., brain-inspired or quantum-inspired computing). The candidates will explore microarchitecture designs that support these emerging computing paradigms using a system-technology co-design approach. Tasks involve the exploration of various design aspects across the devices-circuits-systems-architectures-algorithm stacks.

Qualifications

1. Minimum a Bachelor degree in engineering
2. Preferable to have experience in microarchitecture design and use of EDA tools such as Cadence Virtuoso, HSPICE, etc. Experience in nonvolatile device technologies is a plus.
3. Open to Fixed Term Contract

COMPANY DESCRIPTION

Mediacorp is Singapores 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 processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies

The Centre for Quantum Technologies (CQT) is a research centre of excellence in Singapore. It brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore and also has staff at Nanyang Technological University. With some 180 researchers and students, it offers a friendly and international work environment.

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT) at the National University of Singapore (NUS) is offering a position for a postdoctoral fellow who will work on quantum cryptography, specifically multi-party quantum cryptography. Sample topics include

• quantum homomorphic encryption, quantum private information retrieval and secure delegated quantum computation;
• composable security for multi-party quantum cryptography;
• quantifying tradeoffs between security and noise in multi-party quantum cryptography;
• using quantum error correction for noise resilient quantum cryptography

Job Requirements

he candidate should have a strong track-record working on technical aspects of quantum information theory and cryptography. The candidate is expected to have a PhD in electrical engineering, computer science, physics or applied mathematics and a publication record in quantum information theory.

The candidate will work closely with Assoc. Prof. Marco Tomamichel . The position is funded by the QEP (Quantum Engineering Programme) project “Quantum homomorphic encryption: the Swiss army knife for the quantum internet?” and thus the research conducted must be within its scope, i.e., roughly around the sample topics mentioned above. The candidate is expected to use the postdoctoral stint to develop a strong research profile by conduction research on the above-mentioned topics.They are also expected to contribute to the group, for example by co-supervising undergraduate student projects and assisting with teaching.

For more information about the group's research interests, please visit the homepage at

http://www.marcotom.info/

Salary will be competitive and will be commensurate with the candidates work experience. The successful applicant will also receive generous travel funding.

Applicants should submit a detailed CV and the completed NUS Personal Data Consent for Job Applicants directly at our NUS Career Portal. Positions will initially be offered for one year, with the option to extend up to a total of three years. The start date is flexible. If shortlisted, applicants should also arrange for at least two to three letters of reference to be sent to the same address.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We invite applications for a Visiting Chair Professorship position in Sikh Studies. The endowed position, at the South Asian Studies Programme, Faculty of Arts and Social Sciences at the National University of Singapore, will enable the university to attract leading scholars in the field of Sikh Studies who have demonstrated excellence in teaching and research and established international recognition. Scholars who are based at NUS are also eligible to apply.

The appointed candidate will assume stewardship for teaching an undergraduate module in the field of Sikh Studies, contribute to broader curricular requirements at NUS, take part in activities such as departmental seminars, conferences, faculty meetings etc. as mutually agreed between NUS and the Visiting Professor. The Visiting Professor will deliver over the course of their appointment two public lectures organised by the Singapore Central Sikh Gurdwara Board (CSGB).

The successful candidate should be a senior scholar holding the rank of Professor or Associate Professor in a relevant discipline. He/She shouId have a strong international scholarly reputation, extensive experience of teaching and student supervision, a recognized research profile. He/She will be expected to contribute to the teaching, research and leadership in the department in which he/she is appointed.

The successful candidate will have a primary appointment in the South Asian Studies Programme in the NUS Faculty of Arts and Social Sciences, according to area of expertise. The Visiting Professorship title will be for a period of up to one year.

Application

The application dossier should include a letter of interest, and full curriculum vitae with publications list.

All applications should reach us no later than 29 February 2024, and should be submitted online via the NUS Careers Portal and addressed to:

Chair, CSGB Visiting Chair of Sikh Studies Search CommitteeFaculty of Arts and Social ScienceNational University of Singapore

For enquiries, please contact the Secretary of the Search Committee at [email protected]

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 looking for a passionate and self-motivated postdoctoral research fellow to join our multidisciplinary team working on the development of novel synthetic and bio-based polymers and composite materials for environmental sustainability applications. The successful candidate will be expected to be part of the research team under the supervision of the Principal Investigator (PI) to work on:

• Developing materials and technologies for resource recovery from seawater desalination processes.
• Conducting research and experiments for materials synthesis, fabrication, testing and characterization.
• Writing and preparing progress reports, manuscripts, and proposals related to the propjets.
• Assisting the PI in guiding junior researchers, graduate students, and undergraduate students.
• Assisting the PI in managing projects and laboratories and other ad hoc tasks that may be assigned.

Qualifications

• PhD degree in Materials, Chemistry, Chemical Engineering, Environmental Engineering, or any other related field, obtained from a reputable university.
• Two or more years of postdoctoral working experience as an independent researcher showing evidence of excellent research accomplishments and student supervision.
• Excellent research publication records in reputable international journals.
• Strong background in biomass and biobased polymers, hydrogels, and composite resins for adsorption and separation of metal ions.
• Excellent written and spoken English communication skills.
• Being a good team player across multiple disciplines.
• Prior experience in managing projects, laboratories, and research funding.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Deep Learning and Interpretable Graph Neural Networks.

The successful candidate is required to:

• Contribute to Deep Learning and Interpretable Graph Neural Networks
• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• PhD degree in Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

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.

Associate Professor or Assistant Professor in Biomedical Ethics

Centre for Biomedical Ethics, National University of Singapore

The Centre for Biomedical Ethics (CBmE) was established in September 2006 in the Yong Loo Lin School of Medicine through a generous gift by the Chen Su Lan Trust. We work to develop understanding, capacity for good judgement, and sound ethical practice in the context of healthcare provision, biomedical science and health-related policy development. CBmE, directed by Prof Julian Savulescu, is a thriving centre for learning, teaching and research relating to ethical and legal aspects of healthcare and biomedical sciences. We are responsible for the development and delivery of the Health Ethics, Law and Professionalism programme through all five years of the undergraduate medical curriculum in addition to the postgraduate and continuing professional education courses in bioethics. You can find out more about CBmE here: https://medicine.nus.edu.sg/cbme/. The goal of the new Director is to make CBmE a world leading Centre of medical ethics with a vibrant culture and strong international, particularly Asian, presence.

We are looking to appoint a talented, collegial, committed and enthusiastic bioethicist to join our faculty. We are particularly keen to develop our strengths in research and teaching in medical ethics generally with possible specialisms in reproductive ethics, genethics, neuroethics, AI ethics or linical and healthcare ethics (including work on health systems and public health). Our preference is for someone with sufficient experience and standing to be appointable at Associate Professor level to strengthen and support the development of our research portfolio and to play a leadership role as we enhance our undergraduate and postgraduate teaching. An Assistant Professor level appointment may be considered for an exceptional early career scholar with strong potential in the above-mentioned areas. We will consider medically qualified applicants who are eligible and keen to maintain some clinical responsibilities, but they must be able and willing to take on (proportionately) the full range of teaching and research responsibilities of the position.

This is an academic faculty appointment and will be made on a tenured or tenure track basis depending on experience and track record.

The main responsibilities of the position are:

• Undertake and publish research of international interest and standing in medical ethics and bioethics, working collaboratively to strengthen and support the development of CBmE’s research portfolio
• Contribute to undergraduate teaching on the Health ethics, Law and Professionalism (HeLP) programme
• Contribute to the postgraduate teaching of bioethics, including via course development and module co-ordination
• Provide academic support to other CBmE activities, for example by facilitating organization of international conferences, workshops, lectures contributing to responses to public consultations issued by the Ministry of Health.
• Serve on relevant university and policy committees (commensurate with rank) and participate collegially in the academic life of CBmE, the Yong Loo Lin School of Medicine and the National University of Singapore

Essential requirements for this position:

• A thorough grounding in ethics, including the development of normative arguments, to the level expected for a formal postgraduate qualification, preferably a PhD, in ethics or bioethics from a reputable university. (If you do not have a Master’s level qualification specifically in bioethics, ethics or moral philosophy, we need demonstrable evidence that you have an equivalent understanding acquired otherwise).
• A PhD in a field relevant to bioethics, eg philosophy, bioethics, sociology, anthropology, etc
• Demonstrated experience of university-level teaching in ethics or a closely related field, and evidence of commitment to excellence in education.
• Strong track record (relative to career opportunity) of good quality research and publication in bioethics and/or fields relevant to this position.
• For appointment at Associate Professor level, a track record in securing grant income will also be essential.
• Excellent written and spoken English.
• Strong organization and management skills.
• Demonstrated aptitude for collaborative as well as independent working.

Desirable

• A PhD degree or postgraduate medical qualification recognised by the Singapore Medical Council.
• Experience of broader aspects of academic work e.g. doctoral supervision, doctoral examination, peer reviewing, contributions to professional networks/organisations.

An attractive remuneration package, commensurate with the candidate’s qualifications and experience, will be offered with this position. For more information about NUS Medicine, please visit http://nusmedicine.nus.edu.sg

Interested parties should submit their letter of application, along with a full curriculum vitae, a soft copy of a recent paper or chapter (published or accepted for publication) online.

Application deadline: 22 March 2023

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

Research Assistant

The research officer will serve as the crucial link between the study and its participants, and be in charge of recruiting and interviewing participants for the study.

• Contribute in preparing data for analysis
• Understand the context of the research, organize and process complex data
• Create a set of codes or labels that recognize patterns and connections within the data
• Develop guide or codebook that documents the definitions and criteria for each code
• Continuously comparing data to refine and modify codes as the analysis progresses
• Contribute in preparing interview questions
• Innovate to improve processes within the study, particularly in recruitment and data collection
• Contribute in preparing findings for dissemination in multiple formats (e.g., powerpoint, infographics, video)
• Work collaboratively with other researchers or team members involved in the research project

Research Associate / Fellow

The Research Associate/ Fellow will perform a crucial role in managing the data-related tasks in the study.

• Provide leadership and expertise in the development and implementation of Research Data Management
• Oversee the data preparation progress, develop data coding protocols, and ensure data quality
• Conduct data analysis and communicate findings to stakeholders
• Prepare research reports and publications
• Undertake administrative tasks related to the research project
• Participate in research-related activities (seminars, workshops, etc.)
• Work collaboratively with other researchers or team members involved in the research project

Qualifications

Research Assistant

Minimum Education Qualification: A Bachelor’s degree and above in relevant areas

• Able to communicate effectively and build rapport with individuals from different backgrounds
• Able to work independently and autonomously with participants in recruitment and interviews
• Dynamic, resourceful, and able to work independently but also as a team.
• Proficiency in MS Office (particularly in Excel and Powerpoint)

Research Associate / Fellow

Research Associate- Minimum Education Qualification: A Master’s degree in relevant areas, degree by research or at least two years’ experience in large scale research projects

Research Fellow- Minimum Education Qualification: A PhD’s degree in relevant areas, degree by research or at least two years’ experience in large scale research projects

• Proficient in data-related tasks
• Excellent scientific writing skills
• Excellent in quantitative research methods (such as SEM) and proficient in the use of SPSS or other software such as R, Mplus, Stata.
• Excellent work planning and time management skills
• Excellent problem-solving skills
• Able to multi-task and work under pressure in a changing environment
• Good communication skills (e.g. inter-personal skills, ability to present findings to different stakeholders)
• Strong interest in research in the forensic and rehabilitation field
• Self-motivated: Able to work well both independently and as a member of a team
• Passion for high-impact research

Applicants are expected to address all requirements and job responsibilities.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects. The candidate will join the research team in the areas of Deep Learning and Interpretable Graph Neural Networks.

The successful candidate is required to:

• Contribute to Deep Learning and Interpretable Graph Neural Networks
• Contribute to Dialogue, Speech Signal Processing and Machine Learning algorithms.
• Contribute to Image Processing and Machine Learning algorithms.
• Contribute to the implementation of Automatic Speech Recognition framework and development of systems.
• Contribute to the implementation of machine learning framework and development of image processing systems.
• To advance the knowledge, to publish in leading journals and conferences.
• To prepare and meet the project deliveries and milestones.

Qualifications

• PhD degree in Electrical Engineering, Computer Science or Computer Engineering
• Strong programming skills in one of the programming languages: C / C++, Matlab, Python
• Have prior project related experience
• Good team player and be able to work independently.
• Strong organizational, writing and interpersonal communications.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.

Responsibilities:

• Conduct time and motion studies to identify touch time elements which represent part of manufacturing process across all customer's product models.
• Analyzes data and process to establish the cookbook and compute touch time and non-touch time of each product model through E2E process
• Investigate current processes and drive continuous improvements projects for quality, productivity, and cost effectiveness
• Ensure smooth process flow with high quality, high yield, low cost by working with the respective matric owners to track and achieve the overall committed targets of KPIs
• Work with Senior Engineers to set up process recipes of newly introduced processes or new process equipment or tools.
• Any other ad-hoc duties as assigned in accordance to business needs

Skills and Requirements:

• Diploma/Bachelor’s degree in industrial technology, Manufacturing Engineering Technology, or related field required.
• Minimum 2 years’ experience in manufacturing engineering or relevant field
• Prefer to have Kaizen/Lean manufacturing experiences.
• Excellent in analytical, organizational, and interpersonal skills
• Attention to detail and data accuracy
• Must be a team player and highly motivated.
• Flexibility and ability to change priorities.
• Ability to multi-task with strong sense of urgency; ability to meet deadlines.

OTHER INFO:

• Work Location: 452 Alexandra Road, Singapore 119961 [Near Labrador Park MRT]
• 
  Working Days / Hours: Normal Shift: 8am - 5.30pm or 8.30am - 6.00pm [Mondays to Fridays]

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Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).

At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

COMPANY OVERVIEW:
Celestica (NYSE, TSX: CLS) enables the world’s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud.

Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

Celestica would like to thank all applicants, however, only qualified applicants will be contacted.

Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.