We are looking to hire a highly motivated, experienced, Project Manager for the National Platform - Multi User Wafer Fab (MUWF).

Competencies

• Experienced in semiconductor fab infrastructure construction and outfitting projects
• At least 5 years of relevant experience as Project Manager.
• Good understanding of semiconductor fabrication processes, cleanroom standards, and equipment, including HVAC, electrical, and plumbing systems tailored for Fab environments.
• Strong written and verbal communication skills to convey project plan, progress and issues clearly to various stakeholders.
• Ability to work as a team various departments and stakeholders to achieve goals including providing guidance to external contractors.
• Knowledge of quality standards and practices to ensure that project meet required specifications.
• PMP (Project Management Professional) & LEED Certification will be an advantage

Responsibilities:

• To work with user stakeholders and ensure that their requirements for the cleanroom infrastructure are communicated timely to JTC, consultant and contractors
• To attend all designated project meetings with JTC, consultant and contractors to represent users’ interests and ensure ASTAR requirements are taken into consideration.
• To coordinate with ASTAR internal groups and be the interface with JTC, consultant and contractors for project related matters resolution including recording of all assets
• To manage the project with JTC, consultant and contractors to ensure fitting out progress according to agreed timeline and to escalate to management any significant delays.
• Close liaison with JTC and its consultant and contractors on tools (equipment) installation, supervise and coordinate the activities of the user stakeholders’ vendors and contractors.
• To ensure commissioning, certification, and validation processes for cleanrooms are completed by JTC and its consultant and contractors to ASTAR’s satisfaction.
• To conduct inspections of ASTAR tenanted areas with JTC, consultant, contractors to identify defects and see through till rectification before takeover of the facilities.
• To periodically update ASTAR management on outfitting project progress at key milestones

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

Applications are invited for a Research Associate position in the Centre for International Law (CIL), National University of Singapore. This is a one-year contractual position offered in connection with CIL’s expansion of its research on artificial intelligence and technology law. The objective of the position is to develop the research capabilities and knowledge of junior scholars by immersing them in a dynamic and supportive research environment where they can enhance their understanding of different areas of international law and policy.

The duties of the incumbent will involve:

• Assisting the AI and Technology Law Lead in research related to the programme’s ongoing projects in AI regulation, technology law, and related areas, including CIL’s role as an official observer in forums discussing the legal frameworks for AI and emerging technologies. This will involve examining the regulatory landscape for AI governance, ethical AI development, and the impact of AI on privacy, security, and human rights, while also exploring the intersections of AI, emerging technologies, and digital innovation, focusing on the development of legal frameworks to support responsible AI integration in global contexts.
• Assisting with the development and organisation of seminars and workshops organized by CIL.
• Conducting research and completing at least one publication for possible publication in a recognised journal at the termination of the position.

All research staff in CIL will have access to professional development opportunities (e.g., events, seminars, and training programmes) within NUS. They will also have opportunities to attend regional and international conferences, workshops and symposiums as well as other scholarly opportunities.

Qualifications

• An LLM or JD degree or equivalent experience;
• A solid foundation in AI and technology law, including knowledge of AI regulation, data protection, intellectual property, the ethical and legal challenges associated with emerging technologies, and an interest in cutting-edge and developing issues in AI Law governance;
• Excellent analytical, research and writing skills A high degree of self-motivation and strong organisational and computer skills;
• At least 2 years working experience.

Application Procedures

Interested applicants are invited to apply with the following supporting documents:

• A covering letter indicating experience, motivation for applying to work at CIL, and research interests;
• A detailed curriculum vitae (no more than three pages) setting out educational and work history;
• University transcripts;
• One sample of written work;
• Names and details of two referees.

The deadline for applications is 25 November 2024. Please note only shortlisted candidates will be notified.

More Information about CIL

CIL was established in 2009 as a university-level research institute at the National University of Singapore (NUS). It is located on the Bukit Timah Campus of NUS, together with the Faculty of Law and the Lee Kwan Yew School of Public Policy. As a university-level research institute, CIL engages in both legal and multi-disciplinary research on wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. More about CIL can be found here: https://cil.nus.edu.sg/

Additional job description

The Go-to-Market Operations (GTM) team ensures that Google's complex and ever-evolving Ads business runs smoothly. We are instrumental in setting the GTM strategy and guiding execution and operations against the strategy. You have to stay focused on aligning the highest-level company priorities with strong day-to-day operations, while also helping to evolve early-stage ideas into future-growth initiatives. Google has teams embedded in each of the major Ads business areas, and global teams that work across the business areas.

In this role, you will be part of Google's transformation team. You will be in multiple domains, drive problem-solving and thought leadership and gain exposure to a wide variety of teams and partners. You will play a critical role working across multiple country, regional and global counterparts to bring structure to ambiguity, build and run exceptional operational processes and shape global programs (and emerging solutions) so that they can have maximum impact in the Asia Pacific (APAC) region.

You will need to leverage your capabilities in collaboration, problem-solving, insight generation and operations management to develop clear and actionable strategies to accelerate growth of Google’s critical products, features and programs.

Qualifications

Job responsibilities

• Gather Asia Pacific (APAC) competitive and marketplace data and shape into actionable intelligence and insights that will support executive team discussions and decisions.
• Lead the problem structuring and projects to orchestrate Marketing Operations (MO) planning, Go-To-Market (GTM) strategies and activation programs in APAC. Shape and then advocate Global MO strategies and programs in APAC.
• Design and deploy operational infrastructure and processes to pivot from product first to MO first solutions.
• Contribute to strategy and lead deployment autonomously of emerging or business generation for products and solutions.
• Engage and influence executive stakeholders and cross-functional partners to obtain support for MO strategies or activation programs.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in management consulting, business operations, business strategy, investment banking, venture capital, private equity or corporate advisory, or 2 years of experience with an advanced degree.

Preferred qualifications

• Experience in influencing and managing senior-level and stakeholders.
• Knowledge of business, digital advertising, including YouTube.
• Ability to make decisions in a fluid and ambiguous environment.
• Ability to work and collaborate with various teams and work towards a common goal.
• Ability to convey complex issues clearly.
• Excellent problem-solving, project management, communication, written and presentation 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

The National University of Singapore invites applications for a Research Assistant for ‘Versatile and scalable single-cell preimplantation genetic testing for chromosomal aneuploidy and segmental imbalances with/without concurrent Mendelian mutation detection using third-generation single-molecule sequencing’ in the Department of Paediatrics, Yong Loo Lin School of Medicine.

Department of Paediatrics is committed to the advancement of paediatric scientific research in Singapore and the Southeast Asia region. The department's key research areas include cancer, genetics, immunology, metabolic diseases and cardiac health as well as studies on disease trends, health outcomes and neurocognitive development problems. More information on the department is available at https://medicine.nus.edu.sg/paed/.

The appointment will be made on a one year contract basis, with the possibility of extension.

Purpose of the post

The Research Assistant will be responsible for, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the study on time. The Research Assistant’s principal role will be to work in general practices such as wet-laboratory experiments, data collections and analysis, including related safety & health performances.

Main Duties and Responsibilities

The Research Assistant will report to the Principal Investigator to,

1. Oversee the general management of the project;
2. Undertake the day to day running of the project; Provide wet-laboratory and data analysis support to the project, e.g., development and troubleshooting of bioinformatics pipelines for application in next-generation sequencing data analysis, etc.;
3. Provide administrative research support, e.g., organizing meeting to maintain regular communication with members of the research team, safety & heath management of the research activities, etc.;
4. Conduct literature searches, e.g., using PubMed, for analysis and comparison of study results, as well as assisting in preparing both progress and final reports of the project;
5. Establishment and implementation of relevant safety & heath procedures related to study processes.
6. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
7. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. have a first degree with good results or holds a Bachelor degree in life sciences, biotechnology or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have knowledge of computer applications, e.g., Microsoft Office Suite (e.g., MS Excel, MS Words, MS PowerPoint);
4. have experiences in the molecular genetics’ areas of research, e.g., polymerase chain reaction, next-generation sequencing, etc.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Mr. Arnold Tan at [email protected], bearing subject heading ‘Research Assistant – Paediatrics/MGG (2024Oct)’.

Please submit your application, indicating the current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

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 Assistant 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 Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research

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.

Energy Studies Institute (ESI)

The Energy Studies Institute (ESI) is a research institute at the National University of Singapore seeking to advance the understanding of energy policy issues by conducting independent research and analysis. We are looking for a Research Fellow to join a multi-disciplinary team carrying out research projects on various energy issues that concern Singapore and the region.

The ESI has undertaken a research project on the “Study on Singapore’s Energy and Decarbonisation Pathways”. The study team seeks researchers with relevant experience and expertise in energy systems modelling and analysis, engineering, environmental sciences or other related quantitative research fields.

Job Description

• Conduct strong energy and environmental systems research that contributes to energy policy-making for Singapore on decarbonization pathways.
• Participate in engagements with stakeholders and external consultants, and supervise the research students recruited for the Study.
• Produce policy reports, documentation and publish articles in reputable academic journals.
• Cultivate networks, initiate collaborations and prepare funding proposals.
• Carry out administrative tasks, including organising seminars, workshops and conferences, and other duties assigned by the Head of Division/Principal Investigator.

Requirements

• Possess a PhD in energy and climate economics, energy systems modelling, environmental engineering or other related quantitative research fields.
• At least two years of experience in one of the above fields.
• A good understanding and interest in energy and environmental issues, such as energy supply, demand and trade, efficiency, energy and environment relations, and climate change.
• Relevant research experience in energy and decarbonisation technologies and associated techno-economic evaluations of these technologies.
• Relevant research experience in climate change, energy systems modelling, decomposition analysis, input-output analysis, life cycle analysis, and energy technology assessment.
• Relevant working and practical experience in industry or government agencies in the area of energy and environment in Singapore would be highly valuable.
• Track record of publications in reputable energy, environmental and/or systems modelling-related journals would be an advantage.
• Able to work independently and as part of a team.

Application Process

To apply for this position, please combine the following documents in one PDF and attach it under the CV column when submitting your application:

• Curriculum vitae.
• A cover letter of no more than 800 words explaining the applicant’s past research experience and aptitude concerning the research project.

Interested candidates, please submit your application with all the required documents. Only shortlisted applicants will be notified. Shortlisted applicants may be called for an interview in person or by Zoom. If you have not heard from us within three months, you should assume your application has not succeeded.

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

This posting is for two postdoctoral research positions in the exciting areas of electrochemical ammonia synthesis in the Xianbiao Fu group, which is affiliated with the Department of Materials Science and Engineering at the National University of Singapore (NUS).

The perspective postdoctoral positions are to develop:

1. Understanding the mechanism of Li-mediated NRR and Ca-mediated NRR
2. Exploring novel methods for nitrogen activation under mild conditions
3. Ammonia electro-oxidation and decomposition
4. Artificial synthesis of amino acids
5. Electrosynthesis of high-value fine chemicals
6. Electrocatalysis in organic systems
7. Precision synthesis of model (single crystal) catalysts and the design of novel electrochemical reactors

Extensive state-of-the-art infrastructure for materials synthesis, electrochemistry test and characterization is established at the Department of MSE.

The responsibilities of the postdoctoral fellow also encompass facilitating communication and information flow among groups working in the fields of catalysis and electrosynthesis. Additionally, the fellow will provide management support during the development of larger research proposals and contribute to initiatives aimed at sharing and advancing infrastructure for catalysis and electrosynthesis research.

Research Group Website: https://www.xianbiaofugroup.com/

Applicants should send those materials (CV, cover letter, and 3 representative papers) in the form of a PDF document. Please submit all application materials in English.

Qualifications

The applicants must hold PhD degree (or other equivalent degrees) in chemistry, chemical engineering, materials science or other relevant related fields. Experience with catalysis, electrochemistry, organic electrosynthesis, ammonia synthesis, organic synthesis and other related areas, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project. It is considered positive if the candidate can demonstrate experience in similar work environments.

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

This posting is for two postdoctoral research positions in the exciting areas of electrochemical ammonia synthesis in the Xianbiao Fu group, which is affiliated with the Department of Materials Science and Engineering at the National University of Singapore (NUS).

The perspective postdoctoral positions are to develop:

1. Understanding the mechanism of Li-mediated NRR and Ca-mediated NRR
2. Exploring novel methods for nitrogen activation under mild conditions
3. Ammonia electro-oxidation and decomposition
4. Artificial synthesis of amino acids
5. Electrosynthesis of high-value fine chemicals
6. Electrocatalysis in organic systems
7. Precision synthesis of model (single crystal) catalysts and the design of novel electrochemical reactors

Extensive state-of-the-art infrastructure for materials synthesis, electrochemistry test and characterization is established at the Department of MSE.

The responsibilities of the postdoctoral fellow also encompass facilitating communication and information flow among groups working in the fields of catalysis and electrosynthesis. Additionally, the fellow will provide management support during the development of larger research proposals and contribute to initiatives aimed at sharing and advancing infrastructure for catalysis and electrosynthesis research.

Research Group Website: https://www.xianbiaofugroup.com/

Applicants should send those materials (CV, cover letter, and 3 representative papers) in the form of a PDF document. Please submit all application materials in English.

Qualifications

The applicants must hold PhD degree (or other equivalent degrees) in chemistry, chemical engineering, materials science or other relevant related fields. Experience with catalysis, electrochemistry, organic electrosynthesis, ammonia synthesis, organic synthesis and other related areas, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered. Since cross disciplinary work is essential for the success of this project. It is considered positive if the candidate can demonstrate experience in similar work environments.

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 successful candidate will work with Professor XIA Yingcun on Statistical learning of complicated health data under a project on Tensor dimension reduction for multimodal data and its application in EEG analysis.

Qualifications

• Qualifications / Discipline: PhD in Statistics and Data Science.

• Skills: The successful candidate needs to have experience in large-scale data analysis, advanced probability and statistical techniques, and strong computer programming skills.

• Experience: 2 years of research experience in machine learning methods.

Overview

The Consortium for Clinical Research and Innovation, Singapore (CRIS) brings together six national R&D, clinical translation and service programmes to advance clinical research and innovation for Singapore, and establish important capabilities for a future-ready healthcare system.

The Business Entities under CRIS include:

• Singapore Clinical Research Institute (SCRI)
• National Health Innovation Centre (NHIC)
• Advanced Cell Therapy and Research Institute, Singapore (ACTRIS)
• Precision Health Research, Singapore (PRECISE)
• Singapore Translational Cancer Consortium (STCC)
• Cardiovascular Disease National Collaborative Enterprise (CADENCE)

Together, CRIS makes a positive difference to Singapore patients and researchers by ensuring that these clinical research platforms and programmes are at the cutting edge of capability development and innovation. If you are as passionate as we are in clinical trials and research, we want you!

ACTRIS

The Advanced Cell Therapy and Research Institute, Singapore (ACTRIS) was established to meet the increasing clinical demand of using cellular therapeutics to treat various life-threatening diseases. ACTRIS’ vision is to be the national and regional Centre of Excellence for discovery, process development and manufacturing of cellular-based therapeutics across the broad spectrum of immunotherapy and regenerative medicine, encompassing both investigational and approval products for the local market. We also provide value-added services such as workforce training, regulatory facilitation and ancillary material standardization, pertaining to delivery of cellular therapy to patients.

What you will be working on

Manage Facility:

• Ensuring that the facility is in compliance with GMP regulations. This includes developing and implementing procedures and processes, maintaining accurate and up to date records and documentation, conducting regular audits to ensure compliance, reporting incidences and preparing reports and data as required by management or to regulatory authorities.
• Assist to manage equipment- and system-related investigations, CAPAs, deviations change controls and to review records.
• Scheduling routine maintenance with service vendors for maintenance of the facility and lab & production equipment to be done on time, including preparing User Request Specification (URS), obtaining quote and following up on PO issuance.
• Ensuring proper & timely maintenance, calibration and operation of all equipment, facility M&E, safety and security equipment such as HVAC, CCTVs, access control, etc.
• Manage HVAC systems and configuration within the GMP environment.
• Managing contractors and stakeholders to ensure regulatory & safety requirements, operating standards, established protocols and the service level requirements of integrated facilities management are met.
• Partner with key stakeholders to meet user requirements and optimal functioning of all laboratory & production and building spaces.
• Responsible for managing the Building Management System, Environment Monitoring System and the facility SMS alarm including responding to environmental deviations and alarms promptly, investigating root causes, and supporting implementation of corrective actions to maintain compliance. Assist with Facilities / Engineering initiatives with cross-functional team leaders, following cGMP regulations and internal procedures in accordance with applicable regulatory standards.

Maintain workplace safety & health (WSH):

• Adhere with WSH management system and risk management plan, conducting regular safety inspections, addressing safety concerns, and coordinating with security personnel to prevent unauthorized access or other security threats.
• Evaluate WSH non-compliance, unsafe work conditions and practices to identify WSH performance gaps.
• Manage risk in the workplace, recommend, implement actions, and review effectiveness of measures to improve WSH performance and control risks.
• Conduct incident investigations and make recommendations to address root cause of incidents.
• Managing any other operational related duties/projects as assigned.

What we are looking for

1. EDUCATION, TRAINING

· Diploma equivalent Facilities Related, Engineering, Occupational Safety and Health or related fields

2. EXPERIENCE

· At least 5 years relevant working experience in managing Good Manufacturing Practice (GMP) facilities/ cleanrooms and BMS (Building Management System).

· Good knowledge of Mechanical and Electrical systems supporting GMP environment.

· Fire Safety and biosafety related knowledge / experience will have an added advantage.

· Effective stakeholder management and good communication skills.

· Good team player with positive work attitude.

· Ability to multi-task and work independently

What you need to know

Successful candidate will be offered a 3-year contract, renewable. We regret that only shortlisted candidates will be contacted. For more information about CRIS and the Business Entities, visit our websites below:

• CRIS – https://www.cris.sg
• SCRI – https://www.scri.edu.sg
• NHIC – https://www.nhic.sg
• ACTRIS – https://www.actris.sg
• PRECISE – https://www.npm.sg
• STCC – https://www.stcc.sg
• CADENCE – https://www.cris.sg/our-programmes/cadence/

Essential Duties and Responsibilities:

• Demonstrates and promotes the company vision
• Regular attendance and punctuality
• Applies GMP/GLP in all areas of responsibility, as appropriate
• Learns to conduct routine analyses in compliance with applicable methods, protocols, SOPs, and regulatory agency guidelines
• Learns how to document work and maintain study documentation and laboratory records
• Learns how to use laboratory equipment and software appropriate for assigned tasks
• Attends and participates in project meetings
• Learns to perform peer review of data
• Learns to plan assigned workload on a daily basis and effectively schedule multiple assignments
• Contributes to a cohesive team environment
• Plans individual workload in coordination with team members
• Maintains a clean and safe laboratory work environment
• Conducts all activities in a safe and efficient manner
• Performs other duties as assigned

Job Requirement:

• Candidate must possess at least Diploma in Food Science, Chemistry, Science or equivalent
• Interacts with operational personnel, scientific personnel, and department management
• May work with potentially hazardous materials
• Overtime and weekend work as required
• Work requires some standing and sitting for long periods of time, including working within a laboratory hood and standing at a bench top
• Work requires use of PPE (personal protective equipment)
• Will be exposed to potential food allergens
• Entry level are welcome

Neo Performance Materials is a leading supplier of advanced materials used in a wide range of technology applications across many sectors. With our state-of-the-art processing and manufacturing facilities we are able to produce some of the highest performance rare earth and rare metal based engineered materials in the world.

Our business is organized along three business segments: Neo Chemicals and Oxides, Neo Magnequench, and Neo Rare Metals. Through these segments, we are engaged in the production, processing and development of rare earth and zirconium-based engineered materials; magnetic powders; and rare metals including gallium, indium, rhenium, tantalum and niobium. https://www.neomaterials.com/

Associate Scientist (Synthesis)

Our Singapore Research & Development facility is currently searching for an Associate Scientist (Synthesis) with outstanding credentials to support NEO Chemicals and Oxides division’s aggressive growth strategy in the development and application of new generation materials for a wide range of industrial markets such as automotive, consumer electronics, water purification and healthcare.

The selected candidate will participate in several projects to support the above-mentioned sectors. This position will be offered to the individual who has the appropriate background and is able to combine scientific, organizational, communication and interpersonal skills in order to timely deliver commercially successful products.

Materials research focused, specific accountabilities will be to:

• Carry out experiments to support the development of new and technically innovative solutions which would positively impact the production
• Perform chemical and physical characterization of synthesized materials according to procedures and protocol
• Assist the scale-up of materials from bench to pilot-plant and assist in their implementation to full production
• Prepare quality and detailed technical reports and their effective communication to management through oral or written presentations
• Promote a laboratory culture of ‘safety first’ at all times, to be active in safety meetings and continue NEO ’s excellence in safety performance

Key qualifications and experience required for this position include:

• Preferably at least 2 years of relevant work experience with good Bachelor’s degree or MSc in Chemistry, Materials Science, or Chemical Engineering. Fresh graduates are welcome to apply.
• Prior work experience in inorganic chemistry is preferred
• Self-motivated and able to manage multiple priorities
• Good attention to detail and solution oriented, with the ability to be both strategic and ‘hands on’ to overcome challenges in an effective and timely manner
• Excellent written/oral communication and interpersonal skills, with the ability to effectively communicate scientific concepts to internal and external audiences
• Ability to speak Mandarin in a scientific environment is an added advantage
• Applicants who have applied previously for this role need not apply

Please note that only shortlisted applicants will be notified.

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

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

· 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.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with public sector and industry partners. EDDC now has an opening and is seeking to recruit a highly motivated and experienced leader for the Computational Sciences group. The successful candidate will be leading the computational biology and information system groups and providing strategic guidance to the discovery leadership teams and the EDDC management team in leveraging the power of artificial intelligence (AI) and machine learning (ML) to accelerate the drug discovery and development processes, including novel target identification.

Responsibilities:

• Manage a team of software engineers, data engineers, computational biology, bioinformatic, IT professionals, and data scientists to support and contribute to all the discovery projects.
• Drive the implementation of cross-functional data integration & workflow automation aimed at fostering data-driven and AI-driven approaches to drug discovery and validation.
• Lead strategic planning and execution of artificial intelligence (AI)/machine learning (ML) initiatives, with a focus to support AI-augmented drug design and development, addressing 'undruggable’ targets, and expediting processes.
• Cultivate and sustain robust collaborative relationships with various functions within the Discovery unit and across relevant divisions within EDDC.
• Establish, lead and actively contribute to key partnerships with academic and industrial entities within Singapore or globally to enable the smooth access of patient-derived data, support the novel target discovery and evaluation efforts.
• Oversee all IT operation infrastructure, propose strategic solutions and recommend new systems and software.
• Manage all technology systems and applications to support EDDC's goals and objectives

Requirements:

• A Ph.D. in computer science, data sciences, bioinformatics, computational biology, or related fields.
• An MBA is an added advantage.
• A minimum of ten years of leadership experience in the pharma/biotech industry, with a strong background in the application of computational biology and AI/ML to research, translational and clinical programs.
• Domain knowledge in at least one therapeutic area such as oncology, immunology, and inflammation.
• Proven track record of developing and launching industry-grade computational biology software platforms, with demonstrated Key Performance Indicators (KPIs) and pipeline impact.
• Hands-on experience with the AWS cloud platform and relevant certifications is preferred.
• Excellent executive communication, collaboration and leadership skills are essential.
• Sound working knowledge of IT operation, systems, and developments.

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.

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

• PhDin ML, NLP, speech and spoken language processing and multi-modal AI with at least 5 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
• 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 Summary:

The HPC Storage Engineer will be responsible for managing the storage infrastructure within HPC environments. This role involves monitoring storage performance and optimizing through tuning and troubleshooting. Successful candidate with demonstrated experience in the HPC storage field may be considered for a Senior position.

Responsibilities:

Storage administration and optimization

• Work with Managed Services teams in managing and administering the storage infrastructure.
• Ensure storage reliability and availability within HPC system.
• Provide support on technical queries and troubleshooting storage-related issues.
• Implement best practices for storage monitoring and reporting.
• Monitor utilization rate, allocation and analyse the report for capacity planning.
• Conduct storage performance test and analysis.
• Collaborate with other teams for enhancement of storage performance and scalability.
• Develop and maintain comprehensive documentation for HPC storage infrastructure and processes.

Data management

• Create and execute a data placement strategy to optimize storage performance.
• Maintain data protection and disaster recovery strategies.
• Implement and maintain security measures to protect data integrity and prevent unauthorized access.

Designing and planning

• Assess future requirements and plan for storage expansion.
• Assist in the designing of future HPC system acquisition.
• Explore and evaluate emerging solutions in HPC storage technology.

Qualifications:

• Degree in a Computer Science, Engineering, IT or other relevant areas.
• At least 3 years of experience in managing storage infrastructure.
• Proficient in UNIX/Linux environments and command line interface (CLI).
• Good knowledge of HPC storage principles.
• Experience in managing parallel file system (Lustre, GPFS, BeeGFS).
• Good knowledge of RDMA-based interconnect (InfiniBand, RoCE).
• Demonstrate ability to analyse complex issues and develop effective solutions.
• To be considered for Senior position, candidates should have at least 5 years of experience in roles that involve the deployment of HPC storage infrastructure, covering key areas such as designing, installing, configuring, documentation and providing admin/user training.

Summarized Purpose:

• Provides support to investigator sites, monitors, department, business unit or function through communication of information, training sites and documentation of services pertaining to clinical trials. Supports the overall performance, education and training of the sites on a study level to ensure the execution of protocols are completed accurately and on time. Uses the tools provided to answer all questions, takes orders and ensure clean data at the earliest point in time.

Essential Functions:

• Acts as the point of contact for sites, ensuring that questions, material orders and request for information are responded and documented in an accurate and timely manner. Ensures that the sites are properly trained in aspects of the protocol (following the study flow sheet) relating to the department. Provides guidance on pre-analytical aspects of the study to ensure smooth flow of data to and from the site.
• Triages calls where necessary to appropriate individual/departments and follow through to resolution.
• Resolves queries so that efficient and timely sample analysis is undertaken by the laboratory so report turn around time is met. Continually reviews exceptions to resolve so that the data is cleaned within the agreed timelines.
• Notifies the sites and all necessary contacts via telephone/fax of all relevant critical/voice alert values/ study specific requirements.
• Places all calls to the sites delivering sponsor alert, voice alert values (VAV) and any other critical values. Answers incoming phone calls, resolves different types of exceptions within assigned timelines.
• Monitors and escalates site issues through the appropriate departments/people e.g. project management to resolve and report as soon as possible. Ensures that all site issues are communicated and followed up to resolution, primarily to site and monitor. Reviews site performance metrics to educate where needed or to report back to monitor or sponsor. Informs site of the results or reasoning not to proceed.
• Follows the specifications and scope of work to evaluate requests for any additional test(s) (test performed in protocol) to be added to a sample. Evaluates the request for out of protocol testing following Scope of work for study. Facilitates requests to the appropriate person.
• Coordinates and resolves issues with samples at time of scanning to have the samples in the database and reported as soon as possible.

Job Qualification

Education and Experience: 
High / Secondary school diploma or equivalent and relevant formal academic / vocational qualification

Knowledge, Skills and Abilities:

• Mandate to be fluent in Japanese and English langaugese (Speaking, Reading, Writing)
• Accurate data entry skills with intermediate computer skills including Microsoft Office
• Strong analytical, interpersonal and time management skills
• Strong client and phone service skills
• Excellent verbal communications and customer service skills
• Critical thinking and problem solving skills to support quality decision making
• Good written and oral communication skills
• Ability to work in a collaborative team environment

Training will be provided. No prior work experience needed.

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

Assistant Professor, Shengxiao (Alex) Li (Department of Architecture) is looking for a full-time research assistant/engineer to join in January 2025 and work on projects related to migration of older people and sustainable governance. Potential projects include using LinkedIn data to examine employment networks of sustainability-related employees and their impacts on governance outcomes, and migration networks of older Americans and potential drivers. The research assistant/engineer will meet with Alex regularly and report directly to Alex. Tasks of the research assistant/engineer include but not limited to reviewing literature; collecting, cleaning, and analyzing data sets; preparing research reports and funding applications; and fitting models using network analysis or big data analytics. They will also have the opportunity to work with a group of scholars from various disciplines, including but not limited to economics, sociology and engineering, and co-author on academic papers (depending on the contributions of the person hired for this position)

The position is a one-year appointment and might be renewable based on the performance and career plan of the hired person.

To apply for this position, please include:

• A cover letter briefing your interests in this position and how your past experience fit with this position;
• Your current CV detailing your educational background, skills (language and research methods), and relevant working experience;
• A writing sample.

Alex will review the materials from early November and will conduct interviews and make a decision by the middle of November.

Qualifications

Requirements:

• A bachelor’s or master’s degree in civil engineering, data science, computational social science, or other relevant disciplines by January of 2025.
• Good time management and multi-tasking skills;
• Passion/interest in one or more topics above;
• Excellent spoken and written English;
• Highly motived and with independent working ability;
• Statistical knowledge and command at least one of the following programming languages: R/Stata/Python.
• Experience of working on literature review and data analysis.
• Experience of using network analysis methods;
• Experience of using large-scale data sets, like smartphone data, smart card data, or large-scale administrative data;

Preferred skills:

• Excellent communication and experience in interviewing in English;
• Experience in interdisciplinary collaborations and research.

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 Singapore Population Health Studies (SPHS) is a population-based health research initiative at the Saw Swee Hock School of Public Health, National University of Singapore. SPHS aims to investigate the interactions between lifestyle, physiological, genetic and other omics biomarkers and their impact on health and longevity. In addition, SPHS will serve as a platform to monitor risk factors in the population and gain insight into determinants of health-related behaviours. For this purpose, SPHS includes over 50,000 adult Singaporeans and long-term residents from three major ethnic groups (Chinese, Malay, and Indian), for a better understanding of disease aetiology in urban Asian settings, and the development of improved preventive and therapeutic measures for Singapore and other Asian populations.

JOB PURPOSE
This role primarily involves the recruitment and data collection activities of the research projects under the SPHS unit that will contribute towards the building of a population health research biobank for Singapore.

Duties & Responsibilities

1. Take consent from research participants before performing any research procedures
2. Perform basic assessments that include measurements of blood pressure and visual acuity, fundus photography etc. and enter data into the correct electronic form via a tablet. Keep to a turnaround time of 8-10min per participant.
3. Perform spirometry and keep to a turnaround time of 10-15min per participant.
4. Minimise the waiting of participants by directing them to next most available test station.
5. Encourage participants to perform procedures to meet the required standards to ensure that the data output is good to use for research.
6. Perform regular cleaning and maintenance of equipment.
7. Account for the inventory levels of consumables.
8. Conduct/undergo in periodic re-assessment of techniques to maintain consistency of image and data acquisition for standardisation
9. Ensure the safety and protect the privacy of research participants by adhering to best practices.
10. Perform data entry and data checks.
11. Any other responsibilities as required by future research projects.

Qualifications

1. A background in biomedical science, optometry or nursing is preferred
2. Diploma, NITEC or degree qualifications with a good command of spoken English and Mandarin/Malay (for interacting with non English speaking participants)
3. Work hours are: 7.45am to 6.15pm on Mon, Tue, Thu and Fri; and 7.45am to 3.15pm on alternate Sat.
4. Comfortable with using a tablet to retrieve and update records.

WHAT ARE WE LOOKING FOR
We are looking for a teamplayer capable of self-learning and working in a fast-paced environment, and who is service-oriented and good at time management. This job is for you if you enjoy working in a research setting and has a keen interest in helping to build a national biobank for research.

FUJIFILM Business Innovation is a global leader committed to continuously deliver innovations to customers’ businesses worldwide, for creating innovative and fulfilling workplaces by effectively adopting information and knowledge through digital transformation (DX). We have pioneered numerous technologies and accumulated expertise since our establishment in 1962, to build an environment that encourages the use of one’s creativity to maximize organizational strengths. Our portfolio includes conducting R&D, manufacturing and sales of world-class workflow solutions, IT services, and printing equipment such as digital multifunction printers (MFPs). We also offer business process outsourcing (BPO) services as well as marketing and implementation support of Enterprise Resource Planning (ERP) systems.

On 1 April 2021, we have changed the company name from Fuji Xerox to FUJIFILM Business Innovation. More than just a name change, it embodies our commitment to continue as a company that always pursues business innovation.

PURPOSE:

We are looking for a suitable candidate to join our FBSG Marketing team to collaborate cross-functionally with multiple departments to solve problems, drive change, and acts as a Business Partner role to support business unit leaders, senior management and senior leaders stakeholders.

RESPONSIBILITIES & TASKS:

• Oversight of all reporting, forecasting and planning, analysing financials data across the services & solutions portfolio and ensuring accurate and timely financial information is provided.
• Provide monthly, quarterly and ad hoc reporting and variance analyses across services & solutions portfolio.
• Guide the finance team toward completing closing and variance analysis in an accurate, consistent and timely fashion.
• Collaborate cross-functionally with multiple departments to solve problems, drive change, and achieve results.
• Participate in business development by identifying business opportunity, communicate action plans across departments execution.
• Provide comprehensive support in business case simulation and potential business opportunity assessment.
• Analyse the outcome and provide the insights to different stakeholders and senior leadership for decision making.
• Business Partner role to support business unit leaders, senior management and senior leaders stakeholders

What are we looking for?

• Strong presentation, communication, interpersonal and analytic skills
• Proactive attitude, great multi-tasking abilities and attention to detail
• Advanced PowerPoint and Excel skills for simulation and financial modelling
• Demonstrated ability to conceptualize and create strategic communication documents
• Resilient and independent worker

Only shortlisted candidates will receive a response. Therefore, if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

Rachel Heng

EA License No: 11C5502

Registration No: R23115318

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 team of Prof Loh Kian Ping invites application for a postdoctoral fellow/research fellow working in the theory and computational methods of condensed matter physics and two dimensional (2-D) materials devices. Our research focuses on investigating topological physics in quantum materials, with the aim of controlling potentially exotic properties such as anomalous Hall effect, non-linear Hall effect, magnetism, metal-insulator transitions, and topological properties.

Requirements

• The candidate should have experience working in clean room and familiar with DFT simulation, molecular dynamic simulation, transition state calculation.
• The candidate should have a strong track record in 2-D materials physics, publishing in the area of quantum topology physics concerning 2-D materials, or in the spintronics (spin Hall effect) of 2-D materials.

An attractive renumeration package will be offered for suitable candidate (research fellow) with a strong record in 2-D condensed matter physics and who has good publication record.

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 Research Assistant for CAR-T cell manufacturing program in the Immune Cell Engineering Laboratory of the National University of Singapore. Our group is committed to delivering transformative and novel cellular therapies for patients with cancer. We have a strong track record of successful cell manufacturing for clinical trials in accordance with regulatory guidelines. Appointments will be made on a 2-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The role of the research assistant is to support immune cell manufacturing, including CAR-T cells, for several ongoing clinical trials. We are seeking highly motivated, conscientious and meticulous individuals to join our experienced team, be trained in Good Manufacturing Practices (GMP) and be involved in research aimed at improving the treatment of patients with cancer.

Main Duties and Responsibilities

1. work in a (GMP)-certified facility manufacturing immune cells for clinical use, including CAR-T cells.
2. apply various techniques in tissue culture, molecular biology, flow cytometry under rigorous GMP conditions, for which training will be provided.
3. work effectively within a team of other skilled cell engineers
4. be able to practice meticulous bookkeeping and documentation in accordance with regulatory requirements
5. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a Bachelor of Science degree in Biomedical Sciences (those with no experience are welcome to apply)
2. Have experience in general laboratory techniques, especially aseptic tissue culture techniques
3. Be able to work independently and in a team, have an investigative nature with great attention to detail
4. Have knowledge of computer applications, e.g. MS word, MS excel

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Bernice Oh at [email protected]

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

We regret that only shortlisted candidates will be notified.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on a research project where you will be part of the research team to develop yeast and fungi for food ingredient and biochemical production. The specific goals are:

1. Metabolic engineering of Yarrowia and Candida yeasts for organic acid production
2. Design and optimization of fermentation method in 10L and 100L stirred tank vessels

Key Responsibilities:

• Fulfill the primary responsibilities within the project:
  i. Deliver structured presentations of research plans and findings every two weeks.
  ii. Provide guidance and mentorship to junior research engineers and undergraduate students working in the same research field.
  iii. Prepare scientific manuscripts for reporting and potential publication (as first or co-author).
• Prepare writeup for new research grant application
• Support undergraduate lab class conduct where applied research outcomes are utilized in undergraduate teaching.
• Conduct thorough risk assessments and ensure adherence to work, safety, and health regulations for all research activities.
• Coordinate procurement activities with licensed vendors for research items.

Job Requirements:

• Have a relevant PhD degree in Biochemistry or Biochemical Engineering
• Have at least 1 year experience with the metabolic engineering of Yarrowia and Candida yeasts, including foreign gene expression and gene deletion.
• Have at least 1 year experience with the use of bioreactor, HPLC-MS and GC-MS.
• Prior experience in the genetic manipulation of filamentous fungi cell line engineering is advantageous.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative, take ownership of work, and able to cope with failures