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.

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/

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.

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.

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

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/

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

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Position – Research Assistant in Cell Biology and Technology Unit

Job Scope:

· Tool generation – expression vector construction and molecular cloning, protein expression, stable cell lines development

· Drug screening – ELISA, FACS, cell-based functional assay, confocal microscopy, SDS-PAGE, Western Blotting, qPCR etc.

· Cell culture – Suspension cell culture and adherent cell culture, 3D cell culture models, such as spheroid, organoid, organ slice and organ-on-a-chip

· Lab management

Requirements:

· Degree in Biomedical Science/Biotechnology/Molecular Biotechnology or a related field with at least 1-2 years of related working experience.

· Familiar with basic laboratory procedures especially mammalian cell culture.

· Experience in Molecular Biology, Protein Chemistry, 3D Cell culture, Cell engineering, Flow Cytometry, Confocal Microscopy, NGS analysis and other relevant skills will be an added advantage.

· In vivo sample handling experience is plus but not necessary.

· Programming skill ,for example Python, is also plus.

· Working experience in either industry or academia is welcome.

Fresh graduates are welcome to apply.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: [email protected]

For more information regarding our Company, you may refer to our website at:
http://chugai-pharmabody.com/

We regret that only short-listed 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.

About Asian Institute of Digital Finance

The Asian Institute of Digital Finance (AIDF) is a university-level institute in NUS, jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a Fintech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future Fintech researchers and practitioners in Asia.

We invite applications for the position of Research Assistant who will be housed in the Department of Computer Science, School of Computing (SoC) under Principal Investigator, Professor Liang Zhenkai for research grant ref: NRF/UP#1, titled: “Security and identity management of digital infrastructure for FinTech services.”

We are 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 wellbeing 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.

Qualifications

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

• Security
• Systems and Networking

Job requirements:

• Bachelor’s degree with at least 2 years’ relevant work experience;
• Programming skills in C/C++.
• Experience in research.
• Experiences with the following areas will be preferredProgram analysis
  System/OS kernel development
  Audit log analysis
  Trusted hardware programming

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 the following full-time position in the Saw Swee Hock School of Public Health:

Job Title: Research Assistant for Participatory Action Research Project Implementation

Project: Seniors Action for Greater Empowerment (SAGE) Programme

Overview: The Saw Swee Hock School of Public Health (SSHSPH), NUS, is seeking a Research Assistant with relevant experience to support the research and implementation of the Seniors Action for Greater Empowerment (SAGE) programme. SAGE aims to support initiatives that promote well-being and resilient ageing for seniors in Singapore, particularly focusing on lower socioeconomic communities. Working together with government, non-profit, and grassroots organizations, SAGE will empower older adults to actively participate in community development, fostering mental, social, and physical well-being. The chosen candidate will undertake a support role in running formative research for SAGE, including Participatory Action Research (PAR), the development and validation of instruments and approaches, and evaluation of community capacities. Following this, the candidate will be involved in implementing and evaluating the identified SAGE programmes planned together with the seniors.

Responsibilities:

• Conduct quantitative data analysis, from descriptive to predictive analytics, using software such as Stata, R, or SPSS.
• Assist in mixed-methods research and program evaluations.
• Collaborate with community partners and stakeholders to ensure effective project implementation.
• Manage project administration, including tracking milestones, budgets, and service contracts with key partners.
• Write progress reports for donors, synthesizing inputs from the team.
• Coordinate and organize community events.
• Apply creative problem-solving to address challenges in a fast-paced implementation environment.
• Ensure smooth day-to-day operations of the SAGE programme.

Qualifications

• Degree with training in public health, social sciences, health communication
• Trained in conducting quantitative data analysis and/or mixed-methods research
• Familiarity or experience of working with older people

Desirable Skills:

• Experience or knowledge of program evaluation and qualitative research
• Experience of working with community-based organisations
• Experience in working with survey companies and data collection teams to coordinate longitudinal data collection
• Strong interpersonal skills for negotiating with project partners and managing deliverables.
• Proficiency in project management, budget tracking

Team Environment: The selected candidate will join an active and supportive team focused on collaborative problem-solving and theory-driven, practical outputs that aim to improve quality of life at older ages and community resilience. This position reports to Dr. Zoe Jane-Lara Hildon and Dr Su Aw and is embedded within a dynamic research environment.

Application Process: Interested applicants should submit their CV and a cover letter outlining their relevant experience and skills.

We look forward to welcoming a new team member who is passionate about community health and participatory action 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 successful candidate will work with Prof Ariando with the main responsibility to develop novel material systems, produce thin-films and devices, and perform studies on various physical properties on the developed material systems using techniques such as quantum transport measurements at ambient and extreme conditions.

Qualifications

Qualifications / Discipline: PhD in Physics/Electrical Engineering/Materials Science

Skills & Experience:

• Demonstrated knowledge and technical skill in thin film processes. Experience in using laser ablation and sputtering techniques is highly desirable.
• Demonstrate knowledge and technical skill in device fabrication and characterization processes in clean-room environment.
• Demonstrated knowledge and technical skill in low temperature quantum transport measurements under various extreme external biases including but not limited to magnetic field, electric field, and pressure.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Fellow will work with the PI to research on 3D computer vision and publish in top computer vision and machine learning conferences. The research fellow shall also guide the PhD students in the research group towards on their research.

Job Requirements

• PhD degree in Computer Science or other closely related disciplines
• Excellent knowledge on 3D Computer Vision: Neural Fields, Point Cloud Processing, Scene Understanding, Human/Animal Pose and Shape Estimation
• Strong publication record in the top computer vision and/or machine learning conferences (CVPR/ICCV/ECCV/ICML/NeurIPS/ICLR)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow will research on statistical learning problems.

Qualifications

• PhD in computer science or a related area
• Strong mathematical ability

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 job provides you with the opportunity to gain experience in quantitative research. You will be able to hone your skills in handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your technical skills as data analyst or researcher. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from January 2025 on a one-year renewable contract.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, diligently, and learn.

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 Dr. Tian Chong on organic synthesis under a project on SYNTHESIS OF PEPTIDE ROTAXANES THROUGH ACTIVE TEMPLATE STRATEGY.

The main responsibilities of the position include:

• Research tasks (75%): to carry out research to design and synthesize rotaxanes via novel active template strategies.
• Laboratory safety/ordering (25%): to aid in ordering and maintaining lab supplies, create and review standard operating procedures and risk assessments, assemble reagents, chemicals and media that are needed for experiments.

Qualifications

Qualifications / Discipline:

Bachelor of Science required with major in Pharmaceutical sciences or Chemistry. Candidate with strong background in organic synthesis and excellent record of publication is preferred.

Skills:

1. Have an excellent understanding of chemistry.
2. Have expertise in multi-step synthesis.
3. Communicate well in English in writing and in oral and visual presentations.
4. Show an ability to work supportively in a laboratory environment

Experience:

Candidate with more than one-year experience in organic synthesis is preferred.

Job Description:

• Applied Data Science on Test Yield Analysis & Improvement OpportunityProduct Test Yield and Key Test Parameters Analysis in relationship & correlation to Fab WET data or Wafer Probe Die Sort Data
  Develop a predictive model of product test yield based on available key Fab, Sort monitoring data
  Leveraging on advance data analytics and Artificial Intelligence technique to enable speed of detection, prevention and prediction
  Collaborate with respective product owner PE to drive yield improvement opportunity based on big data analysis or specific excursion with timely detection of abnormality
  
• Quality Monitoring Data & Customer Complaint Analysis in relations to Test Information & Manufacturing Process DataAnalyze real-time monitoring data abnormality (Maverick) detection & prevention measures effectiveness for applicable semiconductor manufacturing processes.
  Leverage predictive analytics to trigger interventions that reduce the risk of yield loss or quality issues.
  Collaborate with respective product owner PE to drive out-quality improvement opportunity based on big data analysis & predictive quality risk
  
• Collaborate with Manufacturing Site to Drive Data-Driven Process Optimization for Yield and Quality ImprovementWork closely with on-site Product, Test or Process engineers to analyze production data, identify trends, and optimize manufacturing processes.
  Use data science techniques to reduce variability and improve overall product quality.
  Leverage on machine learning models application opportunity in Fab, Die probe, Die-to-Reel, Assembly, Test, Tape & Reel process for total continuous improvement & innovation.
  
• Failure Mode Analysis & Customer Risk/RMA MitigationEnhance product quality & reliability by developing predictive models that assess the potential quality risk to customers. Use insights from these models for disposition decision making to ensure compliance with quality standards.
  Collaborate with quality, process, product engineer on in-depth failure mode and effects analysis (FMEA) using historical and real-time data to predict and mitigate potential defects.
  Collaborate with manufacturing teams to implement corrective actions based on predictive insights.
  
• Additional Responsibilities:Track wafer and package yield trends on a daily basis
  Leverage 2DID and Die Level Traceability to perform novel analyses and move yield/quality issues upstream to wafer level whenever possible
  Identify opportunities for cost reduction
  Generate analyses aimed at highlighting device sensitivities and interactions between design/fab/assy/test
  Leverage all available test points to detect anomalies, shifts, drifts, outliers, maverick events as close to the Point of Occurrence as possible
  Identify opportunities for cost reduction
  Monitor/Report on KPI's and facilitate data-driven decision making
  

Requirements:

• Domain Expertise:Bachelor’s or Master degree in Data Science, Computer Science, Electrical Engineering, or a related field, with specialized knowledge in semiconductor manufacturing processes. Experience in predictive analytics for yield and quality in semiconductor fabs is highly desirable
  
• Technical Skills:Proficiency in programming languages such as Python or R, with preferred experience in machine learning libraries and statistical modeling. Strong background in data analysis, including the use of big data technologies and cloud platforms
  
• Experience with Semiconductor Manufacturing:At least 3 years of experience working in semiconductor manufacturing, particularly in roles focused on process monitoring, yield improvement, and quality control. Familiarity with Fab, Die probe, and Assembly processes is essential
  
• Analytical and Predictive Modeling Expertise:Proven track record in developing and deploying predictive models for yield analysis and quality assurance. Experience with tools like JMP, Minitab, or similar for statistical process control (SPC) and predictive maintenance is a plus.
  
• Cross-Functional Collaboration and Communication:Strong communication skills to effectively collaborate with process engineers, quality assurance teams, and other stakeholders. Ability to translate complex data insights into actionable strategies that improve product yield and quality.
  

Interested applicants, please apply via our corporate website under the requisition number 8439 at http://www.qorvo.com/careers/ with a copy of your detailed resume. ​

Overview of role

In this role, you will effectively manage others and collaborate cross functionally to deliver critical innovations across multiple projects. You will lead your team to deliver projects and/or capability building innovation to the business. You will also have responsibility for delivery of technical rigor and mastery in your organization. If this sounds exciting to you, read on!

Your team
You will be working with a global team of technical experts while being close to commercial leaders via the Singapore Innovation Centre. You will receive guidance and coaching from Senior Directors on a regular basis.

Key Responsibilities

• Proactively partnering with R&D leaders and teams to create & deliver programs and projects against their toughest business and innovation challenges.
• Have ownership of significant deliverables for a project/ program. Responsible for determining priorities, defining the work, and setting expectations to deliver against the business and R&D/project/program objectives.
• Define and solve business needs and problems of considerable scope by integrating knowledge, intuition, and continued hands-on, in-the-lab experimentation as needed.
• Set and re-adjust project direction and approach as new learning becomes available.
• Integrate internal and external innovation capabilities to resolve problems and deliver superior results.
• Role model a “People First” inclusive and respectful

Qualifications

• Bachelors or Masters degree in Science or Engineering fields
• 8+ years’ FMCG or relevant Innovation experience: envisaging, developing and delivering innovation to meet consumer needs and grow the business
• Experiences in applying the science in actual product innovation/ commercialization.
• Proven technical mastery and problem solving: including business, consumer and technical problem (re)definition, hypothesis development and learning plan delivery – leading to successful business outcomes and growth.
• Strong on acquiring up-to-date external information and working with external partners, integrating big amount of information into data-based insights & recommendations.
• Having an ability to envisage the future while finding the common ground and matching the external possibilities with internal needs, to create the joint vision and deliver the end business outcomes.
• Posses excellent international and interpersonal communication and influencing skills for internal and external relationship building and collaborations.
• Proactive & collaborative leadership and highly self-motivated to work across multiple internal and external organizational boundaries whilst maintaining a focus on the consumer and business outcome.

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.Visit http://www.pg.com to know more.Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.