Responsibilities

. Report to Academic Head (Higher Education)

· Prepare and develop teaching and learning materials according to module descriptor

· Develop lesson plan and create assessment brief

· Complete marking of all assessment papers and to moderate academic results

· Conduct lesson to be delivered face-to-face

· Adopt the use of Information Technology tools to enhance learning by students

· Regular feedback to Academic Head regarding students’ academic performance and behaviour

Requirements:

· Possess Master’s or Doctorate Degrees in IT, Computing, Data Science and AI

· With at least 5 years of relevant working or teaching experience in data science field

· Possess strong interpersonal and communications skills, passionate in sharing knowledge and interacting with students

· Strong sense of professionalism and commitment in completing assigned tasks efficiently and in a timely manner

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

We are seeking a highly skilled and experienced Principal Scientist with a strong background in Computer Science or Mathematics to lead our efforts in the research and development of Privacy Enhancing Technologies (PETs). The ideal candidate will specialize in areas such as Multi-Party Computation (MPC) and Homomorphic Encryption (HE), with a proven track record of high-impact work in these fields. This role involves creating proofs of concept (PoCs) or software at higher Technology Readiness Levels (TRLs), developing new algorithms, and leading R&D teams to push the boundaries of what is possible with PETs.

Key Responsibilities:

• Research and Development: Lead innovative research projects to develop new algorithms that enhance the efficiency, security, and applicability of PETs like MPC and HE.
• Proof of Concept Creation: Design and develop advanced PoCs or TRL software that demonstrate the practical application and effectiveness of newly developed algorithms. This includes application of PETs in various domains like healthcare, finance, manufacturing, transport, etc.
• Team Leadership: Direct and mentor a team of research scientists and engineers, fostering a collaborative environment that encourages innovation and rigorous scientific evaluation.
• Collaboration and Networking: Engage with the broader scientific community to keep abreast of latest developments, share findings, and collaborate on cutting-edge projects.
• Publication and Dissemination: Author influential research papers for top-tier journals and conferences, and present findings at international forums to establish and maintain leadership in the field.
• Strategic Planning: Contribute to the strategic planning of the data security group by aligning R&D activities with long-term organizational goals.

Qualifications:

• Education: PhD in Computer Science, Mathematics, or a closely related field.
• At least 5 years of experience
• Experience: Extensive experience in Privacy Enhancing Technologies, particularly Multi-Party Computation, Homomorphic Encryption, Confidential Computing, or other PETs.
• Leadership: Proven ability to lead and manage R&D teams in a high-tech environment.
• Publications: A strong publication record in peer-reviewed journals and conferences, demonstrating significant contributions to the field of cybersecurity and PETs.
• Skills: Exceptional analytical and problem-solving skills, proficient in algorithm design, and adept at programming in languages suitable for scientific computing and cybersecurity applications.

Desired Attributes:

• Innovative thinker with the ability to challenge conventional approaches and pursue new methodologies.
• Excellent communication skills, capable of conveying complex technical details to diverse audiences.
• Strong organizational skills, with the ability to manage multiple projects simultaneously and meet deadlines.

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.

Host Pathogen Interactions in A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking a Postdoctoral Researcher to join the lab.

We are seeking a talented and collaborative post-doctoral researcher to work in the broad scope of host-pathogen interactions and infectious diseases. The lab has various funded projects on the comparison of host-alphavirus interactions at the immune response level in vivo in animal models through a novel viral-centric and multiOmic approach. Other projects include immune response evaluation of vaccine adjuvant candidates, development of cell-based reporter systems of viral infections to facilitate and accelerate antiviral studies, as well as development of novel vaccine strategies.

The candidate will be expected to work on funded projects as well as develop novel research projects in the scope of the lab research interests to be able to apply to the various early career development schemes both at an internal and external national level. Virus studied in the lab are positive sense RNA viruses as well as some negative sense RNA viruses. Other common techniques and tools in the lab include protein-protein/RNA interactions, microscopy, functional genomics, viral reverse genetics, CRISPR Cas9 gene editing. Animals models available in the lab include mice and zebrafish.

Throughout the project, close collaborative work within A*STAR ID Labs as well as other institutes throughout Singapore and overseas will be used to leverage expertise for high impact studies.

Job Requirements

• PhD in Biomedical Sciences, Life Sciences, Immunology, Virology or related field
• At least 2 to 3 years of relevant experience (immunology or related field) is a plus.
• No virology experience necessary. Prior bioinformatic experience is a plus.
• Highly motivated and able to work independently.
• Team player with good interpersonal skills.
• Good spoken and written communication skills.
• Willing to learn to work in a BSL3 facility if necessary
• Must be comfortable to work with small animal models.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

Your application will be 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

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.

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our large-scale Food Science program, ‘Proteins4Singapore,’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Nanyang Technological University (NTU), the Singapore Institute of Technology (SIT), and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI). As part of the Proteins4Singapore team, you will work alongside renowned scientists in plant and food technology, food chemistry, materials science, and business sustainability. Through interdisciplinary collaboration, the program aims to develop state-of-the-art methods and techniques to ensure a sustainable protein supply for highly urbanized environments.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Job Title

Research Fellow in Soft Materials Science (Biophysical Characterisation of Food Textures)

Job Summary

We are seeking a highly motivated and skilled Research Fellow to join our dynamic research team focusing on the biophysical characterisation of food textures and their molecular building blocks. As part of the Proteins4Singapore project, the Research Fellow will contribute to innovative methodologies for nano- and micro- scale structural characterization of complex soft matter. This position plays a critical role in advancing sustainable protein solutions for urban environments through interdisciplinary collaboration, drawing expertise from physical chemistry, food science, and soft matter physics. This is a fixed term contract until March 2027.

Key Responsibilities

• Conduct experimental studies on protein hydration, emulsification, gelation, and phase separation in food systems.
• Perform experimental work related to nano- and micro- structuring, utilizing advanced biophysical characterization techniques such as X-ray, neutron, and light scattering, as well as other spectroscopic and imaging methods.
• Develop and apply new methods for studying nanoscale wetting, protein hydrophobicity, and viscoelastic properties of complex food textures using acoustic and scanning probe techniques.
• Elucidate on protein-protein interactions and self-assembly processes, aiming to control structure formation at micro- and nanoscales in food matrices.
• Collaborate with cross-disciplinary teams to integrate multiscale structural analysis with food processing techniques, including 3D printing and extrusion, thereby contributing to the project’s long-term goals of advancing sustainable food technologies and developing innovative methodologies for food texture analysis
• Engage in collaborative research, data analysis, and interpretation, while contributing to the writing of research papers, reports, and presentations for dissemination at conferences and in peer-reviewed journals.
• Participate in lab meetings, seminars, and collaborative research discussions to align with project goals and objectives.
• Supervise junior group members including undergraduate and doctoral students.

Key Competencies

• Experience in studying soft matter and colloidal systems, including colloidal interactions and structure formation.
• Strong understanding of molecular self-assembly and phase behaviour in soft matter systems.
• Expertise in biophysical characterization techniques, such as X-ray, neutron, and light scattering, as well as atomic force, confocal laser scanning, or electron microscopy for structural resolution of soft matter systems
• Strong analytical skills, with experience in using statistical tools for experimental design and data optimisation.
• Excellent communication skills, both written and verbal, in particular communication of complex scientific concepts to both specialists and non-specialists in a multidisciplinary research environment.
• Proven ability to conduct independent research and collaborate in multidisciplinary teams including working effectively within deadlines.
• Self-motivated and adaptable, with strong problem-solving skills and the ability to thrive in a dynamic, fast-paced research environment.

Qualification Requirements

• Ph.D. in Chemistry, Chemical Engineering, Materials Science, Food Science or cognate discipline from a reputable university.
• At least 1 year of experience in experimental soft matter research.
• Excellent written and verbal communication skills in English.

What we offer

• A collaborative and inclusive world class research environment.
• Access to state-of-the-art laboratory facilities and equipment.
• Opportunities for professional development and career growth.
• Engagement with a leading research team committed to advancing an emerging topic of global relevance.

Applications

Please send your complete application, including cover letter, CV, university transcripts, and degree certificates, [email protected].

Only shortlisted candidates will be contacted.

We are looking forward to your application!

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 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 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.

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!

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Scientist to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

The candidate will be joining the Antimicrobial Chemical Biology Lab, a newly established group in A*STAR ID Labs focusing on the development of synthetic antimicrobial compounds for potential therapeutic application against infection.

Research projects will encompass various tasks such as:

• Chemical synthesis
• In vitro antimicrobial activity testing
• Understanding mechanisms of action
• In vivo efficacy evaluation.

The candidate will be trained on project management and ideation of new studies aligning with the lab focus. They will also support the team in lab operation, safety oversight, and documenting experimental procedures and results.

Job Requirements

• Ph.D degree in microbiology, biomedical science, bioengineering, or any other related field
• Having background knowledge in AI and programming will be an advantage
• Highly motivated and passionate about scientific research
• Effective communication both verbally and in writing
• Team player
• Receptive and detail-orientated

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

Your application will be 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

The National University of Singapore invites applications for the position of Research Assistant / Engineer 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, 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 Enhancing Enterprise Cybersecurity through Detection Engineering, Cyber Threat Intelligence, and Cyber Digital Twins. He/she should possess experience or interest in at least one of the following research areas:

• Algorithms & Theory
• Artificial Intelligence
• Operational Technology
• Database
• Abnormalities Detection
• Programming Languages & Software Engineering
• Security
• Systems & Networking

Qualifications

• A Bachelor/Master degree in a relevant area;
• Good publication record; and
• Experience in research.

We are seeking a talented and ambitious candidate to join our team in developing next-generation quantum sensors. The project focuses on creating a mesoscopic-scale "artificial atom" through superconducting levitation of a ferromagnetic particle. This levitated, freely precessing particle represents a system of correlated spins, capable of rapidly averaging quantum uncertainty. By leveraging this system, we aim to develop quantum sensors with sensitivities surpassing the standard quantum limits.

This position is based in A*STAR Quantum Innovation Centre (Q.InC). The successful candidate will contribute to a range of innovative activities, including:

Key Responsibilities:

• Development of high-performance sources to generate squeezed light.
• Characterizing the squeezed light.
• Modeling the dynamics of the levitated particle
• Microfabrication of the particle, silicon pocket, and superconducting materials
• Develop a hybrid motion tracking system integrating SQUID technology with squeezed light techniques.

Requirements:

• Ph.D. in Physics, Applied Physics, Precise Instrumentation, or related fields
• Strong motivation for multidisciplinary research
• Prior experience in superconductivity and/or quantum sensing is highly preferred
• Proficiency in programming languages such as Python or MATLAB
• Strong teamwork and communication skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

A*STAR Infectious Diseases Labs (A*IDL) is seeking for a Research Scientist to join us in our mission to to be a leading centre for infectious diseases research excellence in antimicrobial resistance, respiratory and vector-borne diseases. A*ID Labs brings together infectious diseases expertise from across multiple disciplines to drive cutting edge translational infectious diseases research to contribute to Singapore’s national preparedness.

You will be joining the Mucosal Infection Lab. The lab focuses on modelling mucosal infection using in vitro and in vivo systems with priority antimicrobial resistance (AMR) bacteria to understand disease pathogenesis. Specifically, the projects will involve dissecting the mechanisms in the gut-liver axis during bacterial induced pyrogenic liver abscess. Candidates with prior experience working with liver diseases and single-cell RNAseq are preferred.

Job Responsibilities:

• Basic molecular and protein assay including PCR and ELISA
• Small animal infection with AMR bacteria (Klebsiella pneumoniae and E. coli)
• Small animal microbiome colonization models
• In vitro infection assay using AMR bacteria and microbiome.
• Immune profiling in the tissues of infected animals
• Lab safety and housekeeping
• Routine administrative duties and budget/spending management of the lab

Job Requirements:

• PhD in Biomedical Sciences, Life Sciences, Infectious diseases, Immunology or related field.
• At least 1 year of relevant experience
• Good spoken and written communication skills
• Experience working with liver diseases
• Background with single cell RNAseq
• Competency in bacterial culture, cell culture, flow cytometry and basic microscopy will be advantageous but not strictly required.
• Basic knowledge in bioinformatics will be advantageous.
• Comfortable working with small animal models

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.

Responsibilities:

• Engage and manage various stakeholders (internal and external) expectations and communication.
• Collaborate with functional teams to conduct cleanroom/facility planning and layout
• Carry out physical area/ floor marking, coordinate with functional teams in tool purchase, movement (in/out), tool relocation plan, project timeline and capacity update.
• Perform risk analysis of various project options and outcomes
• Maintain and validate capacity/capital/space models to enable accurate assessment of wafer fabrication and operations loading needs
• Support operational efficiency improvement efforts (cycle time, OEE improvement, capacity optimization, space optimization)

Requirements:

• Degree in Engineering (Industrial & Systems Engineering), Mechanical, or relevant field;
• Proficient in AutoCAD 2D/3D and Simulation Tool preferred
• Proficient with Microsoft Words, Excel and PowerPoint proficiency
• Preferably to have industrial engineering experience in a semiconductor/ manufacturing environment
• Ability to work independently and team player to deliver in fast paced and collaborative environment

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

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.

Job duties and responsibilities :

• Oversee and manage all Singapore Chinese Health Study genetic data hosted on GIS RAPTOR platform.
• Coordinate data extractions and data transfer for the Singapore Chinese Health Study.
• Manage design, develop, verification and validation activities for appropriate genetic data storage and analysis.
• Execute large-scale genetic evaluations for ageing biomarkers and age-related traits and outcomes with the Singapore Chinese Health Study dataset.
• Coordinate data harmonization with key collaborators to enable larger scale data analysis.
• Maintain proper logs and filing for all project documents and records.

Job requirements :

• Proficiency in large-scale genomics evaluations.
• Proficiency in cloud computing, unix based computational platforms.
• Excellent communication and collaborative skills and ability to work as part of a larger team.
• Meticulous in delivering and documenting tasks with appropriate computational tools.
• Well acquainted with basic molecular biology techniques including qPCR and NGS
• PhD in genomics, computational biology or related fields.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Faculty of Arts and Social Sciences (FASS) at the National University of Singapore (NUS), invites applications for the position of Research Assistant/Associate. The successful applicant is expected to commence duties at NUS in January 2024, or as soon as possible thereafter.

This position is connected to a research project titled, “Relocation, Social Networks and Housing Aspirations in Ageing Public Housing”. The research focuses on homeowners’ decision making towards housing relocation. The research team will primarily use ethnographic and interview methods in the research, combining these with a small-scale survey, GPS tracking and GIS visualisations for analyses.

The project team consists of Principal Investigator (PI) Professor Elaine Ho (Department of Geography), Co-PI Associate Professor Vincent Chua (Department of Sociology and Anthropology) and Collaborator A/P Feng Chen-Chieh (Department of Geography).

Scope and responsibilities

The RA will provide administrative support to the Principal Investigator for large grant management and liaise with the project team members or external parties on such matters. There will be opportunities to be involved in empirical research and/or data analyses that are central to the project.

Qualifications

Applicants are expected to hold at least a Second Class Honours (Upper Division) or an equivalent honours degree, or a Master’s degree in the Social Sciences.

Competencies

• Willingness to learn about and work with researchers using mixed methods; prior experience of working with mixed methods will be an advantage
• Excellent writing and strong communication skills in English, including an ability to present research in both academic and non-academic venues
• Curiosity and passion to explore new concepts, methods and technologies, and capable of identifying and quickly learning the most suitable tools for the research on the go
• A good team player and the ability to multitask effectively
• Excellent organization and interpersonal skills
• Basic computer knowledge and core Microsoft Office skills
• Prior experience in large grant management will be an advantage
• Skills in using qualitative analysis software will be an advantage
• Skills in one or more of the following languages for carrying out research interviews is required if the participant does not use English: Mandarin and/or Chinese dialects used in Singapore (e.g. Hokkien, Cantonese, Teochew or Hainanese); Malay or Tamil.

Application

Informal enquiries may be made to Professor Elaine Ho ([email protected]). Please include a covering letter, full CV and 3 letters of recommendation in your application.

This is a 6 months contract which can be extended according to performance.

Shortlisted applicants may be called for interview, either in person or by Zoom, as appropriate.

Application deadline: 2 weeks from the time of advertisement.

Principal Scientist for Advanced Photonics and Flat Optics Process Integration

The candidate will take the lead for the development of advanced photonics and flat optics integration. This could include but not limited as photonic integration, photonic heterogeneous integration, multi-layered flat optics integration, electro-photonics integration, etc., with various materials. The candidate will work closely with an excellent multidisciplinary and high-industry driven team involving photonics, semiconductor process, and fab operation.

Responsibilities:

• Development of various photonics integration process with 8-inch and 12-inch fabrication facilities, including such as photonics heterogenous integration and flat optics integration.
• Design of Experiments (DOE) for both design and process margin checking and process control.
• Baseline integration process development and standardization for both photonics heterogenous integration and flat optics integration.
• Lead the inline defect analysis and process DOE towards yield improvement.
• Lead the inline process metrology data taking and analysis, device / circuit performance data taking.
• Data analysis and documentation.
• Preparation of technical presentations and papers for internal meetings, as well as conferences and journals.
• Collaborate with project team to ensure quality and on-time delivery for various projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent.
• Strong hands-on experience in CMOS or Photonics integration.
• Minimum 10 years working experience on commercial foundries or equivalent.
• Minimum 10 years project and team management skill.
• Strong communication, industry awareness, and problem-solving skills.
• Strong self-motivation and interest in the next-generation advanced photonics technology and product development.