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.

We are looking for experienced teacher/tutor to teach Primary subjects

Who are we looking for?

• Someone with a diploma or a Bachelor degree
• Has experienced in teaching the subject.
• At least 2 Year(s) of working experience in the related field. Someone who has experience working in a tuition centre will be an added advantage
• Enthusiastic, patient and passionate in helping students to excel
• Dedicated and a team player

The role:

• Assist to prepare some materials and curriculum
• Conduct lessons
• Evaluate and monitor students’ progress
• Assess each child’s educational and development needs

Other Information:

• Location: near Clementi MRT
• This can be a part time (3 or 4 day week) or a full time (5 day week), with 1 weekend.
• Working hours: weekday 1 pm to 9pm; weekend 8.45am to 6pm
• Salary commensurate with qualifications and experience
• Annual leave & medical

Interested applicants, please send your resume to us by detailing your qualification and experience, and expected salary.

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 8 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.

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 Education

· With at least 5 years of relevant working or teaching experience in education 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

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

NetVirta is a fast growing, venture-backed startup in the fashion fit technology space. If you’ve had difficulty shopping online because you couldn’t find clothing or footwear that fit, you’ve experienced the problem we address. It’s an issue that troubles shoppers around the world and NetVirta is uniquely positioned to solve it.

Founded by two MIT graduates and located in Boston and Singapore, NetVirta is the world’s leading fit technology provider for medical, retail and sports equipment brands, helping customers order the right size with precision 3D body scanning. We began serving the medical industry in 2013, helping doctors scan medical patients to create custom-fit orthotics and prosthetics. In 2017, we expanded to enable NFL and NCAA football players to obtain custom-fit helmets. Fast forward to 2022, NetVirta’s closed deals with multiple clothing and footwear brands in North America, Europe, and Asia.

We are proud to be certified as Great Place to Work® in Singapore.

What can you expect?

We are seeking a Machine Learning Engineer / Researcher who will assist the development and deployment of advanced machine learning models to power our recommendation system and search engine. In this role, you will have opportunities to work with state-of-the-art AI techniques, including large language and vision models, integrating them to complement our recommendation system and search architecture. You will also play a vital role in maintaining and evolving our AI systems throughout the different growth stages.

Responsibilities

• Build scalable recommendation and search engines tailored to fashion content.
• Lead the design, development, and optimization of machine learning models, especially in the context of fashion recommendation systems and search engines.
• Integrate various techniques to help tackle cold start problems, including

1. Content-based recommendation
2. Leveraging implicit user interaction signals
3. Large language (vision) models

Required Skills & Experience

• Bachelor’s, Master’s or PhD degree in Machine Learning, Computer Science, or a related field.
• Experience with Python and machine learning frameworks (eg., TensorFlow, PyTorch).
• Prior hands-on experience with recommendation & search systems and knowledge of its key components (retrieval, re-ranking, cold-start, etc).
• Familiarity with using large language models and computer vision techniques.
• Ability to collaborate in a fast-paced, cross-functional environment with strong communication and teamwork skills.

Good-To-Have

• Knowledge of reinforcement learning (e.g. multi-armed bandits and related techniques).
• Prior industry experience with A/B tests in the context of recommendation systems.
• Good understanding of the infrastructure behind large-scale recommendation and search systems.

What else is awaiting you?

• Career development opportunities, like mentoring, career exploration through a Japanese concept called Ikigai.
• Learning is fundamental to our culture, your growth together with Netvirta's are paramount to how we can transform the industry.
• Besides hard work, we value your well-being and want you to have fun too! Attractive compensation and benefits as well as engagement and welfare activities awaits you.
• Work alongside with friendly colleagues in a positive environment.

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.

• Position : Admin Assistant (Customer Service/Data Entry)
• Location : Tuas - daily company transport to/from Boon Lay and Jurong East MRT
• Working hours : Monday - Friday 9.00am to 6:00pm
• Salary (commensurate with experience) : Up to $3200 + AWS + 14 Days Annual Leave + Variable Bonus + Mobile allowance
• Duration : Permanent
• Industry :Concrete Precast

Main Responsibilities:

• Work as part of admin team to ensure customers the best possible experience on all fronts of the company.
• Check all POs and DOs from internal and external parties to ensure items, quantity, and amount are correct.
• Data entry of information
• Filing, checking and verify documents.
• Office admin including handling phone calls.
• Additional administrative duties when assigned.

Requirements:

• Proficient in software applications, particularly Microsoft Office
• Good communication skills.
• 1-2 years relevant experience preferred.
• well-organized, meticulous and able to work in a fast-paced environment
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to [email protected]

Do visit Search Personnel Pte Ltd for more job listings.

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

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!

A church kindergarten in West Coast (Clementi) area is seeking a trained and experienced English teacher to commence work in January 2025.

Requirements

Diploma in Pre-school Education Teaching (DPT) / Diploma in Early Childhood Care & Education (DECCE)

Good communication and interpersonal skills

A team player with passion in equipping and inspiring young lives

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.

RAD Ballet & Dance Teacher Required - Start January 2025

(Fulltime/Partime/Freelance positions available)

This person needs to be passionate about dance and movement and have the ability & experience to teach other dance styles to little ones & up through the ages - We are looking for a Teacher who can teach, inspire and enthuse students with the love of dance and prepare and enter our ballet students for RAD exams, working with young dancers upwards.

The school also has a thriving Musical Theatre and Drama departments so the ability to teach across departments, would be considered an advantage.

Qualifications:

EITHER - a degree or diploma in dance/performing arts linked with either a teaching qualification or significant teaching experience. OR a degree or diploma in education and the relevant dance experience.

Non Singapore Citizens - If applying from outside of Singapore - A diploma is not acceptable a degree is required in order to get the relevant work pass to work in Singapore.

Contract:

Part-Time 1 academic yr Commitment - Starting January 2025

Full-Time - 2 academic yr Commitment - Starting January 2025

Freelance - 18 hours of teaching on Monday and Thursday afternoon, including weekends. (Jan to Apr 2025)

Salary - Freelance $70 per hr for teaching and $20 per hr for admin - dependent on age, qualifications and experience

Salary - Full time - Competitive - dependent on age, qualifications and experience

All candidates - must have DBS (previously CRB) UK police check, or Singapore, home country equivalent.

Please send all enquiries to Alison at [email protected]

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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!

This position is for individuals who have passion in teaching, love working with young children and believing in developing children to achieve competencies for future success. This position reports to the Centre Principal and works closely with centre teachers.

Our employees are given options to experience and impact various aspects of the business (Curriculum, Mentoring, Admin & Operations, Strategic Resources, & Marketing) through our career advancement and rotation program. We have a detailed individualized framework and advocate a strong culture of support for our employees, which includes, but not limited to, townhall meetings, employee engagement, and 1-on-1 discussions/check-ins.

Job Description

• Refine teaching and learning approaches aligned to Bright Kids curriculum
• Refine classroom management strategies, and strategies to observe and document children’s learning
• Engage children meaningfully through the customisation of curriculum and use of appropriate pedagogy
• Implement differentiated teaching and learning strategies to meet the diverse needs of children
• Inculcate the core values of Early Childhood Education through classroom activities and programmes
• Design quality learning environments
• Enhance trusting, respectful relationships with children through classroom curriculum and programmes
• Implement the appropriate course of action for the protection of children
• Adhere to health, safety, nutritional and hygiene standards and procedures
• Strengthen home-centre partnerships
• Co-lead collaborative projects with community stakeholders
• Guide colleagues to engage in continuous learning and reflective practice
• Contribute to fostering a culture of continuous learning
• Contribute in fostering a culture of collaboration
• Uphold the Centre’s Vision, Mission and Values

华文幼儿老师主要负责照看孩子，激发孩子学习华文的热情。

• 使用适合幼儿发展的学习材料和资源设计优质的学习环境
• 具有积极的团队合作力；
• 记录和分析幼儿的学习和发展，以便更好地为设计教学策略
• 与家庭合作以确保家庭和中心之间看护和学习的连续性

Requirements

• No prior preschool teaching experience required
• A minimum B4 grade for English Language
• A degree or local poly diploma or 5 O-level credits
• Willing to be part of the Career Conversion Programme (CCP) and Career Trial (CT)
• Singaporeans or PRs are preferred
• Dance Choreography
• Effective communication and Teamwork
• Open-mindedness

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