Total 2,638 Education / Training job vacancies in SGP-Singapore-Hong Leong Building

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.

Job Description

Our PLSE research group in National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). We are looking for a highly skilled and motivated research assistant to join our team and help in ongoing projects related to large language modelling. This role involves conducting advanced research and development in the field of AI and SE, with a focus on improving the robustness and effectiveness of large-scale models. The candidate will play a key role in devising innovative algorithms, conducting experiments, and contributing to the advancement of our technology and products.

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

• Artificial Intelligence and Machine Learning
• Programming Languages & Software Engineering

Key Responsibilities
• Assist in research projects assigned.
• Design and implement algorithms to enhance the efficiency and robustness of AI systems.
• Publish research findings in top-tier conferences and journals.
• Collaborate with cross-functional teams to integrate AI solutions into products.

Only shortlisted candidates will be notified.

Requirements

• A Bachelor’s or higher degree with Honours in Computer Science or a relevant area (e.g., Math, Analytics).
• Proven experience in research of large language models and deep learning algorithms.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.
• Ability to conduct independent research and solve problems.
• Experience in research paper writing.
• Good communication and collaboration skills.
• Experience with adversarial training and algorithm optimization is a plus.

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 Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is in search of candidate for a research engineer position to assist in Prototype Development. The candidate will work closely with our researchers, students, and professors to understand and derive insights from scientific experiments and data. The successful candidate will be assisting in the research of microelectronic devices and circuit designs for reliable hybrid component integration from a thermomechanical aspect to enable broad class of applications for dual-use relating to IoT microelectronics and Flexible Hybrid Electronics (FHE).

Responsibilities will involve:

1. Develop and design thermomechanical experiments, prototypes, and proof-of-concept models to test hypotheses.
2. Identify engineering challenges and work on solving complex technical problems.
3. Gather and analyze data from experiments and simulations.
4. Create prototypes of new products or systems
5. Maintain accurate and detailed records of research activities, methodologies, and results.
6. Collaborate with other engineers, scientists, and researchers to achieve project goals.
7. Assist in equipment purchase, commissioning, and ownership.

(Interested applicants should send their curriculum vitae via email to [email protected]).

Qualifications

• A master’s or higher degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• At least 2 years’ relevant work experience, and good knowledge, skills and expertise in relevant field.
• Candidate with experience in microelectronic research, characterisation, metrology and electrical testing, and strong in data analysis will have an advantage.
• Knowledge of thermal and thermomechanical modelling and analysis.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• Open to Fixed Term Contract.

Job Description

Perform a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator (http://www.digitalmedicinelab.org/):

• Apply statistics and machine learning techniques to analyse various types of clinical data such as large-scale electronic health records, biosignal data, and/or medical images.
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in medical informatics and health data science.
• Write high-quality technical/methodological research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Perform other academic duties as required by the Principal Investigator.

Job Requirements

• Bachelor or master’s degree in computing / biostatistics / epidemiology / engineering with good mathematical knowledge and some research experience in machine learning and statistics.
• Good programming skills in R or Python.
• Having interests in applying statistics and machine learning to solve real-world medical problems.
• Willing to conduct independent research as well as support team research activities.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

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 Global Asia Institute at the National University of Singapore invites applications for a postdoctoral research fellow position. The Institute is seeking scholars with strong skills in applied empirical methods and econometrics, with research interests in behavioral economics and/or health economics. Candidates should have an outstanding record in accredited PhD program in economics or related fields.

The Institute is well supported by a team of research assistants. Successful candidates will collaborate with a team of passionate researchers to work on projects which have immediate policy and commercial implications.

There will be no teaching obligation for the first contract. Salaries are globally competitive and commensurate with the candidate's qualifications, track record, potential, and experience. Shortlisted candidates will be notified of an online interview

Qualifications

An outstanding record in accredited PhD program in economics or related fields

The School of Civil and Environmental Engineering (CEE) invites applications for the position of Research Associate.

Key Responsibilities:

• The RA will work on a project to conduct the research on the production of self-healing cement additive and its applications.

• The RA should have previous experience in chemical synthesis and analysis, concrete sample preparation, mechanical testing and microstructural characterization (XRD, TGA, FTIR and SEM-EDX).

• Additional experience in rheology and 3D concrete printing would be preferable, but not required.

Job Requirements:

• Master / PhD in Engineering, Material Science or Chemistry

• Strong academic standing with several publications in reputable journals

• Good English speaking and writing skills

• Strong references from previous supervisors

We regret that only shortlisted applicants 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 the Centre for Quantum Technologies (CQT)

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

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The candidate will participate to the development and design of a quantum processor using neutral atoms array. In particular, participate to the design of the vacuum system, characterisation of the laser system, implementation of the optical systems, and interfacing of the experimental setup.

Job Requirements

• A Bachelor degree in Physics;
• A successful experience in atomic physics or related fields

Lee Kong Chian School of Medicine invites applications for:

Research Fellow at Assistant Professor Franklin Zhong's lab.

Lee Kong Chian School of Medicine (LKCMedicine) established in September 2010 is a partnership between Imperial College London and Nanyang Technological University (NTU), Singapore. Consistently rated amongst the world's best universities, Imperial College London is a science-based institution with a reputation for excellence in teaching and research while NTU is the only Singapore university listed in the Top 10 of the Times Higher’s 200 Under 50 Rankings and is ranked the world’s No. 1 young university by QS in the last three consecutive years.

LKCMedicine operates from two campuses – Yunnan Campus at Nanyang Technological University and Novena Campus, which is located in the precinct of the future HealthCity. At LKCMedicine, we recognize that synergies is the key to maximize research output and we seek to promote synergies between researchers in LKCMedicine itself and local and/or overseas researchers.  We strongly believe that building synergies and robust collaborations will be the key to maximizing research output in today’s competitive environment.

Asst Prof Franklin Zhong’s research group at LKC School of Medicine is looking for a postdoctoral fellow to join ongoing research on human innate immunity. We are particularly interested in PhD scientist which strong background in molecular biology and animal disease modeling.

Key Responsibilities:

• Perform molecular biology experiments to identify novel immune effectors

• Models human diseases using engineered mouse models

• Data analysis

• Publications

Requirements:

• PhD in Biological Sciences

• Strong background in molecular biology, including mammalian cell culture, cloning and CRISPR/Cas9 genome editing

• Experience with animal work is preferred

Lee Kong Chian School of Medicine invites applications for:

Research Assistant in Assistant Professor Franklin Zhong's lab

Lee Kong Chian School of Medicine (LKCMedicine) established in September 2010 is a partnership between Imperial College London and Nanyang Technological University (NTU), Singapore. Consistently rated amongst the world's best universities, Imperial College London is a science-based institution with a reputation for excellence in teaching and research while NTU is the only Singapore university listed in the Top 10 of the Times Higher’s 200 Under 50 Rankings and is ranked the world’s No. 1 young university by QS in the last three consecutive years.

LKCMedicine operates from two campuses – Yunnan Campus at Nanyang Technological University and Novena Campus, which is located in the precinct of the future HealthCity. At LKCMedicine, we recognize that synergies is the key to maximize research output and we seek to promote synergies between researchers in LKCMedicine itself and local and/or overseas researchers.  We strongly believe that building synergies and robust collaborations will be the key to maximizing research output in today’s competitive environment.

Franklin Zhong’s research group at LKC School of Medicine is looking for a postdoctoral fellow to join ongoing research on human innate immunity. We are particularly interested in PhD scientist which strong background in molecular biology and animal disease modeling.

Key Responsibilities:

• Conduct and assist in molecular biology experiments to identify novel immune effectors

• Conduct and assist in basic animal husbandry and related experiments on engineered mouse models

• Perform data analysis and assistant in publications

• Organize lab operations including procurement

Requirement:

• Bachelor’s in Biological Sciences

• Lab experience (>3 months) with molecular biology

If you have a professional teaching qualification (such as the Postgraduate Diploma in Education and the Diploma in Education from the National Institute of Education), relevant content knowledge, and are keen to teach at our MOE schools, we welcome you to join us!

We also welcome former MOE-trained teachers who continue to have a passion for education to return to the teaching fraternity on a full-time basis.

To apply, please go to the Careers@Gov job post at www.go.gov.sg/moe-ttr. Click "Apply Now" to complete the FormSG application form. Kindly specify your subject proficiencies and preferred teaching subjects, and remember to attach all your educational transcripts with your application. Please note that only applications submitted via the FormSG application form will be considered.

You will need to submit your application by 14 Feb 2024, 11.00 PM. Only applications received via the FormSG application form will be considered.

For applicants who are unable to attend the interview in Singapore, your application may be processed outside of the application windows.

Key Personnel (KP)

Former KPs may be considered for reappointment as a KP. Please note that if there is no suitable KP position available, we will consider your application for a classroom teaching position instead.

Successful candidates will be appointed on a contract basis in the first instance.

If you do not receive a response from us by 1 Mar 2024, you may assume that your application has been unsuccessful.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

If you have a professional teaching qualification (such as the Postgraduate Diploma in Education and the Diploma in Education from the National Institute of Education), relevant content knowledge, and are keen to teach at our MOE schools, we welcome you to join us!

We also welcome former MOE-trained teachers who continue to have a passion for education to return to the teaching fraternity on a full-time basis.

To apply, please go to the Careers@Gov job post at www.go.gov.sg/moe-ttr. Click "Apply Now" to complete the FormSG application form. Kindly specify your subject proficiencies and preferred teaching subjects, and remember to attach all your educational transcripts with your application. Please note that only applications submitted via the FormSG application form will be considered.

You will need to submit your application by 14 Feb 2024, 11.00 PM. Only applications received via the FormSG application form will be considered.

For applicants who are unable to attend the interview in Singapore, your application may be processed outside of the application windows.

Key Personnel (KP)

Former KPs may be considered for reappointment as a KP. Please note that if there is no suitable KP position available, we will consider your application for a classroom teaching position instead.

Successful candidates will be appointed on a contract basis in the first instance.

If you do not receive a response from us by 1 Mar 2024, you may assume that your application has been unsuccessful.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

If you have a professional teaching qualification (such as the Postgraduate Diploma in Education and the Diploma in Education from the National Institute of Education), relevant content knowledge, and are keen to teach at our MOE schools, we welcome you to join us!

We also welcome former MOE-trained teachers who continue to have a passion for education to return to the teaching fraternity on a full-time basis.

To apply, please go to the Careers@Gov job post at www.go.gov.sg/moe-ttr. Click "Apply Now" to complete the FormSG application form. Kindly specify your subject proficiencies and preferred teaching subjects, and remember to attach all your educational transcripts with your application. Please note that only applications submitted via the FormSG application form will be considered.

You will need to submit your application by 14 Feb 2024, 11.00 PM. Only applications received via the FormSG application form will be considered.

For applicants who are unable to attend the interview in Singapore, your application may be processed outside of the application windows.

Key Personnel (KP)

Former KPs may be considered for reappointment as a KP. Please note that if there is no suitable KP position available, we will consider your application for a classroom teaching position instead.

Successful candidates will be appointed on a contract basis in the first instance.

If you do not receive a response from us by 1 Mar 2024, you may assume that your application has been unsuccessful.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

If you are a former MOE Tamil Language teacher, or a Trained Teacher with a professional teaching qualification in Tamil Language, we welcome you to join us!

To apply, please go to the Careers@Gov job post at www.go.gov.sg/moe-ttr-tl. Click "Apply Now" to complete the FormSG application form. Kindly specify your subject proficiencies and preferred teaching subjects, and remember to attach all your educational transcripts with your application. Please note that only applications submitted via the FormSG application form will be considered.

Key Personnel (KP)

Former KPs may be considered for reappointment as a KP. Please note that if there is no suitable KP position available, we will consider your application for a classroom teaching position instead.

Successful candidates will be appointed on a contract basis in the first instance.

If you do not receive a response from us within 5 weeks, you may assume that your application has been unsuccessful.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Barbaros Ozeyilmaz on energy storage and conversion under a project on Towards Commercializing Monolithic Graphene Nanofoam Supercapacitors for Space Applications: Hybrid Power Applications and Ta Capacitor Replacement.

The main responsibilities of the position include:

• Building upon our ground breaking work in 2D amorphous carbon (Synthesis and properties of free-standing monolayer amorphous carbon (MAC), Nature 577, 199 (2020)), we embark on a bold exploration into the uncharted territory of precisely engineered 3D version of MAC structures. This novel technology, a testament to our team's innovative spirit, holds immense promise for revolutionizing materials science and unlocking a plethora of real-world applications.

• The successful candidates will be conducting their high impact research in -

1. Nanoscale engineering of 3D graphene foam and its supercapacitor application under extreme working conditions which battery cannot cover. New applications in extreme environments such as short run memory and pressure gauges in downhole environment, implantable medical devices, cold temperature aerospace applications and IoT devices etc.

This project is in collaboration with National institute and industries (e.g. ST Engineering and DSO, etc).

2. Hybrid nano-composite 3D foam synthesis for high Energy Battery.

• New battery development with high energy and power densities for automotive, satellite, train & microgrid applications. Targeting new energy conversion/storage application.

Qualifications/Requirements/Other Info

• Qualifications / Discipline: Candidates must hold an internationally-recognized PhD degree (or equivalent) preferably in electrochemistry, material science, Nanoscience, or equivalent. The candidate should have a proven track record of excellence in experimental research.

• Skills: Candidates with experience in energy storage applications (supercapacitors/batteries), characterization and material synthesis are highly encouraged to apply.

• Experience:

>2 years as research fellow level, plus

>3 years research experience Energy storage projects

If you are a former MOE Tamil Language teacher, or a Trained Teacher with a professional teaching qualification in Tamil Language, we welcome you to join us!

To apply, please go to the Careers@Gov job post at www.go.gov.sg/moe-ttr-tl. Click "Apply Now" to complete the FormSG application form. Kindly specify your subject proficiencies and preferred teaching subjects, and remember to attach all your educational transcripts with your application. Please note that only applications submitted via the FormSG application form will be considered.

Key Personnel (KP)

Former KPs may be considered for reappointment as a KP. Please note that if there is no suitable KP position available, we will consider your application for a classroom teaching position instead.

Successful candidates will be appointed on a contract basis in the first instance.

If you do not receive a response from us within 5 weeks, you may assume that your application has been unsuccessful.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.

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. Boxiang Liu on leveraging functional genomics approaches to understand the molecular mechanisms of complex diseases.

The main responsibilities of the position include:
- High-throughput CRISPR/Cas9 screening.
- Bulk and single-cell RNA-seq analysis.
- ATACseq data analysis and TF motif identification.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: PhD degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

Job Highlights:

• 5 days work-week
• Training opportunities
• Full Time Staff Benefits

Near Clementi Station/West Coast area

Job-scope:

• Look after the well being of students and maintain discipline
• Academic coaching for all subjects in the lower & upper primary levels
• Conduct checks to ensure children’s safety in all programme and events
• Conduct in-house enrichment programmes during school holiday
• Supervise homework, life-skills & recreational activities
• Assist with field trips, excursions or visits
• Maintain a positive, nurturing, safe and secure learning environment for students

Requirements:
Having worked in a student care environment is a bonus
- O level (minimum)
- Teamwork together
- Passionate about working with kids
- Patience in dealing with kids
- Ability to work independently
- Able to lead and manage primary school students
- Able to communicate well with parents and students(if necessary)
- Some relevant working experience in a related field
- Working hours Mondays to Fridays 12pm-7pm
- Occasionally need to work from 7.30am to 1.30pm

Interested applicants can send in your resumes via email to
millenniummarketinghr @ gmail.com or WhatsApp to 90090196(Mrs Lin)

Job Types: Full-time, Permanent

Salary: $2,000.00 - $2,500.00 per month

Benefits:

• Food provided
• Professional development

Schedule:

• Monday to Friday

Supplemental pay types:

• Overtime pay
• Performance bonus
• Yearly bonus

Work Location: In person

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A bioinformatician/molecular microbiologist is sought to join a team working on metagenome-resolved biogeography and functional ecology of photosynthetic microbial communities under extreme environmental stress.

The main responsibilities of the position include:
1. Analysis of metagenomic sequence data with various packages using the R statistical environment.
2. General molecular microbiology laboratory work including DNA/RNA extraction, library preparation, and sequence analysis.

The position is available for an initial period of 21 months, with renewal subject to performance and funding availability.

Qualifications

• Qualifications / Discipline:
BSc (hons) required, and preferably a MSc

• Skills:
Competence in using R software for bioinformatic analysis of metagenomes is essential, e.g. MEGAN6. Some laboratory experience in molecular microbiology is also preferred but not essential.

• Experience:
At least one year of experience using computational bioinformatic tools in a research environment is required.

P0005

Working location: Alexandra

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

· To understand each department’s daily processes e.g., marketing, sales, human resource, operations etc.

· Be open to learn new things and enjoy the learning journey

· Job rotation between various departments

· Participating in meetings, workshops, and events

· Compiling analysis and making presentations to other team members

· Completing fieldwork and providing evaluation analysis of the company’s services

· Learn various staff functions, including management viewpoints, company policies and practices affecting each phase of business

· Fulfilling any requirements and meeting goals set out at the start of the traineeship

· Observe experienced staffs to acquire knowledge of methods, procedures, and standards required for performance of departmental duties

· Provide support as needed in the various departments, including data-entry, presentation creation, strategic planning, client service matters as needed

· Report on company progress

· Compile and evaluate performance reports

JOB REQUIREMENTS

· Minimum Diploma and above

· Willing to learn and flexibility to adapt to working environment

· Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

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 A/P Dr Sergio Hernandez Marin in the Data Analytics Consulting Center on both internal-facing (NUS) and external facing (startups, SMEs, MNC) Data Science and Data Architecture roles.

The main responsibilities of the position include:

1. Data Analysis and Modeling:
- Utilize advanced statistical and machine learning techniques to analyze complex datasets.
- Develop predictive models and algorithms to extract meaningful insights and patterns.

2. Data Architecture and Management:
- Design and implement robust data architectures to support the project's data needs.
- Work on data integration, ensuring seamless flow and accessibility of data across different components of the project.

3. Collaboration with Interdisciplinary Teams:
- Engage with a diverse team of stakeholders, to integrate data science solutions into the broader project framework.
- Communicate findings effectively to non-technical stakeholders.

4. Teaching Short Courses on Data Science:
- Design and deliver short courses on data science topics to internal team members or external stakeholders.
- Provide training sessions on the application of data science methodologies and tools.

5. Experimental Design and Hypothesis Testing:
- Contribute to the formulation of research hypotheses and experimental design.
- Implement and conduct experiments, ensuring the rigor and reproducibility of the research process.

6. Software Development and Implementation:
- Develop custom tools and software solutions to facilitate data analysis and visualization.
- Ensure the scalability and efficiency of software components in handling large datasets.

7. Documentation and Reporting:
- Maintain comprehensive documentation of methodologies, data sources, and analysis processes.
- Prepare regular progress reports and contribute to academic publications.

8. Stay Current with Emerging Technologies:
- Keep abreast of the latest advancements in data science, machine learning, and relevant technologies.
- Integrate innovative approaches and tools to enhance the project's methodologies.

Qualifications

• Qualifications / Discipline:
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, with a specialization in Data Engineering and Data Architecture.

• Skills:
1. Data Science and Statistics Proficiency:
- Demonstrated expertise in data science methodologies and statistical analysis.

2. Programming Skills:
- Proficiency in programming languages such as Python, SQL, and Javascript.

3. Data Engineering and Data Architecture:
- Strong background and practical experience in Data Engineering and Data Architecture, encompassing the design and implementation of robust data structures.

4. Data Visualization:
- Proven experience using data visualization tools to present complex data in a comprehensible manner.

5. Database Management Systems:
- Hands-on experience with various database management systems, ensuring efficient data storage and retrieval.

6. Cloud Platforms:
- Familiarity with cloud platforms and the ability to leverage cloud-based solutions for data analysis and storage.

7. Communication and Collaboration:
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Proven ability to collaborate effectively within a diverse team.

• Experience:
At least 3-5 years of experience in Data Science / Data Engineering

We are recruiting a highly motivated research fellow with a strong background in neuroscience or artificial intelligence. Our current study focuses on understanding the function and organisation of cortical circuits in the mammalian brain underlying neural intelligence. We integrate various cutting-edge technologies, including a 2-photon random access mesoscope to record >10,000 neurons, electrophysiology, optogenetics and virus-mediated circuit mapping to investigate the link between neural circuits and behaviour. We are especially interested in applying concepts from AI research to neuroscience. The successful candidate will have unique expertise in cutting-edge optical technologies using awake behaving mice and learning opportunities in AI.

Key Responsibilities

• Mouse behaviour and neural recording experiments
• Histology
• Surgery
• Data analysis

Requirements & Competencies:

• PhD in science

• Programming skills

• Animal handling (mouse).

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. Boxiang Liu on performing snRNA-seq experiment and leveraging functional genomics approaches to understand the molecular mechanisms of type 2 diabetes.

The main responsibilities of the position include:
- Nuclei isolation of adipose tissue.
- Basic snRNA analysis of output data.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: Bachelor or Master degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

• Skills: Cell/molecular experiment, transcriptomics, genomics, mouse work.

• Experience: Cell/molecular experiment, transcriptomics, genomics, mouse work.

Job description
The candidate will be part of a team solving computational bioengineering problems. The responsibilities include but are not limited to:

• Research, develop and evaluate algorithms and implementations
• Work with team members to develop disease transmission models
• Brainstorming technical solutions

Job requirements

• Master or Bachelor degree in chemical engineering and bioengineering related fields
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in academic research
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving 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.

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.

This role is funded by a Pharma Innovation Programme Singapore (PIPS) research grant. The primary responsibility of the role is to deliver a novel software solution, which supposedly will run on discrete-event simulation (DES) and deep reinforcement learning (DRL) optimization algorithms, to help pharmaceutical companies enhance the agility of their multi-product manufacturing process in an uncertain environment. To this end, by working closely with subject matter experts from the PIPS member companies (i.e., GSK, MSD, Pfizer, and Syngenta), you will:

• design and execute survey / interviews with subject matter experts to understand the agreed aspects of agility and use them as the basis for this project
• develop the DES model libraries on the AnyLogic platform to simulate different kinds of activities involved in the full pharmaceutical supply chain
• develop the DES plant model optimizer using explainable DRL algorithms with user-defined objective functions
• demonstrate the utility against company-supported use cases
• prepare a user manual to help the companies quickly grasp the knowledge to use or modify the novel utility

Key Responsibilities:

1. Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
2. Undertake these responsibilities in the project:visit PIPS member companies’ production sites in Singapore for data collection and model building
   train and validate the DES models using historical plant data or synthetic data
   develop the DES model optimizer by implementing appropriate DRL algorithms and user-defined objective functions (e.g., CAPEX/OPEX, sustainability metrics, etc.), with explainability on the suggested decisions from the algorithms
   present research findings in meetings with PIPS member companies; prepare peer-reviewed publications on the findings
   guide junior researchers and undergraduate students on their research activities
   engage and communicate with vendors/suppliers for purchasing software, and visit vendors’ facilities for both software evaluation and training purpose.
   
3. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.

Job Requirements:

1. PhD in Chemical Engineering, Computer Science / Engineering or related fields. Master’s degree candidates with significant computational research experience may also be considered.
2. Previous experience with DES / Deep learning using neural networks / DRL / Explainable machine learning / AnyLogicâ would be advantageous.
3. Interest and enthusiasm for academic research to be applied in the pharmaceutical industry.
4. Good interpersonal, communication and technical writing skills. Good problem-solving skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow (Postdoc) will conduct research in the field of coastal engineering, in terms of wave dynamics and sediment transport. Coupling of different types of wave signals such as ship wakes, wind waves will be considered. The study of sediment transport will take the input from the wave dynamic simulations. Numerical simulations and experiments will be conducted.

Job Requirements

• Candidates with background in coastal and ocean engineering, especially with experience and knowledge in experiments and numerical modelling, hydrodynamics, wave theories, and sediment transport are encouraged to apply.
• Possess a PhD degree with relevant research experience.
• Strong writing skills.
• Good time management and data analytic skills.
• Excellent interpersonal and communication skills.
• Strong quantitative analysis.
• Having prior good publication record is advantageous.
• Open to fixed-term contract.

If you are a former MOE Tamil Language teacher, or a Trained Teacher with a professional teaching qualification in Tamil Language, we welcome you to join us!

To apply, please go to the Careers@Gov job post at www.go.gov.sg/moe-ttr-tl. Click "Apply Now" to complete the FormSG application form. Kindly specify your subject proficiencies and preferred teaching subjects, and remember to attach all your educational transcripts with your application. Please note that only applications submitted via the FormSG application form will be considered.

Key Personnel (KP)

Former KPs may be considered for reappointment as a KP. Please note that if there is no suitable KP position available, we will consider your application for a classroom teaching position instead.

Successful candidates will be appointed on a contract basis in the first instance.

If you do not receive a response from us within 5 weeks, you may assume that your application has been unsuccessful.

Should you encounter any difficulty in submitting your application, please contact us at [email protected] for assistance.