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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing. The Research Assistant will be responsible for working closely with the Principal Investigator to develop a cross modality registration and visualisation technique and software for radar and visual images.

The Research Assistant will be required to

(1) study characteristics of radar images
(2) develop cross modality registration techniques
(3) develop the software to implement the techniques
(4) develop the visualisation tools

Requirements

The candidate should have a basic degree in STEM courses and possess the following skill sets:

• strong in coding in python and familiar with machine learning tools
• strong in mathematics particularly linear algebra and stochastic processing
• independent and has a good sense in research

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Experimental Therapeutics Program seeks a Research Pathologist specializing in solid tumors, particularly breast cancer and nasopharyngeal cancer. The role involves providing pathology-related expertise to support translational research initiatives. This role is an exciting opportunity for a skilled pathologist to contribute to cutting-edge translational research in oncology, enhancing therapeutic strategies for solid tumors through rigorous pathological analysis and collaboration.

The selected candidate will be supporting Prof Lee Soo Chin, more information about her research available at https://csi.nus.edu.sg/researcher/soo-chin-lee/

Key Responsibilities:

1 Research Support:

• Analyze morphological features of clinical samples for research purposes.
• Score histological stains, including Immunohistochemistry (IHC), In Situ Hybridization (ISH), and Fluorescence In Situ Hybridization (FISH), in various research projects.
• Manage and provide pathology-related technologies

- Develop and optimize immunohistochemistry assays.

- Handle tissue arrays.

- Conduct laser microdissection.

- Utilize autostainer technology.

- Operate slide imaging systems.

- Use advanced microscopy systems.

2 Supervision and Teaching:

- Supervise and mentor junior staff members.

- Lead pathology-based projects.

3 Manuscripts and Grants:

- Assist in the compilation of manuscripts and grant applications.

Qualifications

Educational Background:

• MBBS or MD degree is mandatory.
  

Experience and Skills:

• Preference for candidates with several years of experience as a diagnostic histopathologist or surgical pathologist.
• Hands-on experience in one or more of the following:

- Immunohistochemistry

- Laser capture microdissection

- Construction of tissue microarrays

- Diagnostic molecular biology techniques and technologies

• Profound understanding of pathological processes at the tissue level.
• Ability to work independently.
• Proficiency in written and spoken English.
• Excellent writing and reporting abilities.
• Strong communication skills and a collaborative attitude towards working in a multidisciplinary environment.
  

Additional Considerations:

• The ideal candidate will demonstrate a strong background in the morphological analysis of tumors, with an ability to integrate pathology insights into broader research contexts.
• Proven track record of developing and implementing novel pathology techniques and contributing to multidisciplinary research teams.

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 Research Assistant/Fellow will be responsible for working closely with the Principal Investigator and lab members on one or more research projects in robot learning. He/she should possess strong knowledge and hands-on experience in the following areas: machine learning for robot manipulation and robot perception

Requirements

• Bachelor Degree in a relevant area
• Good written and verbal communication skills in English and
• Relevant research experiences

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• Working on numerical modelling of weather and climate using high resolution climate models.
• Parameterization/Optimization of the climate models
• Working on Supercomputing platforms/Linux platforms for Numerical Weather Prediction and Climate Modelling
• Data processing and data analyses
• Data visualization
• Publishing research in peer reviewed journals
• Presentation of research in workshops/conferences

Qualifications

• A Master's Degree in Climate/Atmospheric Sciences
• Good knowledge of tropical meteorology and atmospheric dynamics
• Experience in Numerical modelling with the WRF model
• Experience in handling supercomputing platforms
• Knowledge of Unix systems
• Expertise in programming languages such as NCL, GrADS, Python
• Expertise in shell scripting

Responsibilities

• Prepare sales proposals/quotations and project bids
• On-site visits/services as required
• Liaise with client/contractors/consultants on projects related issues/meetings/presentations
• Responsible for development and management of project related sales
• Other ad-hoc duties as and when directed by the management

Requirements

• Candidate must possess at least a Diploma or Degree in Engineering (Electrical/Electronic) or equivalent.
• Experience in electrical work installation and troubleshooting will be an advantage
• Experience in project management are welcome to apply
• Good technical knowledge to handle consultants and contractors
• Good problem solving and communication skills
• At least 1 year of working experience in the related field is required for this position

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 job holder is to work with PI and the research team to conduct research characterizing VOCs in urban environment.

Job Requirements

One or more of (but not limited to) the following:

• Well versed in operating PTR-TOFMS, maintenance, troubleshooting and data analyses
• Experience in handling big data via R, Python, Matlab, etc.
• Experience in laboratory (offline) VOC speciation and quantification
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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

(JR:18151)
The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

The NUS High School is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position.

Head of Department in the following subject: Math & Statistics

We are looking for candidates who possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent) and

· have a passion in the relevant teaching subjects and inspire students to love the subjects via teaching and role modelling

· can participate and contribute to the planning, development and teaching of an integrated 6-year curriculum in the relevant teaching subjects

· are effective within and outside the classroom, adopt innovative pedagogies such as IT-enabled learning, differentiated learning, collaborative learning and learner-focused interaction

· can initiate and mentor research projects

· are able to provide for the learning needs and character development of high-ability learners ranging from 12+ to 18 years of age

Requirements:

· A good Bachelor’s or higher degree in Mathematics/Applied Mathematics

· Competent in teaching Mathematics at GCE O-Level and/or GCE A-Level H2 and/or H3 content

· Driven and able to lead the department in designing, implementing and evaluating an integrated 6-year Math & Statistics curriculum

· Able to collaborate with key personnel, stakeholders and external partners in curriculum innovation and strategic planning at the school level

· Experience in curriculum and/or management work in secondary schools or junior colleges would be advantageous

Employment Terms:

2-year contract, subject to renewal

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to [email protected]

Only shortlisted candidates will be notified.

The NUS High School is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position.

Assistant Head / Teacher in the following subject: Mathematics

We are looking for candidates who possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent) and

· have a passion in the relevant teaching subjects and inspire students to love the subjects via teaching and role modelling

· can participate and contribute to the planning, development and teaching of an integrated 6-year curriculum in the relevant teaching subjects

· are effective within and outside the classroom, adopt innovative pedagogies such as IT-enabled learning, differentiated learning, collaborative learning and learner-focused interaction

· can initiate and mentor research projects

· are able to provide for the learning needs and character development of high-ability learners ranging from 12+ to 18 years of age

· are able to contribute as an effective Co-curricular Activities (CCA) teacher and form-teacher

Requirements:

· A good Bachelor’s or higher degree in Mathematics/Applied Mathematics/Computer Science

· Competent in teaching Mathematics at GCE O-Level and/or GCE A-Level H2/H3 content

· Coding experience in Python, C or Java is advantageous

· Research work experience is desirable – able to offer and guide Mathematics/interdisciplinary research projects for high school students

· Driven and able support Head of Department to lead the department in designing, implementing and evaluating an integrated 6-year Math & Statistics curriculum

· Able to collaborate with key personnel, stakeholders and external partners in curriculum innovation and strategic planning at the school level

· Experience in curriculum and/or management work in secondary schools or junior colleges would be advantageous

Employment Terms:

2-year contract, subject to renewal

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to [email protected]

Only shortlisted candidates will be notified.

The NUS High School is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position.

Assistant Head / Teacher in the following subject: Physics & Engineering

We are looking for candidates who possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent) and

· have a passion in the relevant teaching subjects and inspire students to love the subjects via teaching and role modelling

· can participate and contribute to the planning, development and teaching of an integrated 6-year curriculum in the relevant teaching subjects

· are effective within and outside the classroom, adopt innovative pedagogies such as IT-enabled learning, differentiated learning, collaborative learning and learner-focused interaction

· can initiate and mentor research projects

· are able to provide for the learning needs and character development of high-ability learners ranging from 12+ to 18 years of age

· are able to contribute as an effective Co-curricular Activities (CCA) teacher and form-teacher

Requirements:

· A good Bachelor’s or higher Degree in Physics or Engineering

· Competent in teaching Physics at GCE O-Level content or GCE A-Level H2 content

· Knowledge in Astronomy and able to support Astronomy CCA will be an advantage.

· Driven and able to support Head of Department to lead the department in designing, implementing and evaluating an integrated 6-year Physics & Engineering curriculum

· Research experience in Physics or Engineering areas and ability to guide students in research projects will be advantageous

Employment Terms:

2-year contract, subject to renewal

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to [email protected]

Only shortlisted candidates will be notified.

The NUS High School is a specialized school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position.

Head of Department in the following subject: Mother Tongue & Foreign Languages

We are looking for candidates who possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent) and

· have a passion in the relevant teaching subjects and inspire students to love the subjects via teaching and role modelling

· can participate and contribute to the planning, development and teaching of an integrated 6-year curriculum in the relevant teaching subjects

· are effective within and outside the classroom, adopt innovative pedagogies such as IT-enabled learning, differentiated learning, collaborative learning and learner-focused interaction

· can initiate and mentor research projects

· are able to provide for the learning needs and character development of high-ability learners ranging from 12+ to 18 years of age

Requirements:

· A good Bachelor’s or higher degree in Chinese

· Competent in teaching Higher Chinese, Chinese and Basic Chinese Language at GCE O-Level and GCE A-Level standard

· Driven and able to lead the department in implementing and enriching Mother Tongue curriculum

· Able to collaborate with key personnel, stakeholders and external partners in curriculum development and strategic planning

· Experience in curriculum and/or management work in secondary schools or junior colleges would be advantageous

Employment Terms:

2-year contract, subject to renewal

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to [email protected]

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 successful candidate will work with Dr Tan Yan Shuo on statistical and machine learning theory under a project on the theoretical foundations of decision trees and ensembles.

The main responsibilities of the position include:
Proving theorems, forming new theoretical hypotheses, performing simulations, writing papers to communicate results, all under the PI’s direction.

Qualifications

• Qualifications / Discipline:
PhD in Statistics, Computer Science, or related field.

• Skills:
Strong mathematical training, deep understanding of statistical machine learning theory, especially in decision trees and ensembles.

• Experience:
Has several first author papers published in top machine learning venues (ICML, NeurIPS, AISTATS, JMLR).

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 Senior Research Fellow (Data Science & Statistics) in the Centre for Research in Health Systems Performance, Yong Loo Lin School of Medicine.

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

Job Description

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw See Hock School of Public Health.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 2-year full-time appointment at the academic rank of Senior Research Fellow (particularly strong applications at the level of Research Fellow will be considered). An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. There is the possibility to move to tenure track depending on performance. Start date is flexible, with the position expected to commence in the first half of 2024.

Purpose of the post

CRiHSP is hiring a highly motivated and experienced postdoctoral researcher. The successful candidate will bring a combination of technical expertise in data science and applied statistical methods in health systems research. They will make a significant contribution to setting up and developing the centre at this crucial stage in relation to its research, training, and evaluation and engagement areas of activity. The successful candidate will report to the CRiHSP Director of Research. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future of healthcare and clinical practice.

Main Duties and Responsibilities

The responsibilities include:

• Establishing an independent research programme as aligned with CRiHSP priorities by securing external funding;
• Supervising of junior research staff in data collection, analysis and dissemination;
• Contributing to research programmes and projects led by other researchers in CRiHSP;
• Facilitating the integration and curation of clinical and other routinely collected data across (NUHS)
• Contributing to postgraduate course design and teaching and on the job training of evaluation fellows; and
• Mentoring of students and junior researchers.

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances. In addition to these duties, the post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• A recognized Doctoral degree in Data Science, Statistics or a closely related field with a strong post-doctoral research record (essential)
  

Experience

• At least 4 years' postdoctoral experience
  Proven track record in handling and analyzing large healthcare dataset (essential)
  Track record of publishing in international peer-reviewed journals (essential)
  Researchers with existing research activities related to developing and using artificial intelligence methods in the context of health systems research are particularly encouraged to apply
  

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
  Strong leadership skills with the ability to work independently and as part of a multidisciplinary team (essential)
  Highly developed problem-solving skills and adept at managing complex research data (essential)
  Evidence of potential to generate and maintain an independent stream of funding (essential)
  Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  Ability to work with culturally diverse populations (essential)
  

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Prof Jose M Valderas 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) as well as a cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above.

The Student Affairs and Services Manager reports to the Vice Principal(Administration) and supervises the department.

He/She is responsible for the management of student affairs matters such as:

· Overseas trips

· Admissions, withdrawals and leave of absence

· Insurance

· Student surveys

· Student finance matters

~ Bursaries, scholarships and Edusave

~ Government grants for students

~ Payment for school enrichment programmes, equipment and other purchases payable

· Communications with parents

· Student-related administrative matters

· Internal and external student services such as:

~ Uniform

~ Bookshop

~ Sickbay

~ Dental

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 position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Duties And Responsibilities

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

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.

(“Research fellow” is similar to “post-doctoral researcher”, in the terminology of some other countries.) The appointee is expected to work closely with Associate Prof. YU Haifeng (http://www.comp.nus.edu.sg/~yuhf) on issues related to distributed systems security and distributed computing. A key goal of the research will be to produce high-impact academic publications in premier conferences (such as CCS and SP) and journals in the area. Please see http://www.comp.nus.edu.sg/~yuhf for some example prior publications from Associate Prof. YU Haifeng’s research group.

Qualifications

- At least a PhD degree from a good university

- Good publication record

- Fluent in written and spoken English

- Ability and dedication to do world-class research

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

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

We regret that only shortlisted candidates will be notified.

Job Responsbilities

The Research Assistant will participate in seagrass research, with a specific focus on studying effects of nutrient enrichment on marine plants. The Research Assistant will lead and execute aquarium experiments, laboratory analysis and field sampling. Specific tasks include planning and conducting experiments, running laboratory analyses, collection and analysis of data, and performing basic administrative duties.

This position reports to the Principal Investigator at Tropical Marine Science Institute and is based at St John Island National Marine Laboratory on offshore St John Island, Singapore. This position is for 1 year; after the first year, renewal is subjected to performance review.

Qualifications

• Bachelor’s Degree in Biological Science, Environmental Science, or related field
• Proficient with basic Microsoft Suite
• Prior experience with seawater aquarium facilities and/or field work is highly preferred.
• Must be willing to do intertidal field work, which entails working in muddy environment and working around low tide timings.
• Self-motivated, driven, and a keen interest in research
• Effective oral and written communication skills in English

The NUS High School is a specialized school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science.

We are inviting suitable applicants for the following position:

Senior Executive, Partnership & Internationalization (2-Year Contract)

We are looking for candidates to provide support to the Partnership & Internationalization Department in the planning and executing of local and international programmes and that will support students’ learning and handle operational and administrative works for school events. You will work with multiple stakeholders including parents, teachers, alumni, industry partners, overseas schools in the course of work.

Key responsibilities:

· Plan and organize student exchange programmes including outbound overseas trips and hosting of inbound visits by overseas delegations, with attention to details related to specific logistical arrangements, timeline, budget & expenses, available resources etc.

· Manage and support logistics arrangements such as flights, accommodation, visa, transport etc. for overseas programmes involving staff and students.

· Source and collaborate with industry partners and other stakeholders on internships and job shadowing opportunities, manage student applications and monitor students’ internship progress and placements.

· Plan and organise STEM and innovation related learning journeys for students.

· Cultivate, develop and maintain international and local partnerships such as expanding database and network of existing and potential partners; providing support for delivery of relevant partnership programmes; facilitating memorandum of understanding signing; maintain centralized records of partnership database etc.

· Provide operational and logistical support for school events such as registration for the biennial Singapore International Mathematical and Modelling Challenge organized by the School etc.

· Support day to day administrative tasks such as providing timely report of programme data, publication collaterals, track relevant event KPIs, or other departments’ duties etc.

Requirements:

· · At least a Diploma/Degree from a reputable institution

· Preferred 1 – 2 years of relevant work experience in events and partnership management

· Strong administrative and organizational skills

· Meticulous and detail-oriented with high standards on logistical and operational arrangements

· Good analytical, planning, facilitation and problem-solving skills

· Strong interpersonal and communication skills (both verbal and written)

· Willing to travel overseas

· Proficient in Microsoft Office Suite with proficiency in MS Excel

· Pro-active, self-motivated and strong team player

· Drive and passion in working with students and other stakeholders of the school

· Effectively bilingual for correspondences with Chinese counterparts and able to do design work will be an advantage.

Employment Terms:

2-years contract, subject to renewal

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to [email protected] by 4 May 2024.

Only shortlisted candidates will be notified.

The NUS High School is a specialized school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science.

We are inviting suitable applicants for the following position:

EXECUTIVE, HR (CONTRACT)

Employment Term:

June 2024 – February 2025

We are looking for candidates to provide support to the Human Resource Department in areas such as recruitment, onboarding & offboarding.

Key responsibilities:

· Manage activities in relation to recruitment, onboarding and offboarding for employees, new-hire orientations and data entry in human resources information systems (HRIS)

· Maintain employee files and records in electronic and paper form

· Generate official internal documents such as confirmation letters, employment letters and resignation acceptance letters

· Provide advice to employees in various HR-related topics such as leaves and compensation and resolve any issues that may arise

· Track government-paid Leave (Paternity/Maternity/Childcare) for timely submission

· Ensure compliance with local employment legislations and update policies and procedures when necessary

· Other ad hoc HR functions as and when required

Requirements:

· Possess at least Diploma in Human Resource Management or equivalent qualification in relevant discipline with 3 years or more relevant working experience

· Excellent interpersonal and communication skills, both written and oral

· High IT literacy and strong numerical and analytical skills.

· Proficient in MS Office applications including MS Excel.

· Resourceful and self-driven with high degree of professional integrity.

· Positive work attitude and has initiative

· Meticulous and a good team player

· Experience in SuccessFactors is an advantage

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to [email protected] by 4 May 2024.

Only shortlisted candidates will be notified.

We are looking for an experienced Food Science and Innovation Director with passion for food, people and innovation, who can generate and manage major innovation projects.

This critical role oversees the development of innovative products from conceptualization to commercial launch. They oversee all aspects of the NPD process including identifying market trends and opportunities, managing projects and teams, developing intellectual property, bringing new products and services to market, and evaluating opportunities for licensing or acquisition.

Accountabilities:

• Managing the end-to-end NPD process including prototyping, sensory testing, and process scaling
• Partnering with leading global food companies on co development of innovating new products that unlock consumer demand
• Driving cross-functional NPD projects in partnership with representatives from marketing, manufacturing, quality assurance, procurement, and finance
• Monitoring food science and nutrition trends, ingredients innovations, and emerging technologies for product development opportunities
• Ensuring NPD portfolio delivers on revenue growth, margin, and launch timing goals.
• Protecting intellectual property related to proprietary ingredients, product formulations, and process technologies.
• Building partnerships with universities, research institutes, and other companies

Minimum Skills Required:

• 10+ years of management experience directing food product development projects that have successfully launched into retail or foodservice markets.
• Advanced degree in food science or technology
• Supervisory/managerial experience required.
• Familiarity with food science equipment required.
• Project Management experience required.
• Experience with consumer insights, culinary innovation, and nutrition.
• Successful track record developing and implementing category growth strategies
• Strong leadership, communication, presentation, and interpersonal skills
• Ability to simplify complex ideas and present strategic recommendations.
• Knowledge of alternative protein industry including supply chain and pricing dynamics
• Required To Travel: up to 25% of time

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

(1) Design and Synthesis of electrocatalyst for oxygen evolution reaction of water electrolysis.
(2) Structure characterization and simulation of the obtained electrocatalysts.
(3) Performance test and mechanism study of the obtained electrocatalysts.

Qualifications

Master degree in MSE, Chemistry or other relevant majors.

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 senior post-doctoral position with more than 3 years post Ph.D experience in Biomedical research. Candidate should ideally have cancer biology background with expertise in mitochondrial biology and cellular apoptosis. A suitable and successful candidate will be given the responsibility to design and conduct experiments with specific abilities in cell death and apoptosis using various quantitative and functional assays. The candidate should be available to commence as soon as possible.

Qualifications

• Previous experience in functional genomics/precision oncology approaches to work on resistant models of lung cancers to identify mechanism(s) of resistance in resistant models of lung cancers.
• Experience with the development of functional assays for phenotypic screening, involving the use of high-throughput flow cytometry, high-content drug screening, and large scale data analysis.
• Willingness to pick up mentorship position for Ph.D students and junior members.
• Previous experience with handling and analysing human clinical samples will be preferred.
• A Ph.D in cancer biology (>3 years)
• Strong track record of research achievement supported by high-quality publications in relevant field (BCL-2 and cell death biology).
• Skills in hands-on use of relevant research methods.
• Able to work independently, with strong problem-solving ability.
• Effective communication and presentation skills, with a strong track record of presentations at international conferences.

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

Learn more about GovTech at tech.gov.sg

About us – National Digital Identity (NDI)

Imagine citizens having a common and secure digital identity that will make their lives so much easier, and open doors to a plethora of services for them - allowing citizens to do everything from accessing health prescriptions, completing government transactions to starting a bank account through their smartphone.

The Singpass team builds Singapore’s digital identity system. This includes various personal authentication protocols, data sharing tools, and corporate identity systems through Corppass. The mission of the Anti-Fraud team is to minimize the number of compromised Singpass accounts, and the damage done with them. This includes live monitoring for suspicious login behaviour, longer term fraud analytics, and collaborating with partners take action on compromised accounts.

What you will be working on:

• Work with partners to understand the evolving problems and strategize about what data and techniques would be needed to solve them.
• Lead discussions with business stakeholders to establish business requirements, evaluate technical feasibility and data availability required.
• Work with large, complex datasets and applying advanced analytical methods to build machine learning models and deploy the most appropriate solution.
• Build and develop machine learning-based models e.g. recommendation engine(s), predictive models and track their effectiveness.
• Apply the use of machine learning techniques (e.g. deep learning, neural networks, etc..) to improve the current analytics capability.
• Provide inputs to the design and development of an integrated data model to allow analysis across multiple structured and unstructured datasets.
• Build and operate production systems together with engineers to serve these solutions.
• Share your expertise and mentor other data scientists.

What we are looking for:

• Possess strong analytical, conceptualisation, and problem-solving skills. Able to take broad, strategic perspectives, and when necessary, drill deep to understand business needs and challenges.
• Familiar with machine learning models for forecasting, classification, and recommendations.
• Strong in statistical programming tools (e.g. R, Python) and database languages (e.g. SQL)
• Experience in leading a data science team.
• Have excellent oral and written communication skills, along with the ability to pitch ideas and influence stakeholders at all levels on the adoption of analytics.
• Able to present technical concepts and results of technical analyses to non-technical audience effectively.
• Adaptable to dynamic operating contexts and able to work with multiple stakeholders across different teams.
• Strong people manager who can inspire, motivate, and grow the team and has strong organisation skills.
• Have passion for improving public service using analytics and data.

We are an equal opportunity employer and value diversity at our company as we believe that diversity is meaningful to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you – so work from home or take a break to exercise if you need to*.

We also believe it’s important for you to keep honing your craft in the constantly-evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round.

*Subject to the nature of your job role that might require you to be onsite during fixed hours

Full Stack Infrastructure Developer

The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on integrating modelling and simulation tools with a distributed computational backend to serve the diverse needs of the multi-disciplinary research team and the project stakeholders, including scientific experimentation, modelling and simulation, and the federation of a system-of-systems to address complex policy issues for governmental agencies and affiliated organisations.

The responsibilities include but are not limited to:

• Design a system architecture for the infrastructure.
• Strategise and execute a phased deployment plan for the infrastructure.
• Develop integration capabilities (e.g., APIs, microservices) to connect system components.
• Set up and optimise database and storage systems to support compute-heavy workloads.
• Set up a workflow management system to submit jobs onto a distributed computing cluster.
• Adapt simulation models and AI/ML flows into reusable workflow tasks.
• Package models and pipelines into exportable workflows (e.g., Argo flow, Airflow).
• Deploy full-stack solutions onto on-premises, cloud, or hybrid deployments.
• Automate infrastructure and code management with CI/CD (e.g., Jenkins).
• Implement information security schemes to control and monitor access.
• Construct test cases to ensure correctness, robustness, scalability, and security of the platform.
• Contribute to open-source development for selected system components.
• Support other development activities (e.g., simulation integration, machine learning, frontend).

Education and experience requirements:

• Bachelor's or Master's degree in computer science, software engineering, or related fields.
• Minimum of two years of experience in full stack development, data science, or systems engineering.

Technical skills:

• Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
• Strong experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Strong proficiency with continuous integration and continuous deployment (CI/CD) pipelines.
• Experience with infrastructure as code (IAC) tools (e.g., Ansible, Terraform).
• Experience with database management systems, such as SQL and NoSQL databases.
• Experience in system administration, including Linux server management.
• Experience with version control systems (e.g., Git).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, or Google Cloud).
• Understanding of networking and security best practices.

Soft skills:

• Excellent communication skills to collaborate with interdisciplinary teams.
• Strong problem-solving and critical thinking abilities.
• Strong project management and time management skills.
• Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
• Adaptability to work in a fast-paced, dynamic research environment.

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.

Full Stack Infrastructure Developer

The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on integrating modelling and simulation tools with a distributed computational backend to serve the diverse needs of the multi-disciplinary research team and the project stakeholders, including scientific experimentation, modelling and simulation, and the federation of a system-of-systems to address complex policy issues for governmental agencies and affiliated organisations.

The responsibilities include but are not limited to:

• Design a system architecture for the infrastructure.
• Strategise and execute a phased deployment plan for the infrastructure.
• Develop integration capabilities (e.g., APIs, microservices) to connect system components.
• Set up and optimise database and storage systems to support compute-heavy workloads.
• Set up a workflow management system to submit jobs onto a distributed computing cluster.
• Adapt simulation models and AI/ML flows into reusable workflow tasks.
• Package models and pipelines into exportable workflows (e.g., Argo flow, Airflow).
• Deploy full-stack solutions onto on-premises, cloud, or hybrid deployments.
• Automate infrastructure and code management with CI/CD (e.g., Jenkins).
• Implement information security schemes to control and monitor access.
• Construct test cases to ensure correctness, robustness, scalability, and security of the platform.
• Contribute to open-source development for selected system components.
• Support other development activities (e.g., simulation integration, machine learning, frontend).

Education and experience requirements:

• Bachelor's or Master's degree in computer science, software engineering, or related fields.
• Minimum of 5 years of experience in full stack development, data science, or systems engineering.

Technical skills:

• Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
• Strong experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Strong proficiency with continuous integration and continuous deployment (CI/CD) pipelines.
• Experience with infrastructure as code (IAC) tools (e.g., Ansible, Terraform).
• Experience with database management systems, such as SQL and NoSQL databases.
• Experience in system administration, including Linux server management.
• Experience with version control systems (e.g., Git).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, or Google Cloud).
• Understanding of networking and security best practices.

Soft skills:

• Excellent communication skills to collaborate with interdisciplinary teams.
• Strong problem-solving and critical thinking abilities.
• Strong project management and time management skills.
• Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
• Adaptability to work in a fast-paced, dynamic research environment.

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.