Lecturer (Artificial Intelligence & Data Science)

The job of an academic is challenging but meaningful. Not only will s/he have both the knowledge and working experience, s/he must also possess a passion for working with youths, nurturing and moulding their characters.

There will be opportunities to:

• Lead and collaborate with industry in AI/DSA projects that support the Nation’s data and digital transformation effort
• be involved in consultancy and other applied research projects.
• train students and coach junior staff in the area of specialisation.
• develop curriculum, introduce new courses
• Administrative work related to teaching and School/Institutional strategic initiatives will also be an important part of the job.

The appointee must be competent to teach at diploma and higher levels in any one of the following areas:

• Artificial Intelligence (AI)
• Computer Vision (CV)
• Data Science (DS)
• Data Analytics (DA)
• Natural Language Processing (NLP)
• Cloud Computing (CC)

The appointee should also be able to teach in any one of the following areas:

• Mathematics
• Statistics
• Computing

The appointee will also be required to teach at least one of the following broad-based, foundational modules under the common core curriculum to enable our students to have the necessary emerging digital skills and human skills.

• Data Fluency
• Artificial Intelligence and Its Impact
• Persuasive Communication with Data Storytelling
• Problem Solving with Creative and Computational Thinking

Responsibilities:

• Conduct lessons, create teaching and assessment materials and mentoring of students
• Develop and maintain new/existing teaching curriculum for modules stated above
• Undertake projects/consultancy work with both internal and external stakeholders, in area of AI, DS, CV, DA, NLP and/or CC
• Coordinate, develop and maintain new/existing teaching curriculum that would enhance students’ performance, learning and employability.

Requirements:

• Passionate about education and possess good values
• Team player with the ability to work independently
• Possess deep knowledge and keep abreast of trends of latest developments in the area of AI, DS, CV, DA, NLP and/or CC, to keep the student training and curriculum up to date and relevant, and build staff capability.
• Experience in cloud computing or software engineering, particularly in the deployment of AI/DS models into production is preferred
• Resourceful and innovative with initiative

Successful candidate will be offered a 2-year contract in the first instance.

If you are shortlisted for the position(s), you should hear from us within 30 days of the closing date of the advertisement.

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 Jing group is looking for two postdoctoral research fellows for projects on electrochemical flow systems or strongly correlated fields. The group combines electrochemistry and flow chemistry to electro-synthesize redox active materials in flow systems which can be used for aqueous organic flow batteries-based long-duration energy storage or carbon capture.

Qualifications

The successful candidate should have a PhD degree with expertise in some of the following areas:
1. Design, synthesis, and characterization of electroactive materials
2. Design, assembly, and optimization of electrochemical flow systems
3. Theoretical and simulation approaches for strongly correlated materials and systems

The successful candidate should also have:
• Strong communication skills,
• motivation in scientific research, and
• experience in writing scientific papers

Recent Ph.D. and postdocs with a background in materials science and engineering, organic chemistry, electrochemistry, or a related field or candidates with a strong background in flow batteries or organic synthesis are encouraged to apply.

Job Description
Yale-NUS College is a highly selective liberal arts and science college in Singapore. Co-founded by Yale University and the National University of Singapore, the College is committed to excellence in research and teaching within a full residential programme that integrates living and learning. Its curriculum educates students in Asian and Western intellectual traditions as well as current scientific thought.

In order to enhance the research and teaching environment of the College, we welcome senior scholars to spend one or two semesters on our campus. The visiting faculty will be actively involved in research, preferably in cognate research areas with Yale-NUS faculty research fields, and will be asked to teach one or two courses per semester of their visit. We are currently seeking a Visiting Professor to teach two (2) courses in Semester 1 of Academic Year 2024-2025.

Candidates should have a PhD degree with an excellent track record in research related to Political Science. Research achievements should include publications in leading peer-reviewed journal or conference commensurate with career stage.

Job Requirements

Extensive teaching experience and passion for undergraduate education is essential.

Application Procedure
Applications should consist of the following: a cover letter explaining why the position at Yale-NUS is of interest; a full curriculum vitae, including a complete list of publications; statement on research interests, teaching experience and teaching philosophy, including how these might fit with the College’s particular mission and curriculum and other relevant documents.

We regret that only shortlisted candidates will be notified. For general inquiries about visiting appointments at Yale-NUS, please write to the College’s Human Resources via email at [email protected].

Equal Opportunity Employer
Yale-NUS College achieves excellence through the diversity of its students, faculty, and staff and by embracing inclusivity, equity, and global engagement. We encourage applications by diverse individuals with a demonstrated commitment to these values. For more information about the College, please visit https://www.yale-nus.edu.sg

Personal Data Protection Act (PDPA)
Candidates should understand that by sharing information with Yale-NUS, they authorise the College to use their personal data for the purposes of this application. The College will not use their data for other purposes and ensure that their data remains secure and confidential.

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 intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.

Qualifications

• A PhD in statistics or a related field is required.

Support teaching and learning in the following areas:

• Preparation of laboratory materials, hand tools, and components for lessons and examinations
• Troubleshoot and maintenance of laboratory tools and instruments
• Management of laboratory space for student projects, project equipment, materials and storage
• Assist in managing activities in the laboratories and ensure safety procedures are observed

Perform daily housekeeping and maintenance to ensure the safety, cleanliness, and tidiness of laboratories

Liaise with vendors and evaluate quotations from suppliers for laboratory equipment and electronics components

Track and maintain laboratory documentation (i.e., Risk Assessments and Components Data Sheets) and inventory of laboratory equipment, hand tools and components

The LKY School of Public Policy is seeking Research Assistant(s) who will assist with ongoing projects in the field of social science, including financial literacy, economics of aging, social security, and public policy.

The successful candidate should have an interest in one or more of the above-listed topics, as well as the ability to work independently with minimal supervision and a strong willingness to learn about new topics. The candidate must demonstrate some competence in quantitative research methods, and be proficient with statistical software such as STATA or R. Excellent written and spoken English is essential.

This position requires a minimum of two years of professional research experience or working in a research environment (in any field). This position requires working with large datasets, and caters to individuals who are looking to develop a career or pursue further studies in the fields of public policy or social science research. The Research Associate will work directly with Asst Professor Joelle Fong

Responsibilities of the full-time Research Associate include:

• Research support for projects under a 5-year research programme
• Conduct literature reviews
• Perform quantitative data analysis on research projects.
• Independently collect and manage primary and/or secondary data for research projects • Contribute to writing research reports, policy briefs, and journal articles
• Prepare manuscripts for submission, and other administrative work.

Job Requirements:

• Have a Bachelor’s/Master’s degree in the social sciences from a reputable university.
• Minimum of two years of full-time professional research experience or work in a research environment (in any field).
• Demonstrate strong programming skills using either Stata or R (experience with other programs is a plus)
• Excellent spoken and written English.
• Self-motivated and attention to detail.
• Able to commit to at least 1 year of service.

To Apply:

• Cover letter, with a brief statement of relevant research experience
• Curriculum vitae (four-page max)
• Two writing samples (e.g. essays, written reports, short articles)
• Two references/letters of recommendation from academic referees. Applicants must arrange for their referees to separately email their references.

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 intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.

Qualifications

• A PhD in statistics or a related field is required.

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

We are seeking a dedicated and skilled Mouse Work Lab Technician/Lab Executive/Research Assistant/Research Associate to join our team!

If you are passionate about contributing to ground-breaking research and have expertise in mouse handling, genotyping, and related techniques, we want to hear from you.

Duties And Responsibilities

• Perform mouse breeding, weaning, and maintenance with exceptional attention to animal welfare standards.
• Conduct genotyping assays and maintain accurate records of breeding colonies.
• Administer experimental treatments, monitor health status, and assist in the collection of biological samples.
• Collaborate with researchers and provide technical support for mouse-related experiments.
• Ensure compliance with ethical and regulatory guidelines for animal research.

Qualifications

• Bachelor's degree in a relevant field (Biology, Animal Science, etc.).
• Proven experience in mouse handling, genotyping, and related techniques.
• Familiarity with ethical standards and regulations governing animal research.
• Strong organizational and communication skills.
• Ability to work collaboratively in a team-oriented research environment

The Department of Computer Science at the National University of Singapore (NUS) invites applications for tenure-track and educator-track positions in all areas of computer science. Candidates for Assistant Professor positions on the tenure track should be early in their academic careers and yet demonstrate outstanding research potential, and a strong commitment to teaching. Candidates for senior positions should have an established record of outstanding, recognized research achievements, and thought leadership in his/her chosen area of computer science.

The Department enjoys ample research funding, moderate teaching loads, excellent facilities, and extensive international collaborations. We have a full range of faculty covering all major research areas in computer science and boasts a thriving PhD program that attracts the brightest students from the region and beyond. More information is available at www.comp.nus.edu.sg/careers.

NUS is an equal opportunity employer that offers highly competitive salaries, and is situated in Singapore, an English-speaking cosmopolitan city that is a melting pot of many cultures, both the east and the west. Singapore offers high-quality education and healthcare at all levels, as well as very low tax rates.

Application Details:

Submit the following documents (in a single PDF) online via: https://faces.comp.nus.edu.sg

• A cover letter that indicates the position applied for and the main research interests
• Curriculum Vitae
• A teaching statement
• A research statement
• A diversity statement (optional)
• Contact information of 3 referees

Job requirement:

A PhD degree in Computer Science or related areas

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 intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.

Qualifications

• A PhD in statistics or a related field is required.

Ranked top 50 most attractive employers in Singapore - The Straits Times Singapore's Best Employers 2023

The job of an academic is challenging and meaningful. Not only will he/she have both the knowledge and working experience, he/she must also possess a passion for working with youths, nurturing them and moulding their characters. There will be opportunities to develop the curriculum, introduce new courses as well as be involved in consultancy and other applied research projects. Administrative work related to teaching and School/Institutional strategic initiatives will be an important part of the job too. Successful candidates will be expected to be resourceful and innovative with initiative and good communication skills.

The School of Chemical and Life Sciences (CLS) offers a wide range of courses to train technologists for the following key industries: food, chemicals, biopharmaceuticals and healthcare.

The job of an academic is challenging and meaningful. Not only will he/she have both the technical knowledge and working experience in the relevant discipline, he/she must also possess a passion for working with both young and adult learners, nurturing them to be work ready, life ready and world ready. There will be developmental opportunities to develop curriculum, introduce new programs as well as be involved in consultancy and applied research projects. Administrative work related to teaching and school/institutional strategic initiatives will be an important part of the job too. Successful candidates will be expected to be resourceful and innovative with initiative and good communication skills.

The appointee must be competent to teach two or more of the following areas:
• Food Process Engineering
• Food Packaging
• Food Biotransformation
• Food Ingredients
• Innovation in Alternative Proteins

Responsibilities:-

• Conduct lessons, develop teaching and assessment materials, and facilitate learning for both Pre-Employment Training (PET) and Continuing Education and Training (CET) students
• Develop new and maintain existing teaching curriculum. This includes continual review of existing curriculum to make recommendations on areas of improvements that would enhance students’ performance, learning and employability
• Keep abreast of current developments and trends in the food industry so that curriculum is up to date
• Enhance students’ learning through in-class and out of classroom learning such as training students for competitions, guiding them on career choices, supervising projects and internships, and leading projects for overseas learning and community service
• Support the School’s strategic initiatives through involvement in committee work and consultancy projects with industry partners
• Handle teaching related administrative work such as preparation of teaching materials and coordination of assessment by the teaching team
• Provide pastoral care for students

Requirements:-

• At least 2 years' relevant working experience in food innovation/ processing/ safety
• Good insights of the food industry trends and experience in alternative proteins/ food waste valorisation
• Good analytical and problem solving skills
• Flexible, adaptable and have a growth mind-set to teach new modules
• Possess strong interest in exploring new technologies and pedagogical approaches
• Enthusiastic and positive individual who enjoys working in a dynamic environment and thrives under pressure
• People-oriented individual with strong interpersonal, written and communication skills
• Possess good teamwork attributes

Successful candidate will be offered a 2-year contract in the first instance.

If you are shortlisted for the position(s), you should hear from us within 30 days of the closing date of the advertisement.

Job Responsibilities:

• Implement the program for the class in accordance with the policies, guidelines, framework and philosophy of the centre.
• Guide primary school children (primary 1 to 6) to ensure completion of daily homework
• Keep accurate records of children’s progress and address each child’s educational and developmental needs on an individual basis to the best of your ability.
• Responsible for the preparation and upkeep of teaching resources, arrangement, appearance and learning environment of the classroom.
• Maintain and build relationships with children and parents.
• Conduct MindChamps unique enrichment programmes.
• Being an inspiring role model with a creative spirit and a champion (positive) mindset.
• Ensure safety and timely transfer of students from school to student centre
• Ensure safety of children within the premises
• Any other ad-hoc duties as delegated by Centre Director

Job Requirements:

• Diploma or higher in any discipline with a minimum of 2 years of teaching experience with primary school students.
• Able to teach primary school subjects
• Possess good communication and classroom management skills.
• Enthusiastic & energetic and has a positive mindset to learn and grow together with the company.
• Creative and loving energy with a positive disposition
• Excellent communication and classroom management skills

LEVELS DEPENDS ON EXPERIENCES: Teacher / Senior Teacher / Lead Teacher

· Position: Junior Indoor Sales Officer

· Location: Loyang Walk (company transport provided)

· Working hours: Monday to Friday (9am - 6.15pm) & once a month Saturday (9am - 12pm)

· Salary (commensurate with experience): Up to $3,500 + Daily Meals Provided + Performance Bonus

· Duration: Permanent

· Industry: Manufacturer

Main Responsibilities:

· Follow up on behalf of MD for new customers enquiries & follow through on order confirmation

· Communicating with customers, making outbound calls to potential customers, and following up on leads as provided by MD

· Handle potential customers' enquiries and gather feedbacks/comments on product samples and direct to relevant departments

· Generate sales report & quotations

· Co-ordinate and handle admin for specific export shipments

· Any other ad-hoc task as assigned by the MD

Requirements:

· Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only

· Ability to manage multiple tasks simultaneously

· Minimum Diploma, Food Science or related

Email to: [email protected]for more information.

Do visit www.facebook.com/search.personnel for more job listings.

***We do not charge our candidates any referral fee nor bind them with any contract.***

Abby Pang

Associate Consulting Director (APAC)

Reg no.: R2093867

EA No: 13C6684

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 Somabha Mukherjee on Causal Network Inference under a project on Statistical Inference for Network-Dependent Data: High-Dimensional Feature Selection & Inference in Higher Order Markov Random Fields.

The main responsibilities of the position include:
Running simulations, doing real data analysis, and proving theoretical guarantees for causal network recovery algorithms.

Qualifications

• Qualifications / Discipline: Statistics and Data Science/ Related Field Master.

• Skills: Coding with Python/R; familiarity with basic theoretical statistical tools and techniques.

• Experience: Advanced bachelor/master student

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

As a Senior Scientific Officer, you will be tasked but not limited to planning and executing the grant-making process, annual budgeting, exploring funding opportunities, and managing documents and deadlines. You will need to provide consultation and administrative support to Programmatic Theme Leads, Principal Investigators and other faculty on operational and grant related matters. You will serve as liaison with NUS research offices, Office of Legal Affairs, Industry Liaison Office and external funding agencies on issues of intellectual property, project and research collaboration agreements, MTAs, NDAs, etc. You will also be working closely with the Outreach, HR and Finance department on grant administrative and research events.

Duties and Responsibilities

Research Grant Management and Coordination

• Assist with grant applications and managing the review process with proper documentation on IRB/ DSRB, IACUC ethics/safety & risk protocols, regular progress/ appraisal/ other research regulatory requirements
• Promote the development of external funding strategies for research, academic projects, and institutional priorities
• Provide resources and assistance to faculty, staff, and administrators in searching for external funding opportunities, budget preparation and updating biosketches of Principal Investigators
• Assist with preparation and submission of requests for external funding, including grants, sub-awards, and contracts
• Ensure that policies and procedures for compliance with research-related regulations are up-to-date and reviewed regularly.
• Provide bibliometrics on research grants as required

Research Program & Project Management

• Provide strategic input for the development of proposals for project and budgeting
• Develop, manage, and evaluate research themes through direct collaboration with Principal Investigators, clinicians and Theme Leads to strengthen the strategy for each of the projects and coordinate these toward building a cohesive program
• Coordinate the development and maintenance of effective research themes group communication systems
• Preparation of budgets for research grants, virements and tracking of grants
• Planning and scheduling of research meetings, writing meeting minutes and coordinating research/other meetings as well as following up decisions made and other necessary actions as required
• Ensure good and tidy document housekeeping and timely correspondence:
  Maintain letters of award, approvals, amendments, etc.
  Maintain grants data and progress reports

Qualifications

• At least PhD in Life Sciences, Medicine, or related field
• Preference will be given to candidates with experience in:
  Science Project Management
  Research Grant Management or Administrative
  Scientific legal matters e.g., MTA, service agreements, RCA, patent filing etc.
• Able to work independently, effectively and a good team player
• Proactive, meticulous, analytical, resourceful and organized
• Demonstrated ability to deliver results to the appropriate quality and timeline metrics.
• Excellent writing and reporting ability
• Excellent communication and presentation skills
• Proficient in Microsoft Suite (including Word, PowerPoint, Excel, Outlook, and Teams), Adobe and Zoom applications

Resposibilities :

- Responsible for facilitating order management transactions

- Creating sales order, delivery orders and coordinating distribution and shipment efforts using SAP system

- Issues purchase orders and liaise with overseas suppliers to ensure smooth delivery of shipments

- Generation reports and provide general support to other departments

- To assist sales account managers in trade processing and/or customer servicing as needed

- Review and proactively seeking improvements to current operations

- Participating in implementations of new Operational Excellence Initiatives

- Perform other administrative duties as assigned

Requirements :

- Candidate must possess at least Diploma/Advanced/Higher/Graduate Diploma/Degree in any field.

- At least 1 Year of working experience in the related field is required for this position.

- Experience using SAP is an advantage

- Proficiency in Microsoft Word, Powerpoint and Excel

- Good oral and written (English), as well as organizational skills

- Optimistic in approaching/solving issues

- Able to work independently

- A good team player who is proactive and meticulous

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 selected candidates will be assigned to teach tutorials for specific modules for undergraduates. They will be guided by the module coordinators or instructors.

Responsibilities:

• Participate in regular meetings with the module coordinators and other TAs
• Support class management and administration
• Conduct tutorials or lab sessions
• Assist in setting up tutorial and assessment questions
• Marking of course assignments

Requirements:

• A good honours degree or Master’s degree in a relevant discipline from a reputable university (e.g., Computing/Engineering)
• Possesses excellent verbal and written communication skills and be able to effectively facilitate learning for undergraduate students
• Strong interest in teaching and preferably with proven teaching experience (especially at the tertiary level)

Admin Executive & Receptionist

ㅤEmbark on a meaningful career to make a real difference in the lives of children!

ㅤScience Studios is a leading education centre specialising in the teaching of primary school science through engaging experiments and excellent printed materials. Learning at Science Studios is also supplemented by, and enhanced through, proprietary online resources.

ㅤWe believe children should enjoy learning in order to achieve better grades. We go the extra mile to carefully design, prepare, and deliver each lesson so that students are engaged and have fun learning. For many students, coming to Science Studios is one of the highlights of their week! If you want a positive work environment where you can make a real difference, this is the right place for you!

ㅤWe currently have 3 branches across Singapore: West (Bukit Timah Plaza), Central (Balmoral Plaza) and East (Eastgate at Katong). Do let us know if you prefer to work at one of the locations.

Job Description:

• Communicate with customers regarding SS programmes, fees, replacement classes, etc.

• Prepare apparatus for experiments. This includes purchasing and maintaining inventory.

• Mark quizzes and monitor students’ progress to help them achieve better grades.

Requirements

+ Passionate about enriching children's lives through effective education.

+ Maintain high standards with a strong attention to detail. Thorough and accurate when accomplishing assigned tasks.

+ Able to work one and a half weekend days (Sunday from 12 noon, and Saturday).

[2 weekdays, including Fridays, will be rest days. You’ll be able to avoid weekend crowds on your rest days. Furthermore, there is no need to work on most weekends in June and December.]

JOB DESCRIPTION

The Science and Engineering Research (SER) Directorate is looking to hire a resourceful and motivated individual, who is passionate about supporting the delivery of impactful outcomes through Science and Technology, under the Research, Innovation and Enterprise (RIE) 2025 plan. The SER Directorate is the nexus of policy, corporate reporting and economic analysis to ensure that SERC delivers on its strategic thrusts of value-creation and socioeconomic impact to Singapore. You will work closely with key stakeholders internally and externally to achieve the outcomes of various programmes, and develop a deep understanding of R&D policies and their wider impact on the research ecosystem in Singapore. You will acquire skills in interpreting data to develop policies, as well as develop deeper organisational awareness. The ability to be agile and thrive in a changing work environment is a must!

As an officer in RPP/A&O, your key areas of work would include the following:

Resource and Performance Monitoring

1. Support Science and Engineering Research Council (SERC) senior management in the governance and allocation of resources;

2. Synthesise data and develop recommendations to support executive decision making;

3. Support the review and improvement of SERC strategy, operations and processes, including the improvement of SERC investments and activities;

4. Develop specific measures of success with relevant experts;

5. Conduct financial modelling and monitor budgets for SERC entities;

6. Analyse and track performance of SERC entities in response to overall strategies.

Corporate Planning

7. Support SERC senior management in key meeting platforms and monitor strategic and management issues across SERC;

8. Organise events for SERC management for business reviews, and charting of strategic directions for SERC entities.

Job Requirements

9. Relevant working experience in the public sector, strategic and/or corporate planning would be an advantage

10. Bachelor's degree or equivalent qualification, preferably in Science, Technology, Engineering, Mathematics (STEM), or Business.

11. Ability to translate concepts into implementation plans

12. Excellent communication (verbal and written) and interpersonal skills

13. Proficient in Microsoft Office (Powerpoint, Word, Excel and Power BI or equivalent)

14. Strong strategic and analytical thinking skills

15. Resourceful and motivated

16. Pro-active, quality conscious, attentive to detail and result-oriented

17. High learning agility and adaptability

18. Able to work independently and in a team to deliver results under tight timelines

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 Genome and Data Analytics Core (GeDaC) at the Cancer Science Institute of Singapore (CSI) is actively seeking talented individuals for positions in Genomic Data Science and Bioinformatics. This is an exciting opportunity to join a dynamic team focused on leveraging cutting-edge technology to advance cancer genomics research and precision oncology.

Responsibilities

1. Collaborate with software engineering experts to build and optimize components of the cloud-based (AWS) platform for automated processing and analysis of large cancer genomics datasets.
2. Provide on-demand bioinformatics support for CSI/NUS investigators.
3. Participate in diverse and innovative projects, applying biological and technical expertise.
4. Contribute to state-of-the-art machine learning/artificial intelligence (ML/AI) and big data initiatives, such as developing APIs for scalable cancer genome analytics.
5. Collaborate with local and multinational industrial stakeholders to expand skills and networks.

Qualifications

• Masters or PhD in bioinformatics, computational biology, genomics, or a related field.
• Demonstrated experience in genomic data analysis, preferably in a research or industry setting.
• Track record of publications and/or projects in the field of cancer genomics or related areas.
• Ability to work effectively both independently and as part of a multidisciplinary team.

More Information

CSI GeDac Core Facility: https://csi.nus.edu.sg/our-research/core-facilities/genomics-and-data-analytics-core-gedac/

Interested applicants should include the following documents in the job application

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

The Science and Engineering Research (SER) Directorate is looking to hire a resourceful and motivated individual, who is passionate about supporting the delivery of impactful outcomes through Science and Technology, under the Research, Innovation and Enterprise (RIE) 2025 plan. The Strategic Planning unit is the nexus of policy, corporate reporting and economic analysis to ensure that SERC delivers on its strategic thrusts of value-creation and socioeconomic impact to Singapore. You will work closely with key stakeholders internally and externally to achieve the outcomes of various programmes, and develop a deep understanding of R&D policies and their wider impact on the research ecosystem in Singapore. You will acquire skills in interpreting data to develop policies, as well as develop deeper organisational awareness. The ability to be agile and thrive in a changing work environment is a must!

As a Senior Manager/Manager of Strategic Planning, your key areas of work would include the following:

Resource and Performance Monitoring

1. Support Science and Engineering Research Council (SERC)'s senior management in the governance and allocation of resources;

2. Synthesise data and develop recommendations to support executive decision making;

3. Support the constant review and improvement of SERC's strategy, operations and processes, including the improvement of SERC's investments and activities;

4. Develop specific measures of success with relevant experts;

5. Conduct financial modelling and monitor budgets for SERC entities;

6. Analyse and track performance of SERC entities in response to overall strategies.

Corporate Planning

7. Support SERC's senior management in key meeting platforms and monitor strategic and management issues across SERC;

8. Organise events for SERC's management for business reviews, and charting of strategic directions for SERC entities.

Job Requirements

9. Relevant working experience in the public sector, strategic and/or corporate planning would be an advantage

10. Ability to translate concepts into implementation plans

11. Excellent communication (verbal and written) and interpersonal skills

12. Proficient in Microsoft Office (Powerpoint, Words, Excel and Power BI or equivalent)

13. Strong strategic and analytical thinking skills

14. Resourceful and motivated

15. Pro-active, quality conscious, attentive to details and result-oriented

16. High learning agility and adaptability

17. Able to work independently and in a team to deliver results under tight timelines

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 Genome and Data Analytics Core (GeDaC) at the Cancer Science Institute of Singapore (CSI) is actively seeking talented individuals for positions in Genomic Data Science and Bioinformatics. This is an exciting opportunity to join a dynamic team focused on leveraging cutting-edge technology to advance cancer genomics research and precision oncology.

Responsibilities

1. Collaborate with software engineering experts to build and optimize components of the cloud-based (AWS) platform for automated processing and analysis of large cancer genomics datasets.
2. Provide on-demand bioinformatics support for CSI/NUS investigators.
3. Participate in diverse and innovative projects, applying biological and technical expertise.
4. Contribute to state-of-the-art machine learning/artificial intelligence (ML/AI) and big data initiatives, such as developing APIs for scalable cancer genome analytics.
5. Collaborate with local and multinational industrial stakeholders to expand skills and networks.

Qualifications

• Masters or PhD in bioinformatics, computational biology, genomics, or a related field.
• Demonstrated experience in genomic data analysis, preferably in a research or industry setting.
• Track record of publications and/or projects in the field of cancer genomics or related areas.
• Ability to work effectively both independently and as part of a multidisciplinary team.

More Information

CSI GeDac Core Facility: https://csi.nus.edu.sg/our-research/core-facilities/genomics-and-data-analytics-core-gedac/

Interested applicants should include the following documents in the job application

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

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 Summary

Being a Donor Relations Manager, you will have to effectively build meaningful connections with Cancer Science Institute of Singapore (CSI) and the University's donors while implementing personalized donor engagement plans that strategically aligns with CSI's vision, mission and ongoing research initiatives. You will also need to demonstrate a genuine passion for philanthropic work and a strong belief in the mission and vision of higher-education institutions. You must be able to showcase a strong ability to build and maintain relationships with diverse individuals, including donors, colleagues, and stakeholders. This requires the possession of exceptional written and verbal communication skills to articulate the goals and impact of CSI effectively to potential donors.

Duties and Responsibilities

1. Program Development:Develop and implement effective donor engagement programs that align with organizational fundraising objectives.
   Create processes to systematically engage, cultivate, and recognize donor constituencies.
   
2. Donor Relations Initiatives:Oversee comprehensive donor relations initiatives, including communication strategies, recognition programs, and stewardship efforts.
   Ensure that donor engagement activities are in line with organizational stewardship objectives.
   
3. Collaboration and Communication:Serve as the communicative link between various departments and faculty members to optimize donor engagement efforts.
   Facilitate effective communication and collaboration to enhance the overall donor experience.
   
4. Reporting and Documentation:Compile reports from different faculties for donors, providing them with transparent and detailed insights into the impact of their contributions.
   Ensure accurate and timely documentation of donor-related information.
   
5. Editorial Excellence:Edit and proofread donor relations materials to ensure they meet the highest editorial standards.
   Craft compelling and accurate narratives that effectively communicate the impact of donors' contributions.
   
6. Donor Contact Point:Serve as a primary contact point for donors, addressing their inquiries, concerns, and providing timely updates on the impact of their support.
   
7. Proactive Relationship Building:Play a proactive role in seeking support from donors and building strong working relationships with various stakeholders within the University.
   Identify opportunities for collaboration and partnership that align with the University's and donors' interests.
   
8. Flexibility and Additional Duties:Undertake and perform additional duties as assigned, showcasing flexibility and adaptability to evolving needs within the donor relations role.
   
9. Stakeholder Engagement:Build and maintain strong working relationships with internal and external stakeholders to enhance donor engagement and support.
   
10. Data Management and Analysis:Utilize data analytics and management tools to assess the effectiveness of donor engagement initiatives and make informed recommendations for improvement.
    
11. Budget Management:Manage budgets associated with donor relations programs, ensuring efficient use of resources to maximize impact.
    
12. Adherence to Ethical Standards:Adhere to ethical standards and guidelines in all donor relations activities, ensuring transparency and integrity.
    

Qualifications

• Degree from a recognised University.
• Strong written and verbal communication skills
• Minimum 8 years’ experience in professions that demonstrate customer engagement skills
• Excellent team player and ability to manage multiple stakeholders with excellent interpersonal and problem-solving skills
• Experience in service industry is an added advantage
• Values philanthropy and a strong desire to contribute to community building

More Information

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. At least 2 referees including their name, contact information (email) and relationship to applicant

CSI Website: https://csi.nus.edu.sg/

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The 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

Middle and High School Science Teacher

Start Date: 1st August 2024

The German European School Singapore (GESS) is looking for experienced Middle and High School Science Teacher for Grades 6-12.

In your teaching commitment at GESS, you will need to take on the following responsibilities where you will be expected to:

· Develop a strong relationship with all parents and students

· Be a role model who mentors and guides students to ensure they meet their full potential

· Actively review student assessment data, including academic, behavioral and social/emotional, to set learning goals, develop student agency and put in place interventions to ensure successful learning of each individual

Experience and Qualifications

• Recognised teaching qualification (minimum B.Ed or PGCE equivalent)
• At least 4 years teaching experience
• Knowledge, understanding and teaching experience of the IB Middle Years Programme and IB Diploma Programme
• Appropriate Health and Safety training for taught subject areas (e.g. for PE, first aid and swimming training certifications)
• Articulate and effective written and oral communication in English
• Ability to work collaboratively, professionally and effectively within a team
• Experience of working in an international school setting advantageous
• Willingness to adapt to and embrace a new school environment
• Willingness to contribute and champion educational change that supports best practice and improve student learning

Professional Expertise

• Cognitive Activation / Pedagogical Subject Knowledge: The teacher has a deep understanding of the curriculum, pedagogy, subject content, and the developmental needs of students to effectively provide rich learning experiences.
• Classroom Management: The teacher understands the importance of establishing routines and procedures and providing a safe, supportive, student-centred learning environment.
• Formative Assessment: The teacher can effectively use differentiated assessment tools and strategies and understands how to make accommodations for individual students that drive learning forward.
• Student Well-being & Safeguarding: The teacher is a caretaker of the student’s social health and emotional well-being. They support healthy peer relationships and interactions. At the same time, they are guiding individual emotional, well-being and social development.
• Professionalism: The teacher is committed to professional ethics, international-mindedness, and the school’s mission; collaborates and communicates appropriately and takes responsibility for professional growth that enhances student learning.

Keen to collaborate and share your specialist expertise, you will be a fitting ambassador for the school. You will communicate with confidence across diverse audiences and situations, using your expertise to build strong relationships across the GESS community.

Our School

The German European School Singapore (GESS) is a multi-lingual, not-for-profit, German international school in Singapore with a distinct European flavour. As an accredited ‘Excellent German School Abroad’, the German Section of GESS offers all major German school leaving certificates.

Our European Section offers tuition in English for students from grade 1 - 12 across all three IB programmes (the PYP, the MYP and the IB Diploma Programme) as an authorised IB World School.

Children aged 2 years onwards can enroll in our Preschool where children are following the PYP programme in German-speaking, English-speaking or bilingual groups. In addition to an outstanding academic education, GESS strives to teach students community values such as respect, openness and diversity.

To Apply

We offer an exciting working environment in an international and cooperative team. Your application should include a letter of application and your complete resume. Please indicate your reasons for applying for the position.

Our Selection Process

At GESS we adhere to fair employment practices that consist of hiring practices that are fair, merit-based and non-discriminatory.

We are committed to providing a world class, safe, happy environment in which children and young people are able to thrive and learn. We are committed to safeguarding and child protection as we promote the welfare of all our pupils irrespective of race, ability, religion, gender or culture.

All post holders are subject to appropriate vetting procedures including satisfactory reference and background checks and the offer of employment will be subject to the completion of these.

Please note, that only shortlisted candidates will be notified.