We are looking for passionate and experienced Science teachers to join our team. The ideal candidate will be able to deliver engaging and dynamic lessons, based on our methodology, to help students achieve visible improvement in their academic results.

Positions Available:

• Sec 3 Pure Physics
• Sec 4 Pure Physics
• Sec 3 Combined Science (Biology)
• Sec 4 Combined Science (Biology)

Responsibilities:

• Deliver lessons in an engaging and dynamic manner, based on our methodology.
• Develop lesson plans and materials (where necessary).
• Provide feedback to help students achieve visible improvement in their academic results.
• Engage students and help them realize their potential.
• Minimum commitment of 1 year.
• Be comfortable with hybrid delivery arrangements (handling both onsite and online students simultaneously).

Requirements:

• Minimum bachelor's degree in any discipline.
• Proficient with the O-level Science syllabus (depending on the positions you have selected).
• Prior teaching experience of a minimum of 2 years and above.
• Passion in education – committed to nurturing the students and making an effort to continually improve yourself.
• Dynamic and confident, with an approachable disposition.
• Strong communication (both spoken and written) and interpersonal skills.
• Passionate in working with teenagers, positive and caring with strong work ethics.

Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is looking for a candidate to join them as a Research Fellow.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

This position is funded by a Ministry of Education AcRF Tier 2 grant of Li Yi. The goal of the project is to develop new theory and algorithms for massive datasets, with a particular focus on online algorithms related to numerical linear algebra.

Key Responsibilities:

• Developing state-of-art algorithms for massive datasets
• Writing or contributing to publications, and attending conferences and workshops, for disseminating research findings. Travel support is possible.

Job Requirements:

• Ph.D. in theoretical computer science, mathematics, or a relevant area
• Good background of probability in theoretical computer science
• Research experience, as evidenced by a history of relevant publications, is expected. Publications in top venues are highly desired.
• Research experience in problems related to big data algorithms, such as sublinear-time algorithms, streaming algorithms and randomized numerical linear algebra algorithms, would be an advantage, but we also welcome applicants with different backgrounds who are keen to apply their knowledge to new problems.
• Excellent written and spoken communication skills

We regret to inform that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This position will involve the design and operation of tubular flow reactors for a variety of single- and multi-step organic synthetic transformations, including, but not limited to, multi-phase (gas-liquid) reactions, photoredox chemistry and electrochemistry. The primary space of applications will be in the manufacture of functional molecules as active ingredients for the pharmaceutical and agrochemical industry. Candidates with deep experience in the setup and operation of flow reactors and the associated online/offline analytical instrumentation are encouraged to apply.

Job Requirements

Ph.D. in chemistry or chemical engineering, including 3+ years of experience in organic synthesis and flow chemistry