We are seeking an enthusiastic and capable full-time Research Officer for the above project, a large-scale project on childhood development, family, and population issues in Singapore. The RO will assist in survey operations, data management and analysis, literature review, writing of reports and administrative support.

Qualifications

• Bachelor’s degree (preferably Honours) or equivalent in statistics or social sciences
• Experience in conducting research such as an honours thesis or involvement in a research project
• Strong writing skills
• Strong quantitative research skills. A good grasp of data analytic software such as SPSS, STATA, or R
• Strong organizational and interpersonal skills
• Proficient in Microsoft Office Suite
• Ability to collaborate with a large team and to work independently when necessary

Terms and Conditions

The appointment is tenable for 1 year, with the possibility of renewal pending on budget. Remuneration package is commensurate to qualifications and experience.

Projected date of commencement: April, 2024

Review of applications will start till the position is filled. We regret that only shortlisted candidates will be notified via email.

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The mission of Cancer Science Institute (National University of Singapore) is to better understand the causes of human cancer across Asia, and thereby improve its detection, treatment, and prevention. Our outstanding researchers and exceptional facilities create an energetic environment for ground-breaking science and world-class training.

A Research Assistant position is available immediately in Prof Chng Wee Joo’s research group. The selected candidate will provide support to the Principal Investigator and the team in terms of research, laboratory and administrative needs

You may refer to https://csi.nus.edu.sg/researcher/wee-joo-chng/ for more information on Prof Chng’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 2 referees including their name, contact information (email) and relationship to applicant

Job Description

Research:

• Carry out assigned experiments
• Organize, preserve and present the results of the experiments in a logical manner
• Record all assigned experiments and results properly and systematically
• Analyze and plan further experiments under guidance
• Assist in supervising, training and guiding attachment/undergraduate students where required

Laboratory:

• To plan and ensure the needs and requirements of the team in terms of consumables
• Ensure that the lab is adequately stocked with clean glassware, minor equipment, chemicals, etc. required for experiments
• Regular checks and maintenance of equipment
• Assemble reagents, chemicals and media that are needed for experiments
• Ensure that standard operating procedures and safety regulations are followed

Administrative duties:

• Plan and ensure that the overall lab administrative needs of the team are met
• Assist the Principal Investigator in tracking his/her grants and other sources of funding
• Procurement of necessary equipment, chemicals, reagents as required by the lab or project
• Maintaining a systematic and proper record of all purchases
• Liaise with vendors and the administrative office to ensure proper purchase requisitions, goods delivery and prompt payment of supplies
• Any other ad hoc duties as required

Qualifications

• At least Diploma in Genomics, Molecular Biology or in any related field
• Team player and willing to learn
• Knowledgeable in laboratory scientific resource material; laboratory equipment and its care.
• Knowledgeable in methods of scientific research and relevant scientific theories.
• Knowledgeable in basic principles, terminologies, practices used in cancer biology, examination of clinical and animal samples.
• Adhere to Government guidelines and regulations pertinent to laboratory safety and security and IRB, OSHE & IACUC regulations
• Packaging and shipping of diagnostic, infectious and hazardous materials.
• Appropriate computer operations, software and peripherals.
• Ability to perform laboratory tests

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 Associate Professor Utkur Mirsaidov on exciting research nanoscience projects using cutting-edge in-situ high-resolution transmission electron microscopic techniques (TEM).

Main responsibilities:

• Developing image processing methods for Electron Microscopy movies structural visualization.

• Responsible for micro- and nanofabrication, process improvements, and developing designs for new devices.

• The candidate will be the link between researchers, hardware and operations and work in close cooperation with all three profiles.

• Since the candidate will be working in an international and multicultural environment, fluency in English and good people skills are essential.

• We are a group of dynamic and creative researchers who love science, looking for like-minded candidates who are willing to head on challenges and go the extra mile.

The successful candidate is also privileged to be trained on advanced microscopic techniques that bring you to the next level in the research world.

Training provided:

• Transmission electron microscope (TEM)

• Atomic force microscope (AFM)

• Scanning electron microscope-focus ion beam (SEM-FIB)

• 2D material transfer and fabrication

Qualifications

Qualifications / Discipline:

• Bachelor of Science or higher in one of the following disciplines: Physics (preferred), Engineering, Mathematics

Skills:

• Main: Solid programming skills with experience in Python/Matlab/

• Bonus: Imaging process, visualization, scientific image analysis experience, cleanroom (microfabrication) experience.

• Possess great interpersonal and communication skills, hard-working, and not afraid of challenges.

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 project aims to model the corrosion induced damage process in reinforced concrete. A multi-physics model is envisioned, to capture the ingress of chloride ions, the stress loading on concrete material due to the formation of corrosion products, and the resultant damage in concrete. Meso scale modelling with matrix, ITZ and aggregates will be utilized to understand the interactions between underlying processes.

The candidate is expected to perform the following tasks:

• Develop and implement a multi-physics numerical model for concrete on the diffusion of chloride ions leading to the formation of corrosion products;
• Develop and implement a damage model for concrete to capture the development of cracks in reinforced concrete.

Job Requirements

• Possess a PhD degree in a relevant field.
• Has demonstrated experience in at least two of the following topics: Random field generation and modelling/Multi-physics model formulation and numerical implementation/Continuum modelling of corrosion process /Phase-field / nonlocal / gradient damage models.
• Strong communication skills; written and spoken.
• Open to fixed-term contract.

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

NUS is looking for a Research Fellow to work on Digital Twin of microgrid (MGDT) with energy management system (EMS).

The job requires the candidate to build the digital twin model of the hybrid microgrid with EMS with different operating conditions of sub-system and its associated equipment before actual implementation. Further, this MGDT will be used for the EV applications, therefore, Smart EV Charging, Energy Storage Management System, Energy Storage System, etc to provide unified experience for operation team will also need to be considered.

Qualifications

• Possess a recognised PhD degree in Electrical Engineering or equivalent with specialisation in microgrid, or EMS.
• Able to work independently by conducting experiments alone or in teams when required, and possess strong experimental validation experience
• Familiar with working of renewable energy systems, digital twin, energy storage, optimisation and control algorithm development.
• Familiar with state-of-the-art simulation platforms such as MATLAB/Simulink.
• Able to work on multiple tasks and projects in a multi-cultural and dynamic environment, with industrial partners, governmental agencies and collaborators.
• Able to draft research proposals, assist the PI in applying for research grants, and manage the research funds.
• Good written and communication skills.
• Open to fixed-term contract.

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 postdoctoral fellow will work closely with Asst. Prof. Patrick Rebentrost in the intersection of quantum algorithms and optimization, machine learning and/or finance. Sample topics include quantum algorithms for problems in supervised and unsupervised machine learning, algorithmic learning theory, and online learning, and quantum algorithms for financial problems such as portfolio optimization, pricing of financial derivatives, and hedging. The job will include the development of quantum algorithms in these areas, with provable quantum advantages and provable guarantees, when possible, in fault-tolerant models of quantum computation. The job will also include the development of algorithms that are easier to execute on available hardware such as variational and post-variational methods and quantum approximate optimization. Furthermore, the aim is to provide hardware implementations on available devices, comparisons between available hardware providers, and classical simulations of the quantum algorithms. For this purpose, the successful applicant will be granted significant independence concerning their research and receive generous travel funding. They will be expected to contribute to the group, for example by co-supervising student projects and assisting with outreach activities.

Qualifications

• Strong track-record working on technical aspects of quantum algorithms and/or quantum information. Strong candidates with proven expertise in other aspects of quantum computing such as quantum machine learning, near-term quantum algorithms, quantum approximate optimization are encouraged to apply.

• The candidate is expected to have a PhD in electrical engineering, computer science, physics or applied mathematics and a substantial publication record in theoretical quantum computing/information.

• Strong research profile and proven ability to communicate research

Responsibilities:

• Responsible for co-leading and supporting PI in managing the full life cycle of R&D projects, from scoping, initiation, planning, executing through to completion:

- establish communication plans, build project schedules, milestones and deliverables.

- manage project risk, scope, budget, resources, schedule and KPIs

- interact and communicate with internal and external stakeholders

- track project progress against milestones and budget

- prepare reports to management and grantors

- ensure that projects adhere to established policies, guidelines, standards, and methodologies.

• Support the implementation and maintenance of the Project Management Information System (A*PS)
• Project Management related SOP writing and development

Other Responsibilities:

• Other ad-hoc duties and assignments as may be assigned by Reporting Officer/Director

Job Requirements:

• Minimum of Bachelor of Science in Biomedical Sciences, Biochemistry, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above
• At least 3 years of working experience preferably in the medtech, healthcare, or biomedical industry
• Strong background in Microbiology, Molecular Biology, Biochemistry, Genetics and Genomics
• Experience with project management, developing and implementing project plans preferred.
• Demonstrable experience of developing and maintaining key project documentation to a high standard
• Knowledge and competence in industry engagement and intellectual property would be advantageous
• Highly motivated and able to work independently
• Strong analytical, technical, and problem-solving skills
• Team player with good interpersonal skills
• Good spoken and written communication skills

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Noah Lim under a project on Multicomponent Formulations For Coatings That Increase The Shelf Life of Perishable Goods.

The main responsibilities of the position include:
1. Participate in project operation.
2. Fruit market survey.
3. Screening and optimization of edible components for fruit extension shelf-life coating formulation.
4. Structure analysis of formulated coating/thin film

Qualifications

• Qualifications / Discipline: Bachelor Degree in Chemistry/Materials/Food Science and Technology.

• Skills: SEM, Confocal Microscope, FTIR, HPLC, sensory evaluation, etc.

• Experience: With expertise in food science, formulation development, polymer science, biomaterials.

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 a Senior Research Fellow position in Prof Brian Kennedy’s lab, part of the Department of Biochemistry and the Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab focuses on basic, clinical and transformative research to add healthy year of life by developing interventions to delay ageing and chronic disease onset, increase healthspan and improve life quality.

Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Senior Research Fellow (SRF) will be responsible to and work closely with Professor Brian Kennedy to provide support in research projects to advance the understanding of aging biology and age-related diseases, with a specific focus on identifying novel anti-aging compounds (drugs, natural products, metabolites, etc.) that can delay cellular aging and extend healthspan. This includes assessing the effectiveness of these potential compounds in various age-related disease models, including neurodegenerative disorders, cardiovascular diseases, diabetes, cancer, sarcopenia, age-related macular degeneration, and skin ailments.

Main Duties and Responsibilities

1. Independently lead, design and perform experiments on research projects with experience in biology of ageing and therapeutic interventions for age related diseases.
2. Conduct literature searches, experimental plans, and data analysis independently and reliably
3. Assist Principal Investigator in preparing grant proposals, progress reports of research projects.
4. Has experience, able to supervise and conduct techniques in the following areas:
5. High-throughput drug screening techniques
6. Mechanistic studies in ageing models, such as cells, yeast, C. elegans, fish, mice
7. Basic molecular biology techniques such as molecular cloning, gene expression, protein expression/purification, immunoprecipitation, Western blots.

Main Duties and Responsibilities

5. Knowledgeable in the areas of Cellular metabolism, Nutrients signaling, Biological stress, Chemical genomics, Drug discovery

6. Able to train and supervise junior lab members in conducting research projects.

7. Assist with any other duties such as guiding junior lab members on presentations, proprosal writing, etc.

8. Assist with any other duties of a similar nature that are delegated by the PI.

9. Able to effectively exchange ideas and knowledge with other team members, collaborators or other stakeholders in the scientific community

10. Strong team player skills and the ability to work harmoniously with a diverse workforce.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal Application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.

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

• Perovskite Solar Cells
• Electrochromic window
• Neuromorphic Computing
• Nanomaterials Synthesis
• Mentor PhD students
• Draft grant proposals
• Oversee lab safety

Job Requirements

• PhD degree in chemistry, materials science and engineering, electric and computer engineering, or chemical engineering.
• Ample research experience in synthesis of nanomaterials and nanocomposites, perovskite solar cells, smart windows, neurocomputing
• Solid background/experience in materials for optoelectronics and memristors.
• Excellent communication and writing skills
• Strong publication record
• Prior undergraduate and master students mentoring experience

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 project will focus on the multi-agent search problem, where multiple autonomous robots (agents) are tasked with spreading over a given region to be explored, to locate given targets of interest trying to evade detection. The number of targets is unknown, and their initial position is not known as well. There might be obstacles in the domain, and their location might or might not be known. Throughout this work, we will assume that robots can communicate their observations (presence/absence of targets) during search, via local or global communications, so they can update their representation of the domain and likely location(s) of targets (more details about this representation in the next Section). Our goal is to allow robots to plan efficient search paths to cover the domain and localise the targets as quickly as possible, while relying on local sensing and on distributed intelligence rather than on centralised planning, which would represent a vulnerable bottleneck and would not scale well to large agent teams.

Qualifications

• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.)
• Literature review/summarizing skills
• Simulations abilities (e.g., AirSIM, ROS Gazebo)
• Experience with implementation of deep learning model on hardware (e.g., ground/aerial robots)
• Experience publishing papers, and supervising undergraduate/master’s students

Job Responsibilities

• Experience in handling projects from concept to construction
• Liaise with consultants on matters of design & technical coordination issues and regulations
• Conduct site inspections on matters of design & technical coordination issues and regulations
• Work closely with the project team in the coordination, organization & preparation of construction documents & drawings
• Good interpersonal skills and the ability to work independently or within a team in a proactive studio environment
• Contract administration (SIA/PSSCOC forms of contract)
• Be familiar with prevailing regulations and codes governing construction and architectural practice

Requirements

• Recognized Architectural / Registerable with Board of Architects
• Minimum 5 years of relevant experience
• Experience with entire project process including authorities submission & building code
• Conversant with local codes and regulations, and construction practices
• Capacity to work in a challenging & fast paced environment
• Strong planning, organisational, supervision and project management skills
• Design oriented with a flair for creativity
• Familiar with Revit, Lumion, Rhino, SketchUp, Microsoft Projects, Photoshop, V-ray, etc.

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

Come and join us as our delicatessen & wine retail expert, with experience & knowledge of Cheese & Wine, and with an interest of gourmet food.

Retail Associate (Full time)

Customer Service

• Greet and welcome customers
• Create a healthy shopping experience throughout the store by sharing product knowledge with our customers
• Answer enquiries and offer suggestions to our customers
• Manage cash register
• Packing of purchased items

Store Preparation

• Assist in the receiving of deliveries to our store
• Replenish shelves with products
• Maintain the cleanliness of the store
• Previous work experience in retail operation and customer service will be an advantageous, but training can be provided for those who do not have.
• Excellent communication and interpersonal skills
• Can work well under pressure when store is busy
• Team work
• Able to work on weekends and public holidays
• Work place : Great World City
• Part-time positions are available as well, housewives are welcome to apply

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 department of Philosophy at the National University of Singapore invites applicants for a ten month Visiting Research Associate Professorship starting in early 2024. The position is affiliated with a project on decision-dependence in normative philosophy, aiming to develop a general framework for making decisions when the evaluation of options depends on or is affected by which option is chosen. Applicants should have at least one area of specialization, and ideally more than one, in a normative field, including ethics, rationality, epistemology, and/or decision theory. The Visiting Research Associate Professorship is a purely research position; no teaching duties are required.

The application should include:
- A CV (Required)
- A Writing Sample (Required)
- Four Letters of recommendation (Required)

If you have any questions, feel free to contact Abelard Podgorski ([email protected])

Qualifications

A PhD in Philosophy or a related field.

More Information

Location: [[Kent Ridge Campus]]

Organization: [[NUS]]

Department : [[Philosophy]]

Employee Referral Eligible: [[NA]]

Job requisition ID : [[23212]]

We are looking for a motivated and diligent Management Associate capable of learning and working independently to support the building of sustainable and scalable business practices for the anticipated expansion of our Company and be part of exciting business operations and ventures!

As an Management Associate, you will be exposed to and develop knowledge and understanding in key areas of human resource, corporate administration, corporate secretarial, corporate law, finance and management, and an appreciation of their impact upon, and relationship to organisation effectiveness. You are expected to carry out a pro-active role, acting in the best interest of client and the Company, maintaining professional standards and employing best practices.

This role offers an excellent opportunity to quickly build upon your knowledge and/or experience in Human Resource Management while expanding your experience in other business areas.

Human Resource Function:

• Manage all HR related matters and ensure that HR practices are compliant with MOM regulations, including but not limited to recruitment, onboarding and offboarding.
• Ensure that employee records, staff insurance policies, leave records, and records with relevant government departments are up-to-date.
• Ensure course grants, NS make-up pay, government paid maternity leave, childcare leave and paternity leave are submitted.
• Review and submit employee-related surveys.
• Handle work pass matters for foreign employees.
• Ensure the administration and timely execution of payroll, CPF contributions and tax matters in a timely manner.
• Handle renewal of licences and legal-related matter correspondences.
• Provide support for all HR matters
• Other duties assigned

JOB REQUIREMENTS

• Degree in any field, preferably with human resource background
• Strong command of spoken and written English
• Highly motivated and can work under pressure

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant 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, developing novel computational solutions to a wide range of applications, building large-scale experimental systems 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 Assistant will be responsible for working closely with the Principal Investigator and lab members on Automotive Vulnerability. The position involves the development of testbeds, research electric vehicle charging’s app, pen-testing, tampering, and other security threats. He/she should possess experience or interest in at least one of the following research areas:

• Cyber Security
• Artificial intelligence
• Machine learning

Qualifications

• A Bachelor degree in a relevant area (Master degree is a plus);
• Ability to work in a team; and
• Good oral and written communication skills in English.

More Information

Location: Kent Ridge Campus

Organization: School of Computing

Department : Computer Science

Employee Referral Eligible: No

Job requisition ID : 23106

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 main responsibility is in the theoretical analysis, circuit modelling and design, and implementation of topolectrical and non-linear circuits. Specifically, the candidate will work on these specific areas:

1) Floquet circuit realizations involving time-periodic systems

2) Memristive topological electrical circuits. These involve memristors, known as the fourth fundamental circuit element, exhibit a non-linear current-voltage relationship. This non-linear behavior could offer new insights into topological circuits, potentially enabling the storage of topological phases.

3) Quantum circuit realizations using classical topoelectrical circuits. While achieving quantum operations in classical circuits is challenging due to component imperfections, topolectrical circuit approaches can mitigate these imperfections.

Qualifications

• Possess a PhD in Electrical Engineering or related fields
• Knowledge in topolectrical circuits, and related topics of quantum theory, non-linear systems and topology.
• The candidate should also be knowledgeable in circuit and PCB simulation tools and has experience in circuit/PCB implementation and characterization.
• Open to Fixed Term Contract

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 23091

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 mission of the Office of Alumni Relation (OAR) is to nurture mutually beneficial and lifelong relationships with alumni and engage them along NUS’ aspirations. The Alumni Communications team supports this mission by reaching out to and strengthening bonds with the University’s alumni in the following ways:

• Implement effective communication initiatives to increase awareness of the University's latest news and initiatives, nurture a sense of belonging and build pride among alumni.
• Strengthen alumni engagement through digital plaforms.

Duties & Responsibilities

As the Head, Alumni Communications, you will be responsible for leading the alumni communications team in implementing communication strategies to promote the NUS alumni network and drive engagement with alumni.

Branding & Marketing

• Develop and implement branding strategies that enhances the University's image and reputation among alumni.
• Manage and upkeep all brand elements including logos, icons and taglines.
• Maintain a consistent and compelling brand message across all communication channels and branded gifts.

Publications

• Oversee the planning, production and distribution of alumni publications including the half-yearly print version of The AlumNUS as well as the biennial NUS Alumni Awards and OAR booklet.
• Identify, appoint and manage vendors for the design and printing of publications, and ensure timely delivery of high-quality publications.

Event Marketing

• Provide guidance to colleagues from alumni engagement for event marketing initiatives, including email campaigns, web banner displays, organic and paid social, and instant messaging platforms.
• Oversee and optimise the email marketing schedule for alumni; maintain a consistently high standard of engaging email content to minimise unsubscribe rates.
• Utilise data analytics to measure the success of digital campaigns and optimise strategies for improved outcomes.

Digital & Social Media

• Develop and coordinate social media strategies to engage alumni across various platforms, including Facebook, LinkedIn, Instagram and WeChat.
• Monitor social media trends and analytics to assess the effectiveness of communication efforts and adjust strategies accordingly.
• Amplify and celebrate achievements by alumni on social media.
• Oversee revamp of department website

Qualifications

• Bachelor's degree in communications, marketing, or a related field.
• 8 to 10 years of proven track record in a marketing or communications function with at least three years in a leadership position.
• Strong leadership skills and excellent stakeholder management abilities.
• Organised, meticulous and able to manage concurrent projects.
• Strong project management skills with the ability to multi-task in a fast-paced environment.
• Excellent communication and interpersonal skills.

More Information

Location: Kent Ridge Campus

Organization: Office of Alumni Relations

Department : Alumni Cultivation & Engagement

Employee Referral Eligible:

Job requisition ID : 23092

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 working with plant derived molecules that have chemical toxicity and photodynamic antiviral and antibacterial properties as naturally derived agents.

• The successful candidate will need to work with viruses and bacteria and be able to perform some chemical synthesis and characterization.

• Interested parties, please submit your CV via the portal. Send enquiries to David Leong ([email protected]).
• Regrettably, only potential candidates will be contacted for an interview.

Job Requirements

• A Bachelor degree in the life sciences or chemical engineering or biotechnology disciplines. Masters degree holders in the above disciplines are welcomed to apply.

• Bacterial and/or viral work experience are essential skills.

• Molecular cloning will be an advantage for the job.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Chemical and Biomolecular Engineering

Employee Referral Eligible: No

Job requisition ID : 23105

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

• To research on redesign strategies to facilitate automation for construction industry from the perspective of tasks, environment, and components.
• To research and develop system of modular and reconfigurable robots and the relevant components. The aim is to enable a wide spectrum of manual works commonly encountered in construction industry to be completed by automation.

Qualifications

• PhD degree in Electrical Engineering or Mechanical Engineering;
• Experience in mobile manipulator (both hardware and software);
• Experience in ROS and robot simulation;
• Excellent communication skills;
• Good team player.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Mechanical Engineering

Employee Referral Eligible: No

Job requisition ID : 23131

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 looking for a highly motivated Research Fellow candidate to join Dr Jiong-Wei Wang’s research programs to work on a heart immunology project in the Cardiovascular Research Institute and Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore. PI’s information can be found at https://medicine.nus.edu.sg/researchers/wangjiongwei/ or https://orcid.org/0000-0001-7986-6082 or https://www.researchgate.net/profile/Jiong-Wei-Wang or https://scholar.google.com/citations?user=HnUqhCMAAAAJ&hl=en

The candidate is expected to work independently in a dynamic and multidisciplinary environment. In collaboration with A*STAR (Dr. Florent Ginhoux and Dr. Baptiste Janela), the project aims at elucidating the roles of specific immune cell populations in heart injury and identifying therapeutic targets for cardiovascular disease, focusing on the immunology perspectives in ischemia heart disease. The candidate will perform cell culture, western blotting, FACS analysis and a variety of cell viability assessment assays, as well as in vivo experiments in mice, ranging from daily care to surgical procedures and the interpretation of the results. Apart from own projects, the candidate may supervise junior staff and students, and provide support to the research group, as delegated by the PI. The appointment is on a 2-year contract base in the first instance with a possibility of extension. The candidate will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the experiments on time.

Qualifications

The applicant should have:
(a) A PhD degree in pharmacology or biomedical research; preferably with experience in immunology and animal studies. Experience in myocardial infarction animal models will be prioritized.
(b) An excellent publication record in cardiovascular research field.
(c) Extensive experience in flow cytometry and animal experiments as well as cell culture and molecular biology skills.
(d) Team player with an investigative nature and attention to details.

Remuneration will be commensurate with the candidate’s qualifications and experience. The candidate is eligible for 28 days annual leave and staff welfare including medical insurance.
Contact: [email protected]

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Surgery

Employee Referral Eligible: No

Job requisition ID : 19093

Project Overview

We are seeking one or more Postdoctoral Associates, Research Engineers, or Research Scientists in social sciences or related fields to join a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge, interdisciplinary projects that aim to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

One important goal of the project is to develop a rich taxonomy of activities that can be performed by human-AI teams. Like mapping the plants and animals on an unexplored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge bases that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into taxonomies that range from very general types of activities to very specific ones.

Then, using these knowledge bases, we will develop AI tools to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Daniela Rus, and Abdullah Almaatouq from MIT; and Profs. Marcelo Ang and Bryan Low from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Job Description

Successful candidates for this job will participate in one or more activities like the following:

• Developing descriptions of current or potential activities and processes based on techniques such as: interviews, surveys, field studies, ethnographic observations, and literature reviews.
• Making editorial decisions about what content to include in the knowledge base, how to present it clearly, and how to organize it in ways that are logical, comprehensive, widely understandable, intuitively appealing, and conceptually elegant.
• Using human-subject experiments and other social science methodologies (such as cluster analysis) to help improve the above activities as well as to inform and evaluate the development of software tools based on the knowledge bases being developed.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.

Job Requirements

• Ph.D. in Social Science (such as Psychology, Sociology, Political Science, and Economics), Management, Organizational Behavior, Philosophy, Journalism, Computer Science (e.g., with a focus on Human-Computer Interaction), or other related fields by the start of the appointment.
• Excellent communication and collaboration skills.
• DESIRABLE:Strong publication record in top-tier conferences and journals.
  Familiarity with statistical data analysis tools and techniques.

This role is primarily based in Singapore.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

Project Overview

We are seeking one or more Postdoctoral Associates, Research Engineers, or Research Scientists in computer science or related fields to join a project on “Designing human-AI teams,” which is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on cutting-edge, interdisciplinary projects that aim to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans, and how humans can take advantage of the increased usefulness of AI systems across many tasks.

We will start by combining techniques from computer science and the social sciences to create online taxonomies of tasks and design space maps of many ways humans and AI systems can work together. For example, we will experiment with using machine learning or other techniques to discover patterns in data such as process repositories.

Then, using these knowledge bases, we will develop AI tools to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Daniela Rus, and Abdullah Almaatouq from MIT; and Profs. Marcelo Ang and Bryan Low from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Job Description

Successful candidates for this job will participate in one or more activities like the following:

• Developing semi-formal descriptions of activities and processes that can be performed by people and/or AI systems.
• Developing database and user interface tools for online knowledge bases of these activities and processes.
• Develop software applications that use these online knowledge bases to, for example:suggest innovative ways of combining humans and AI to solve various kinds of problems.
  specify detailed workflows, task assignments, and software modules to do this.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science or Engineering (including Artificial Intelligence, Machine Learning, and Human-Computer Interaction)
• Excellent communication and collaboration skills.

This role is primarily based in Singapore.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified