About Us:

RD Fitness is a private personal training facility in Singapore, renowned for its commitment to member success and well-being. Our gym is equipped with top-of-the-line facilities and staffed by a team of passionate fitness professionals. We create a motivating and friendly environment for our members to excel in their fitness journeys.

Job Description:

We are on the lookout for an energetic and organized Gym Administrator to become a part of the RD Fitness family. This role is pivotal in providing outstanding customer service and ensuring the seamless operation of our gym's administrative tasks.

Key Responsibilities:

• Manage the front desk duties, including welcoming members, handling phone inquiries, and responding to emails.
• Oversee membership processes such as sign-ups, renewals, and cancellations.
• Organize and manage class schedules and bookings.
• Maintain accurate and up-to-date member records.
• Handle financial transactions and manage billing issues.
• Coordinate gym events and promotional activities.
• Ensure the cleanliness and maintenance of the gym facilities.
• Collaborate with gym staff and trainers to address member needs and feedback.
• Oversee the inventory of gym supplies and equipment.
• Generate regular reports on gym operations and performance.

Qualifications:

• Experience in an administrative or customer service role, preferably in a fitness-related environment.
• Strong communication and people skills.
• Organizational and time management expertise.
• Proficient in office software (e.g., Microsoft Office) and gym management systems.
• Passionate about fitness with a customer-first mindset.
• Flexibility to work various hours, including evenings and weekends.

Benefits:

• Competitive salary.
• Complimentary membership at RD Fitness Gym.
• Opportunities for professional growth and skill development.
• A dynamic and supportive work atmosphere.

How to Apply:

If you're excited about this role, please send your CV and a cover letter to [email protected] with the subject line "Gym Administrator Application at RD Fitness".

Join us in making a difference in people's lives through fitness!

Admin Executive cum Receptionist

Main Duties:

• Raising sales order & do invoicing/prepare proforma invoice
• Arrange local/overseas shipments
• Local/overseas courier for document & sample for clients
• Picking calls – pertaining to customer enquires/transfer calls
• Preparing certification required for overseas shipment

Ad-hoc Duties:

• Maintain/purchase office/pantry inventory
• Receive document/packages from courier (arrange payment if required)
• Assist regulatory to prepare document for signature
• Source for forwarders for overseas shipment
• Prepare invoices for audit purpose
• Assist to arrange for hotel/flight booking (if required), organize engagement activities
• Others

Minimum Qualifications:

• O/A Levels / Diploma in Office Skills
• Min 1-2 year’s relevant experience in administrative and operations support
• Meticulous and organized, good follow-up skills and initiative
• Excellent in managing documentation and paper work
• Multitasking and able to take stress

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 highly talented and motivated candidates to work on developing new functional materials. Candidate must be able to work in a fast-paced and dynamic environment with researchers across different disciplines. Candidate should have experience in sensing materials or self-healing materials.

Qualifications

Bachelor or above degree in Material Sciences, Electrical/Electronics, Applied sciences, basic sciences, technology, mechanical engineering or other relevant fields. Experience with data analytics/AI models a plus.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This position is for postdoctoral research in the exciting areas of either CO2 capture, CO2 conversion, and bioelectrochemistry in the Andrew B Wong group, which is affiliated with the Department of Materials Science and Engineering at the National University of Singapore (NUS) as well as with the Department of Chemical and Biomolecular Engineering at the National University of Singapore (NUS).

The ideal candidate would possess expert-level knowledge of electrocatalysis, bioelectrochemistry, or similar chemistries with a publication track record as a first author in leading journals (Impact factor >10 or more). Experience with materials characterization techniques such as SEM, EDS, EELS TEM, STEM, XRD, XAS, XPS, FTIR, AFM, STM, and/or Raman would be desirable. Comfort discussing research fluently in English is also highly desirable.

Those applicants who meet the requirements and pass the preliminary review will be notified via email to arrange an interview. Recruitment advertisements are in effect until the positions are filled.

Job Requirements

1. PhD degree in a related discipline (Chemistry, Chemical Engineering, Materials Science, Physics, or a related field). A strong understanding and extensive experience in electrochemistry/electrocatalysis or bioelectrochemistry is strongly preferred.

2. Applicants should have excellent research skills, experiences, and traits, such as:
a) Able to demonstrate a track record of novel research (First author papers in IF >10 journals)
b) Able to understand, analyze, and critique literature
c) Able to formulate and propose research directions
d) Able to demonstrate a rigorous and earnest attitude towards research
e) Able to work well in interdisciplinary or multicultural team settings
f) Able to carry out scientific research independently
g) Able to mentor undergraduate, master’s, and PhD students
h) Able to manage routine logistics of research

3. Applicants with at least one of the following experiences are preferred:
a) Rich experience in nanomaterial synthesis and characterization for catalysis (such as synthesis of new catalysts)
b) Research background in electrocatalytic reactions (including but not limited to CO2RR, OER, HER, etc.) and/or with electrolytic cells ( such as flow cell, membrane electrode assembly, solid-state electrolyte, etc). Applicants with unique insights and research ideas on the development of carbon dioxide electrocatalysis and cell design or electrode design are particularly desirable.
c) Experience with in-situ or in operando characterization of electrocatalysts, including FTIR, Raman, or XAS characterization, etc.
d) Research experience with halide perovskite materials, including design and synthesis of new materials, device fabrication (PV and/or LED), and characterization.
e) Experience in high-temperature electrochemistry using molten salt electrolytes.
f) Experience in bioelectrochemistry.

As a research assistant in RA, you will join a team of multidisciplinary researchers and data scientists, and work with academics and partners in the social sector. You will support researchers by:

• Assisting in project management of various research studies and research processes
• Liaising with internal and external stakeholders
• Participating in planning of research related events
• Developing digital material (e.g., infographics) to support research communications
• Assisting in fieldwork and/or analysis of research studies

Requirements:

• Singaporean
• Degree
• Strong project and event management, communication, and interpersonal skills
• Comfortable with a fast-paced team environment and multitasking
• Interest in social policy and research
• Familiar with graphic design software (e.g., Adobe Illustrator)
• Familiarity with social research methods (qualitative and/or quantitative) would be a strong advantage

Should you be interested in this position, please contact Terence at +65 9645 4048 your resume directly for fast respond.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

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 seeking for Research Engineer to work on the following topics.

1. Emerging Low-Carbon Technologies: Uncovering the carbon mitigation potential and cost-effectiveness of deployment of green hydrogen, CO2 capture and utilization, renewables-based heating, etc., in hard-to-abate sectors such as steel, cement, chemicals, and aluminum.

2. Existing Symbiotic Technologies: Exploring the deployment strategies of existing technologies related to industrial symbiosis and material/energy recycling to foster industrial synergy and collaborative infrastructure systems for increased sustainability.

Job Requirements

• Possess a bachelor degree in environmental science, energy, chemical engineering, economics, or other related fields.
• Good written and spoken communication.
• Excellent communication skills and capability to present research findings in publications.
• Open to fixed-term contract.

Note: Applications should include in a single .pdf file:

(i) Resume
(ii) Research statement (1-2 pages), including research summary and plans &
(iii) contacts of 3 reference persons plus the contact of your PhD supervisor.

This position is for a full-time Senior Research Fellow in the Laboratory of Immunity and Immune Pathology in the Emerging Infectious Diseases Signature Research Programme. The candidate is expected to work on a project examining immune responses to viral pathogens by performing a variety of research under the supervision of the Principal Investigator or his/her designate. The main duties and responsibilities will include but not limited to the following: -

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Independently analyse complex data sets.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research, which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Assist in writing and monitoring animal protocols, and IRB applications.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Biology or other related fields.
• Prior experience in molecular and cellular biology techniques, animal model work, and/or human immunology. Knowledge of single cell transcriptomics data analysis would be advantageous.
• Demonstrated capability of research independence progressively.
• Have in-depth knowledge, skills and expertise with potential to achieve research excellence.
• Possess strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce

We regret that only shortlisted candidates will be notified.

Tanglin Mission

Tanglin Trust School Singapore has a long tradition of providing British-based learning with an international perspective. At Tanglin we strive to make every individual feel valued, happy and successful. Responsibility, enthusiasm and participation are actively encouraged and integrity is prized. Working together in a safe, caring yet stimulating environment, we set high expectations whilst offering strong support, resulting in a community of lifelong learners who can contribute with confidence to our world.

Our Vision

We aspire to be the best school in the world with a dynamic learning community which nurtures and inspires every individual to be the best they can be. Our core values of Respect, Responsibility and Purpose are at the heart of everything we do across the school.

The Role

We require an outstanding teacher to teach Computer Science in the Middle School (11-14 years old). A colleague with commitment, integrity and excellent communication skills. A teacher with flexibility, resilience, and a caring and kind approach towards students. A learner with a drive to develop creative new approaches to student learning within a collaborative environment.

The role reports to Assistant Head of Faculty (Computer Science) (Senior School).

Key Responsibilities

1. Learning & Teaching

• Manage an effective, enthusiastic and safe learning environment.
• Deliver the curriculum to assigned classes in accordance with the School’s timetable.
• Differentiate lessons according to the abilities and learning needs of individual students.
• Promote independent learning by adopting teaching and learning strategies which develop the competence and confidence of every pupil.
• Support nurturing the attributes of the Tanglin Learner Profile with its emphasis on ‘balance’ ‘independence’ and ‘resilience’ as key features of student development.
• Ensure the thorough implementation of subject specifications, teaching schemes, assessment policies and reporting procedures.

2. Planning & Development

• Assist the AHOF in assessing and developing the Middle School (11-14 Years old) Computing curriculum in the school.
• Assist the AHOF in identifying areas for professional development within the Computer Science department.
• Assist the AHOF in identifying areas for development in Computer Science within the broader aims of the school development plan.
• Collaborate with colleagues in the planning and delivery of the schemes of work, including the choice of appropriate teaching and learning methods to meet the needs of the subject, and of different students.
• Keep abreast of current developments in Computer Science and to assist the AHOF in adapting curriculum content and methods of teaching and examining as appropriate.

3. Management of Resources and the Teaching Environment:

• Assist the AHOF in identifying appropriate resources within the limits of the departmental budget.
• Assist the AHOF/HOF in ensuring health and safety policies are followed within the department.
• Assist the AHOF in ensuring that departmental rooms present stimulating environments, which help to influence pupils’ attitudes positively towards the Computer Science.

4. Assessment, Recording & Reporting

• Ensure students’ work is regularly assessed according to Computer Science department policy and that homework is in line with school policy.
• Report to parents in accordance with the school’s reporting policy as laid down in the Staff Handbook.
• To use information gained from assessment, recording and reporting procedures to generate further improvement in student achievement.
• Assist the AHOF in the setting and marking of school examinations and to supervise entries for external examinations.

5. Pastoral and Co-Curricular

• When required, take on a form tutor role in the Senior School and fulfil the responsibilities of that position.
• Follow the School’s policies and procedures with regard to discipline and behaviour, daily routines, duties, homework, leave of absence, and visits, as laid down in the Staff Handbook.
• Contribute to co-curricular activities that broaden pupils’ experiences and contribute to the general life of the school.
• Be responsible for reporting any concerns about a child to the Designated Safeguarding Lead.

6. Communication and Liaison

• Promote the study of Computer Science amongst students and parents.
• Attend and contribute to meetings of a professional nature with HOF, HOY, SSLT and in other circumstances when requested.
• Liaise with the AHOF in respect of pupil records, rewards and sanctions.
• Maintain appropriate links with teaching colleagues in all sections of the school and foster cross-curricular links where appropriate.
• Liaise with members of the Learning Support Team with regard to individual students who may have additional needs, to ensure that those needs are understood, planned for and met.
• Liaise with pastoral staff, including form tutors, Heads of Year, the Assistant Heads of School and the Head of Careers on matters pertaining to the study of Computer Science and.
• Contributing to the strengthening of the parent-teacher partnership in individual and whole school initiatives as and when required.
• Assist the AHOF in developing effective links with the wider community, including business and industry, in order to extend the study of Computer Science and enhance teaching and learning.

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

Characterization of catalytic nanomaterials with advanced electron microscopy

Qualifications

• At least a MSc in materials sciences, Physics, Chemistry, or related disciplines, with a proven ability for outstanding research that is reflected in his/her publication record
• Highly self-motivated and ambitious to do cutting-edge research
• Strong communication skills in English (both Oral and Writing)
• Extensive experience with heterogeneous catalysts
• Have extensive experience working with complex oxide catalysts
• Have extensive experience working with Pt-Sn alloy catalysts
• Extensive experience with identical-location TEM

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 Visiting Senior Research Fellow will be responsible to, and work closely with, the Principal Investigator and the Memory Aging and Cognition Centre. The applicant will focus on neuroimaging , neurocognitive and neurobehavioral studies of dementia and its integration with genetic, clinical and PET data.

Main duties and responsibilities

1. Perform academic research on neurocognitive and neurobehavioral markers of dementia in different population settings imaging and other clinical outcomes in MACC observational and clinical trial cohorts

2. Provide supervision and training to research associates / research assistants / students

3. Provide expertise to work with collaborators on the design and analyses of cognitive and behavioral studies.

4. Contribute to large domestic and international research funding applications.

Qualifications

The applicant should:

1) have a PhD degree, which must include appropriate postgraduate training and experience in neurocognition and neuropsychiatry.

2) have strong knowledge of epidemiology and statistical applications, e.g. SPSS, MS office, PowerPoint.

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

Your future role within QRT

• A key member of the development team, building and enhancing key components for QRT
• A role with the potential to touch many aspects of electronic and algorithmic trading, backtesting, and data management systems
• Working with traders and quants to roll-out, support and run strategies
• Building and supporting new quantitative trading framework software
• Designing clean architecture and leveraging state of the art tools and components
• Bringing new ideas and experimenting with new technologies

Your present skillset

• 2-8 years’ professional experience
• Advanced skills in one or several programming languages
• Strong Python skills
• Very high standards in code quality and good development practices
• Knowledge of real-time systems, high performance computing and quantitative applications an advantage
• Strong team-player
• Experience working within a mature CI/CD process, DevOps experience
• Strong communication skills
• C++ or C# experience would be an asset

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

The laboratory of Antimicrobial Resistance and Drug Development in A*STAR ID Labs is looking for a highly self-motivated individual to join us as a Research Officer. Our lab is interested in developing new screening assays for drug discovery and early-stage antimicrobial drug development. Lab has extensive experience working with various pathogens (bacteria, virus and parasites).

The job responsibilities include:

• Bacterial and viral assay development and assay optimization
• Compound screening
• Target deconvolution (understanding mechanisms of action and resistance of selected compounds)
• Design and conduct experiments including data collection and analysis
• Summarize and present the data in lab meetings
• Develop new research techniques and approaches
• Collaborative spirit with internal and external collaborators
• Perform maintenance of inventory and procurement of laboratory consumables
• Ensure safe technical practices and procedures

Job Requirements:

• Bachelor Degree in Life Sciences/Biomedical Sciences, Microbiology, Molecular Biology or related field
• 5 years of relevant experience or candidates with relevant final year project expereince
• Highly motivated and able to work independently
• Adaptable to working with different organisms (bacteria or viruses)
• Team player with good interpersonal skills
• Good spoken and written communication skills
• Possible work in a BSL3 facility

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

A Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer will work closely with the Principal Investigator (PI) on quadrotor path planning, control, SLAM, swarm path planning, and cooperative transport. The approach will leverage the advantages of both deep reinforcement learning and conventional controls, combining model-based and model-free methods. Strong hardware experience and C++ coding especially related to quadrotor path planning and control are required.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Bachelor’s or Master’s degree from a reputable university, and with strong hardware expertise in aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, optimization, etc.). Strong publication records in leading journals and conferences, and practical hands-on experience in applying reinforcement learning to real robotics applications (e.g., autonomous driving and unmanned aerial vehicles) are highly valued.

Qualifications

• Possess a bachelor’s or master’s degree in either Electrical Engineering or strictly related (e.g., Mathematics, Computer, Electrical, Mechanical, Information Engineering).
• Have research experiences in control, reinforcement learning, distributed optimization, multi-agent, UAVs.
• Possess a strong experience in practical hands-on hardware project, familiar with 3D modelling and mechanical design. Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithm.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of control theory and robotics applications, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.
• 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 Department of the Built Environment at the National University of Singapore hosts the Centre for 5G Digital Building Technology (5GDBT), which focuses on several key research areas. These include:

1. Smart Facilities Management (FM) through Digital Twin (DT) technology.
2. Integration of Robotics and Internet of Things (IoT) sensors.
3. Exploration of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (XR).
4. Advancements in 5G Network Technology.
5. Implementation of a Common Data Environment for the integration of Smart Technologies.

The primary objective of the Centre for 5GDBT is to play a pivotal role in Singapore's digital research transformation, aligning with the nation's goal of achieving nationwide 5G coverage by 2025. The Centre for 5GDBT aspires to become a leading hub for digital building technology, focusing on impactful research, comprehensive education, and the adoption of best practices. Its strategy involves leveraging 5G connectivity, cloud-based DT technology, and robotics for applications in Smart FM and the Built Environment (BE) industry. Ultimately, the Centre seeks to revolutionise the design, delivery, and management of Singapore's BE.

The Centre for 5GDBT is in search of a Research Fellow (RF) with a proven ability to lead and execute research projects independently. The role requires a strong foundation in managing research projects and a deep understanding of smart technologies within the Built Environment (BE) industry, specifically in the Facilities Management (FM) domain. This encompasses expertise in technological competencies and smart technologies such as robotics (e.g., cleaning robots, concierge robots) and IoT devices.

The RF will be tasked with not only the technical aspects of research projects but also administrative and managerial responsibilities associated with them. Additionally, they will play a crucial role in supporting PhD students by offering academic and research guidance, collaborating closely with the Principal Investigator (PI), Dr Shah. Ideal candidates should bring substantial research experience in relevant fields, possess robust data analysis skills, and demonstrate proficiency in programming.

The selected candidate will engage in both academic development and hands-on fieldwork, collaborating with fellow research staff and students. This will be carried out under the guidance and supervision of the Principal Investigator (PI).

Job Requirements

- Hold or be in the process of obtaining a Ph.D. (i.e. is in the final stages of PhD studies meaning submitted thesis or pending oral defence) in a relevant field, such as Computer Science, Building Science, or related disciplines.
- Demonstrate a proven track record in effectively managing and actively participating in advanced theoretical and computational research projects.
- Able to develop robotic use-cases for Smart Buildings and Smart Facilities Management
- Working with integration of Digital Twins with Robotics and IoT sensors
- Possess strong programming skills, with specific knowledge or experience in the areas listed below:
• Digital Twin
• Robots = Message Queuing Telemetry Transport (MQTT), Robot Operating System (ROS) 1 & 2, Python, Java, C++
• Cameras = Localised LAN Server, Video Management Server (VMS), Streaming RTMP
• Display = Remote PC Display
• Experience in API, APKs, SDKs, UI/UX
• Experience in Artificial Intelligence (AI), ChatGPT, Video Analytics
• Developer:
(1) AI detection models for Andriod
(2) Video Analytics (MobileNet, TensorflowLite, Kotlin)
(3) Andriod Apps Developer
(4) Live Streaming Andriod Apps
(5) Live Broadcasting Andriod Apps
(6) Backend Video Server Developer
- Skills listed below would be strongly preferred:
• Video Analytics Detection Models
• Large Language Models (LLM)
• Artificial Neural Networks
- Working with integration of Digital Twins with Robotics and IoT sensors, Generative AI, Smart Cameras, Drones
- Exhibit exceptional communication skills, both written and verbal, and demonstrate proficiency in team management. The candidate should also showcase independent problem-solving abilities.
- Fluency in oral and written English is essential to effectively collaborate and communicate within a diverse research environment.
- Experience in writing proposals and paper publications
- Ability to contribute to and lead the development of academic papers for publication in reputable and high-impact journals, reflecting a commitment to scholarly excellence.
- Proven capability to mentor and guide research staff and students, fostering a collaborative and innovative research culture.
- Display a keen interest in staying abreast of emerging technologies and methodologies within the specified research areas, continuously contributing to the intellectual advancement of the team.
- Previous experience in securing research funding, collaborating with industry partners, and participating in interdisciplinary research initiatives would be considered advantageous.

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 seeking for Research Engineer to work on the following topics.

1. Emerging Low-Carbon Technologies: Uncovering the carbon mitigation potential and cost-effectiveness of deployment of green hydrogen, CO2 capture and utilization, renewables-based heating, etc., in hard-to-abate sectors such as steel, cement, chemicals, and aluminum.

2. Existing Symbiotic Technologies: Exploring the deployment strategies of existing technologies related to industrial symbiosis and material/energy recycling to foster industrial synergy and collaborative infrastructure systems for increased sustainability.

Job Requirements

• Possess a bachelor degree in environmental science, energy, chemical engineering, economics, or other related fields.
• Good written and spoken communication.
• Excellent communication skills and capability to present research findings in publications.
• Open to fixed-term contract.

Note: Applications should include in a single .pdf file:

(i) Resume
(ii) Research statement (1-2 pages), including research summary and plans &
(iii) contacts of 3 reference persons plus the contact of your PhD supervisor.

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

• Pulsed plasma actuators have gained significant traction in the research community for their ability to produce enhanced aerodynamic performance with minimal modifications required to the system geometry. Yet while most studies have focused on flow separation control, less attention has been devoted to skin friction reduction. This project aims to examine and optimize the performance of a novel class of pulsed plasma actuators.
• The selected candidate is expected to conduct experiments to characterize both the aerodynamic performance and plasma properties of these actuators, so as to understand the underlying physical mechanisms leading to any observed drag reduction. Extensive use and development of laser-based techniques should be expected, along with ample potential for use of machine learning approaches.

Qualifications

• PhD in Fluid Mechanics, Aerodynamics, Applied Physics, Plasma Physics, or related field. Experience in laser-based diagnostics and/or machine learning approaches is strongly preferred.

Work location: Caldecott

Contract duration: 1 year

Salary: $2800

Responsibilities

• Assisting in project management of various research studies and research processes
• Liaising with internal and external stakeholders
• Participating in planning of research related events
• Developing digital material (e.g., infographics) to support research communications
• Assisting in fieldwork and/or analysis of research studies

Requirements

• Degree
• Strong project and event management, communication, and interpersonal skills
• Comfortable with a fast-paced team environment and multitasking
• Interest in social policy and research
• Familiar with graphic design software (e.g., Adobe Illustrator)
• Familiarity with social research methods (qualitative and/or quantitative) would be a strong advantage

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

As a research assistant in RA, you will join a team of multidisciplinary researchers and data scientists, and work with academics and partners in the social sector. You will support researchers by:

• Assisting in project management of various research studies and research processes
• Liaising with internal and external stakeholders
• Participating in planning of research related events
• Developing digital material (e.g., infographics) to support research communications
• Assisting in fieldwork and/or analysis of research studies

Requirements:

• Singaporean
• Degree
• Strong project and event management, communication, and interpersonal skills
• Comfortable with a fast-paced team environment and multitasking
• Interest in social policy and research
• Familiar with graphic design software (e.g., Adobe Illustrator)
• Familiarity with social research methods (qualitative and/or quantitative) would be a strong advantage

Should you be interested in this position, please contact Terence at +65 9645 4048 your resume directly for fast respond.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

My client is a risk and assurance company, supporting the maritime sector. This role will support RFx activities and negotiations, and supporting Global Category Managers with tactical procurement activities.

Job Description:

• Support RFx activities and negotiations
• Identify, develop, execute and monitor strategic sourcing
• Assist in improvement of Procurement governance, documentation, and P2P processes/system
• Track and support contract renewals, vendor performance management, and supplier audits
• Support Global Category Managers in tactical procurement activities
• Analyse spend data
• Track and report savings
• Assist in market benchmarking exercises and research
• Active support and collaboration with local and regional stakeholders for project implementations
• Provide new ideas and innovative solutions to the team

Should you be interested in this position, please contact Terence at +65 9645 4048 your resume directly for fast respond.

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

My client is a risk and assurance company, supporting the maritime sector. This role will support RFx activities and negotiations, and supporting Global Category Managers with tactical procurement activities.

Job Description:

• Support RFx activities and negotiations
• Identify, develop, execute and monitor strategic sourcing
• Assist in improvement of Procurement governance, documentation, and P2P processes/system
• Track and support contract renewals, vendor performance management, and supplier audits
• Support Global Category Managers in tactical procurement activities
• Analyse spend data
• Track and report savings
• Assist in market benchmarking exercises and research
• Active support and collaboration with local and regional stakeholders for project implementations
• Provide new ideas and innovative solutions to the team

Should you be interested in this position, please contact Terence at +65 9645 4048 your resume directly for fast respond.

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PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23116141 Le Cong Thang

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

About TnS-Live-Algo Team

Our algorithm team is responsible for developing state-of-the-art computer vision and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related local regulations. With the continuous efforts from our team, TikTok Livestream is able to provide the best user experience and bring joy to everyone in the world.

Job Description

We are looking for a highly self-motivated research engineer to join our algo team in Singapore. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok Livestream, and will also be responsible for optimizing our distributed model training framework continuously. The ideal candidate should be experienced in building a computer vision model or multimodality model and have a very strong coding ability in Pytorch/Tensorflow

Responsibilities

- Develop computer vision model or multimodality model to recognize violation content in TikTok Livestream

- Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc)

- Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc

- Continuously optimize the training framework to better adapt to the training of large models

Qualifications

1. Major in computer science or a related technical discipline

2. At least 3 years of experience in at least one of the following areas: computer vision, multimodality, LLM

3. Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow)

4. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills

5. Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Dr Zhang Dan Group: Assistant Research Officer

We are looking for a highly motivated candidate to research on understanding the nature and functions of endomembrane contacts using yeasts Schizosaccharomyces pombe and Candida albicans as model systems. The successful candidate will support in maintaining lab infrastructure and research studies.

Requirements:

• BSc (Hons) or MSc in Biological Sciences or related fields
• Prior experience with protein purification or lipid biology
• Highly motivated and able to work independently
• Passion for science and willingness to pursue graduate study is preferred

Salary and benefits are commensurable to educational qualifications and working experience of the candidates. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their applications (including a cover letter, curriculum vitae, and three referees’ contacts/ reference letters) to:

Dr ZHANG Dan

Principal Investigator

Temasek Life Sciences Laboratory Limited

Email: [email protected]

(Please note that only shortlisted candidates will be notified)

Job description:

• Responsible for day to day Operations and administration on network & security infrastructure
• Responsible for firewall security appliances, routers and switches particularly trouble shooting and/or debugging network related problems.
• Perform support, configuration and maintenance of network equipment and network operating System
• Perform basic Linux administration and able to configure, manage network application.
• Handle network projects and identify any missing components in the infrastructure and support future demands on the network infrastructure.
• Good Knowledge troubleshooting, problem identification, problem resolution and/or resolution recommendation activities
• Must have experience in managing of Checkpoint firewall, Extreme, HPE, Cisco, Aruba Switches.
• Work with vendors to deliver the project scope and meeting project deadlines
• Proactively monitor network performance, ensuring high network availability and smooth operations
• Involve in Network and IT audit and adhere to security compliance and governance.
• Perform evaluation, proof of concept and provide recommendations

Job Requirements:

• A Bachelor’s degree in Computer Science, Computer Engineering, IT or equivalent
• Must be CCNA certified, CCNP preferred
• Working knowledge plus at least a year’s experience in networking technologies like Structured Cabling, WAN, LAN, VPN, Network Security, Wireless, iBGP, eBGP, Routing Protocol, OSFP etc.
• Hands on experience in implementing, administering and troubleshooting network infrastructure devices, including cisco, Brocade routers, Dell enterprise and cisco switches, network firewall, IPS, SIEM, vulnerability assessment and monitoring tools
• Experience in IPv6 and Data Centre operations an advantage
• Familiarity with Linux (as a user and system), container technology, security concepts, project management and ITIL processes will be added bonuses
• Familiar with Dense wavelength division multiplexing DWDM) is a plus.
• Familiar with basic Linux administration is a plus.
• Minimum 2 years of relevant experience

Your future role within QRT

• Your core objective is to create high quality predictive signals
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities
• Share and discuss research results, methodology, data sets and processes with other researchers
• Implement the signals and the relevant datasets within the global execution platform
• Monitor signal behaviour and model performance over time
• You would lead the full strategy research cycle from signal generation to implementation

Your present skillset

• Min 3 years of relevant experience
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#)
• Experience in exploring large datasets across multiple time frames is a plus
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
• Capacity to work with autonomy within a collegial and collaborative environment
• Strong capacity to communicate with technologists, data scientists and traders across the globe
• Proven track record in delivering successful systematic strategies

Job Description

We are seeking two post-doctoral candidates for research in the area of resilience analysis. The responsibilities are as follows:

(1) Develop resilience models for complex systems considering human behaviors
(2) Develop statistical inference techniques to analyze resilience data
(3) Draft and submission of technical progress reports at regular intervals
(4) Present of research progress and latest findings at regular intervals
(5) Publish of quality research journal articles and conference proceedings to disseminate research findings internationally

Job Requirements

• Applicants should have a PhD degree in industrial engineering or other relevant areas.
• A strong publication record in the area of resilience engineering.
• Good at programming using Python, R, Matlab or Mathematica.
• Good English writing skills.

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

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

We regret that only shortlisted candidates will be notified.