Job Purpose

The School Nurse provides medical care for students throughout the school day, and oversees school wellness programs.

Job Duties and Responsibilities

Provide Nursing Care Services

• Dispense prescription medications to students as per parents or doctors’ instructions / medical directives.
• Provide basic first aid for minor injuries such as cuts, scrapes and bruises, and stabilising severely ill or injured students until parents, guardians or emergency services arrive;
• Ensure a clear and smooth communication with the families and the team members.
• Complete relevant nursing documentation.
• Maintain and restock First Aid Kits

Manage School Wellness Program

• Educate students on hygiene and safety practices.
• Collect and analyse statistics using our record.
• Organise meetings with the School Principal to follow-up on healthcare needs.
• Participate and moderate educational team meetings to better assist special needs children, and liaise with the Special Needs support team of practitioners.
• Participate in the organisation of protocols to deal with major emergencies occurring in the school.
• Communicate with the canteen service to come up with balanced, healthy meals adapted to the children and follow-up weekly.
• Conduct student hearing and vision screenings.
• Verify vaccination records.

Daily Routine Duties

• Communicate and coordinate with the school cleaners and classroom assistants to ensure that they are adequately equipped and informed on hygiene and safety practices.
• Record student absences, communicate with families in case of a child’s absence, finding out the reasons, thus getting a better visibility of the potential diseases in the school.

If while carrying out the duties of the role, the job holder identifies any instance that a child is suffering or likely to suffer significant harm either at school or at home, s/he must report any concerns to the School Principal so that a referral can be made accordingly to the relevant third-party services.

Job Competencies

• Standard clinical skills to dispense medications and treat minor ailments and injuries
• Adequate math skills to ensure proper dosage amounts when dispensing medications
• Good communication skills to work with students and parents
• Ability to demonstrate a calm, caring demeanour when working with children
• Good presentation skills for training school staff
• Ability to remain focused in the event of a student medical emergency.

Job Key Relationships

• Line managed by School Principal
• Liaise with School Principal, pedagogical team, and other support team members
• Liaise with parents, guardians, and other external parties like Special Needs healthcare practitioners, ambulance paramedics, enrichment activities providers etc.

Required Qualifications and Desired Attributes

• Must have completed a minimum of 1,000 hours of clinical experience or three years of academic experience.
• A minimum of 2 years of experience as a school nurse is preferred; experience with young children will be considered a plus.
• Fluency in English, bilingual in French and English is preferred, but not a must.

Desired attributes:

• Kind, benevolent, and reassuring, able to listen to the children’s needs and attend to their well-being.
• Results-driven and resourceful, with a strong affinity for critical thinking, hands-on execution, and problem-solving
• Self-directed and able to work without supervision
• Excellent team-player
• Dynamic and proactive
• Diligence

Working Conditions

Workplace

• Most time on La Petite Ecole campus site, when needed or required, off site on school functions, excursions, meetings, events, and professional development.

Work Time

• Monday to Thursday: from 8am until 5pm
• Friday: from 8am until 4pm
• Attending the team meetings in the week prior to back-to-school day.

Reporting to Director, Corporate Services we are looking for a candidate to support senior management in strategic planning and management in manpower, and Institute resources as well as overseeing the day-to-day running of the division.

You will work closely with the core management team in managing the Institute overall budget and resources, liaising with the stakeholders in staff recruitment and management of manpower budgets. You will be working with the HR partners in ensuring all HR functions are properly administered and ensure timely and accurate reporting to requests from Head Office

A self-starter, problem solver and matured individual who can work independently with minimum or no supervision. Some HR-related experiences will be preferred with strong interpersonal skill to work with all levels of colleagues. Responsible in guiding and providing mentorship to the team towards achieving optimal results.

Requirements:

• Bachelor's degree with 7 years' experiences preferably in HR and resource management
• Resourceful and result oriented
• Strong analytical and organisational skills
• Effective communicator and a people person
• Organised, meticulous and detail-oriented

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.

Reporting to Director, Corporate Services we are looking for a candidate to support senior management in strategic planning and management in manpower, and Institute resources as well as overseeing the day-to-day running of the division.

You will work closely with the core management team in managing the Institute overall budget and resources, liaising with the stakeholders in staff recruitment and management of manpower budgets. You will be working with the HR partners in ensuring all HR functions are properly administered and ensure timely and accurate reporting to requests from Head Office

A self-starter, problem solver and matured individual who can work independently with minimum or no supervision. Some HR-related experiences will be preferred with strong interpersonal skill to work with all levels of colleagues. Responsible in guiding and providing mentorship to the team towards achieving optimal results.

Requirements:

• Bachelor's degree with 5 years' experiences preferably in HR and resource management
• Resourceful and result oriented
• Strong analytical and organisational skills
• Effective communicator and a people person
• Organised, meticulous and detail-oriented

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.

Role description
· In charge of organizing daily nursing, developing and meeting operational standards following the guidelines given by the managing director.
· Implementation of a quality management system, its use and development in the unit

Know-how
· Know-how in nursing and the necessary education and training
· Know-how in quality management
· Know-how in personnel
· Know-how in legal matters concerning social and health services

Responsibilities
· Organizes daily nursing and its daily planning
· Upholds a quality management system, its use and development
· Establishes a compassionate environment by providing emotional, psychological, and spiritual support to clients and families
· Protects clients and employees by developing and interpreting infection-control policies and protocols; enforcing medication administration, storage procedures, and controlled substance regulations
· Ensures operation of medical and administrative equipment by verifying emergency equipment availability; completing preventive maintenance requirements; following manufacturer's instructions; troubleshooting malfunctions; calling for repairs; maintaining equipment inventories; evaluating new equipment and techniques
· Maintains nursing supplies inventory by recording usage; anticipating needed supplies and requisitions
· Promotes client's independence by establishing care plans/goals
· Provides teaching and counseling clients and family members by reinforcing their understanding of disease, medications, and self-care skills
· Maintains safe and clean working environment by implementing and updating procedures, rules, and regulations
· Assists in planning daily work shift
· Leads in risk management in nursing
· Resolves problems and identifies system improvements
· Ensures client safety
· Contributes information to strategic plans and reviews
· Implements production, productivity, quality, and client-service standards
· Implements of nursing and service plans
· Accomplishes nursing training, assigning, coaching, counseling, and disciplining care staff
· Communicates job expectations
· Planning, monitoring, appraising job contributions
· Adheres to Handbook, policies and procedures

Decision making
· Guidelines relating to nursing
· Participating in decision making concerning personnel

Goals
· Client safety
· Job satisfaction
· Client satisfaction
· Quality of activity
· Ethics of nursing

Stakeholders
1. Maintains a cooperative relationship among team members by:
· communicating information responding to requests
· building rapport
· participating in team problem-solving methods.

2. Most important stakeholders:
· Centre Manager: reporting
· Hovi Care employees: implementing decisions
· Clients and their families
· Management team: reporting
· Hovi Care Partners

Job purpose:

The goal of Family Life Group is to nurture a family-friendly society by strengthening family resilience through all stages of life, and to support families to overcome early risks and challenges to family relationships. The successful candidate will be supporting the development of operational and engagement strategies for the Family Life Group under the Ops Planning and Transformation (OPT) division.

Job duties:

• Assist in developing and executing engagement strategy on new focal areas with cross-cutting priorities within Family Life Group
• Support in identifying and engaging key stakeholders and opinion leaders on new focal areas
• Develop engagement toolkits and levers to engage different stakeholders (e.g. religious organizations, Social Service Agencies, corporates)
• Develop stakeholder mapping/tiering to guide customized engagement efforts
• Basic Research Support: Assist in conducting desktop scans and basic research activities (e.g. create online survey form) to gather relevant information and insights for operational planning and transformation initiatives within the Family Life Group
• Data Analysis and Reporting: Using Microsoft or other tools to collect, analyze, and present data from basic research activities to support decision-making and identify areas for improvement
• Project Support: Ensure progress coordination, documentation and tracking of key research and transformation initiatives. Ensure alignment with project requirements and timeline
• Admin and Logistics Support: Prepare for meetings (e.g. assist in obtaining agenda materials), support collation of info/responses/inputs across teams, logistics support for workplan/engagement sessions (e.g. booking venues, coordinating refreshments, collating attendance/feedback, printing materials etc.)
• Documentation and Knowledge Management (KM): Contribute to the development and maintenance of KM within OPT. This includes developing and maintaining an organized archive of operational planning materials.

Requirements:

• Degree in any field
• At least 1 year of research support, project support and data management experience
• Experience in managing stakeholders

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.

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PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22108817 Lin JingYuan

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 postdoctoral research fellows to work on topics on machine learning and its scientific applications. The successful candidate will work with Dr Li Qianxiao on these topics.

The main responsibility of the position include conducting cutting-edge research in machine learning theory and algorithm research, with applications to materials and quantum sciences. Topics include (but are not limited to) data-driven multiscale modelling, approximation and optimisation theory of new architectures and applications in dynamics, and learning and controlling deterministic and stochastic dynamics.

Qualifications

• PhD in (Applied) Mathematics, Computer Science, Physics or related fields
• Minimum two years and above of working experience
• Strong knowledge in machine learning and deep learning
• Familiarity with basic theory of dynamical systems, ODEs, PDEs, and stochastic processes
• Knowledge in computational physics and chemistry are desirable
• Ability to code in Python with at least one of the popular deep learning framework, e.g., Jax, PyTorch, etc
• Academic research with strong publication record. The candidate should have published in top machine learning conferences and journals, such as ICML, ICLR, NeurIPS, JMLR, etc. Publications in applied sciences are also desirable.

• Assist the Medical Director in the consultation room and procedures both in & outside the Centre.
• Assist in laser refractive procedures and other minor procedures.
• Maintain stocks & inventory of surgical consumables and upkeep of operating theatre and instrument sterility.

Requirements:

• Fully registered with Singapore Nursing Board
• At least 2 years of nursing experience in Ophthalmic/Surgical setting

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

• Assist the Medical Director in the consultation room and procedures both in & outside the Centre.
• Assist in laser refractive procedures and other minor procedures.
• Maintain stocks & inventory of surgical consumables and upkeep of operating theatre and instrument sterility.

Requirements:

• Fully registered with Singapore Nursing Board
• At least 2 years of nursing experience in Ophthalmic/Surgical setting

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

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.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.
• Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.
• Database management experience is desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

We are seeking a talented and ambitious candidate to join our team in developing next-generation quantum sensors. The project focuses on creating a mesoscopic-scale "artificial atom" through superconducting levitation of a ferromagnetic particle. This levitated, freely precessing particle represents a system of correlated spins, capable of rapidly averaging quantum uncertainty. By leveraging this system, we aim to develop quantum sensors with sensitivities surpassing the standard quantum limits.

This position is based in A*STAR Quantum Innovation Centre (Q.InC). The successful candidate will contribute to a range of innovative activities, including:

Key Responsibilities:

• Development of high-performance sources to generate squeezed light.
• Characterizing the squeezed light.
• Modeling the dynamics of the levitated particle
• Microfabrication of the particle, silicon pocket, and superconducting materials
• Develop a hybrid motion tracking system integrating SQUID technology with squeezed light techniques.

Requirements:

• Ph.D. in Physics, Applied Physics, Precise Instrumentation, or related fields
• Strong motivation for multidisciplinary research
• Prior experience in superconductivity and/or quantum sensing is highly preferred
• Proficiency in programming languages such as Python or MATLAB
• Strong teamwork and 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.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Scientist 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 candidate will be joining the Antimicrobial Chemical Biology Lab, a newly established group in A*STAR ID Labs focusing on the development of synthetic antimicrobial compounds for potential therapeutic application against infection.

Research projects will encompass various tasks such as:

• Chemical synthesis
• In vitro antimicrobial activity testing
• Understanding mechanisms of action
• In vivo efficacy evaluation.

The candidate will be trained on project management and ideation of new studies aligning with the lab focus. They will also support the team in lab operation, safety oversight, and documenting experimental procedures and results.

Job Requirements

• Ph.D degree in microbiology, biomedical science, bioengineering, or any other related field
• Having background knowledge in AI and programming will be an advantage
• Highly motivated and passionate about scientific research
• Effective communication both verbally and in writing
• Team player
• Receptive and detail-orientated

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.

$3,500 to $5,500
Telok Ayer

4-day work week - Shift

Job Responsibilities

• Performing prompt and quality nursing care to patients
• Assisting physician in procedures and consultations
• Attending patients’ overall needs
• Taking of vitals and charting
• Following up on patient care and treatment
• Readily develop rapport with patients, staff and physician
• Preparing equipment and support physician during treatments
• Ad-hoc duties as assigned by supervisor

Job Requirements

• Singapore Nursing Board registered nurse with 1 – 4 years of nursing experience
• Must have valid BCLS and AED certification
• Preferably have A&E ward experience
• Able to commit shift hours including weekends and public holidays
• Willing to travel when being deployed

Interested applicants can email your CV to [email protected] or whatsapp to +65 89249206

The Supreme HR Advisory Pte. Ltd || 14C7279

Chua Jie Ying (Cai Jie Ying), Evelynn || EA Personnel License R24120580

Home Care Nurse

$3,500 to $5,500
Telok Ayer

4-day work week - Shift

Job Responsibilities

• Performing prompt and quality nursing care to patients
• Assisting physician in procedures and consultations
• Attending patients’ overall needs
• Taking of vitals and charting
• Following up on patient care and treatment
• Readily develop rapport with patients, staff and physician
• Preparing equipment and support physician during treatments
• Ad-hoc duties as assigned by supervisor

Job Requirements

• Singapore Nursing Board registered nurse with 1 – 4 years of nursing experience
• Must have valid BCLS and AED certification
• Preferably have A&E ward experience
• Able to commit shift hours including weekends and public holidays
• Willing to travel when being deployed

WhatsApp: +65 9642 0989 (Han)

Email: [email protected]

Chaw Chiaw Han, Reg No：R22106723

The Supreme HR Advisory Pte Ltd, EA No：14c7279

Job duties and responsibilities :

• Oversee and manage all Singapore Chinese Health Study genetic data hosted on GIS RAPTOR platform.
• Coordinate data extractions and data transfer for the Singapore Chinese Health Study.
• Manage design, develop, verification and validation activities for appropriate genetic data storage and analysis.
• Execute large-scale genetic evaluations for ageing biomarkers and age-related traits and outcomes with the Singapore Chinese Health Study dataset.
• Coordinate data harmonization with key collaborators to enable larger scale data analysis.
• Maintain proper logs and filing for all project documents and records.

Job requirements :

• Proficiency in large-scale genomics evaluations.
• Proficiency in cloud computing, unix based computational platforms.
• Excellent communication and collaborative skills and ability to work as part of a larger team.
• Meticulous in delivering and documenting tasks with appropriate computational tools.
• Well acquainted with basic molecular biology techniques including qPCR and NGS
• PhD in genomics, computational biology or related fields.

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.

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

As part of IME Integrated Circuit Design and System Department, we are looking for a candidate with relevant experience in ultrasound imaging system design. This candidate will define an ultrasound transducer array beamformer IC architecture for imaging applications. The candidate will work closely with MEMS team on system architecture, circuit design, simulation, validation, and integration.

Role & Responsibilities

• Perform system-level beamformer architecture, design, and simulation, to derive circuit-level design specifications.
• Beamforming array optimization using AI algorithms.
• Design and implementation of beamformer algorithm in hardware.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Good understanding of ultrasound imaging systems and beamforming theories.
• Knowledge of AI algorithms and implementation will be a plus
• Familiar with IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

As part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will have the opportunity to develop unconventional ultrasound transducer drivers, receiver circuits for IoT and biomedical applications as well as cutting-edge high-speed analog circuits for advanced optical communication.

Role & Responsibilities

• Design and tapeout circuit blocks e.g. high linearity low-noise amplifier, variable gain amplifier, envelop detector, and high voltage driver for MEMS ultrasound transducers.
• Work together with team on system integration and demonstration.
• Work together with team to investigate novel circuit/system solutions to create new inventions.

Requirements

• Master’s / PhD degree in Electrical Engineering or equivalent
• Minimum 2 years of transistor-level analog circuit design experience
• Good understanding of CMOS analog IC design methodologies and successful tapeout experience
• Familiar with analog IC design and verification flow
• Design experience with high voltage BCD process would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Job Description:

• Develop epitaxial processes for selective and non-selective growth of Ge and SiGe layers on Si substrates.
• Improve baseline processes for high-quality SiGe and Ge epitaxy: control uniformity and thickness and minimize threading dislocation density.
• Design epitaxial structures and develop processes for Ge and SiGe photodetectors (PD) and electro-absorption modulators (EAM) devices, integrating Ge/SiGe devices into Silicon photonic circuits.
• Troubleshoot to maintain tool and process quality. Prepare Standard Operating Procedures (SOPs), Out-of-Control Plans, and other technical documentation to maintain processes and tools.
• Perform metrology and characterization of SiGe and Ge epilayers (e.g., dopant and thickness uniformity, surface roughness, crystal quality, stress, carrier lifetime, etc.).
• Correlate SiGe and Ge crystal defects (type and density) with device performance and yield, and with device processing conditions.
• Provide technical support for technology transfer and process release requirements.
• Prepare technical presentations and papers for meetings, conferences and journals.

Requirements:

• PhD degree in Materials Science and Engineering, Physics, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 3 to 5 years direct experience in SiGe/Ge epitaxy and materials characterization.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired.
• Understanding of epitaxial system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Duties and Responsibilities - Process Integration

• Plan the integration flow with device designers
• Draft the runsheet by translating the flow into process steps and capturing necessary shortloops
• Perform the DoE with process module teams
• Track the lot and report the progress
• Identify failure modes/root causes and address the problems by proposing changes
• Must be good at documentation and written communication

Job Requirements

• Bachelor's degree in Microelectronics, Electrical, Mechanical, or Chemical Engineering.
• A basic understanding of the semiconductor processes is preferred.
• 3-5 years of hands-on experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will add advantages.
• Must be a team worker with the project stakeholders (device design, process module, and equipment/facility).

Principal Scientist for Advanced Photonics and Flat Optics Process Integration

The candidate will take the lead for the development of advanced photonics and flat optics integration. This could include but not limited as photonic integration, photonic heterogeneous integration, multi-layered flat optics integration, electro-photonics integration, etc., with various materials. The candidate will work closely with an excellent multidisciplinary and high-industry driven team involving photonics, semiconductor process, and fab operation.

Responsibilities:

• Development of various photonics integration process with 8-inch and 12-inch fabrication facilities, including such as photonics heterogenous integration and flat optics integration.
• Design of Experiments (DOE) for both design and process margin checking and process control.
• Baseline integration process development and standardization for both photonics heterogenous integration and flat optics integration.
• Lead the inline defect analysis and process DOE towards yield improvement.
• Lead the inline process metrology data taking and analysis, device / circuit performance data taking.
• Data analysis and documentation.
• Preparation of technical presentations and papers for internal meetings, as well as conferences and journals.
• Collaborate with project team to ensure quality and on-time delivery for various projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent.
• Strong hands-on experience in CMOS or Photonics integration.
• Minimum 10 years working experience on commercial foundries or equivalent.
• Minimum 10 years project and team management skill.
• Strong communication, industry awareness, and problem-solving skills.
• Strong self-motivation and interest in the next-generation advanced photonics technology and product development.

About the position

Aurora’s Research department is seeking an Associate to join our energy analytics and clientfacing services for the Asia energy sector, based in our Singapore office and supporting key ASEAN countries, Taiwan, and South Korea. You will contribute to the firm by developing analysis and conveying insights to enhance clients’ decision making. You will play an active role in all aspects of client engagement: helping identify issues, forming hypotheses, conducting analysis, and synthesising conclusions into recommendations.

Your role will be essential for fostering the development of your team members in Singapore and the wider APAC region, providing market-leading analysis to top clients, and contributing learnings to Aurora’s wider global Research team. You will be supported by market-leading modelling and software capabilities, and form a core part of a small, influential team of power market experts.

You will combine technical strength with a strong track record of leadership and performance in team-oriented environments.

Key Responsibilities

• Lead research reports, and consulting projects, from the idea to the presentation to clients and press, under the supervision of the senior leadership in the APAC team.
• Keep abreast of developments in policy, markets, and technology, and then use this to develop and provide data-driven insights to clients on how energy markets could develop.
• Represent the firm at external events as an expert in this rapidly evolving market, and develop our thought leadership, analysis, and subscription product offering.
• Play a critical role in product delivery and development, as well as client engagement - identifying client needs, and continuously enhancing the service we provide.
• Develop analysis into the energy transition for both public and private sector clients; and present these insights in client meetings and presentations.
• You will report to the Market Lead and work within Aurora’s larger Research and Publications team.

What we are looking for

Required attributes:

• We will consider candidates who have between 3 – 4 years of experience at a consultancy, energy company, financial services company, or other knowledge focused firm or institution.
• First-class or high second-class university degree
• Demonstrated success in taking responsibility for project and process management in team-oriented environments
• Proven ability to interpret and derive insight from complex quantitative data and information
• Ability to communicate clearly and co-operate effectively with both technically and non-technically minded people
• Self-starting, entrepreneurial mindset, and desire to grow the business
• A fast learner with Excel skills or competency or interest in common programming languages (e.g., python, SQL, MATLAB)
• Proficiency in English

Desirable attributes:

• Demonstrated success in client-facing positions
• Knowledge of key financial metrics and economic principles (NPV, IRR, DCF)
• Competence in advanced data analytics (e.g. Python, R, Matlab, Advanced Excel)
• Previous experience of working on energy projects
• Relevant Master’s degree or PhD
• Proficiency in a second language, e.g,. Mandarin, Korean, Thai, Vietnamese, Bahasa Indonesia

What we offer

• The opportunity to substantially influence major decisions in the energy sector
• Direct engagement with clients through Aurora conferences, workshops and webinars
• The opportunity to grow into a publicly visible industry expert
• A fun, informal and international work culture
• Private medical insurance • Access to employee discount platform - Perkbox
• Access to the Aurora Academy, our training programme offering a range of opportunities to develop your skills
• Access to our Employee Assistance Programme (EAP), offering a complete support network that offers expert advice and compassionate guidance 24/7/365, covering a wide range of personal and professional aspects

The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership and pregnancy and maternity.

About us

From its academic roots, Aurora Energy Research has grown to become the largest dedicated power market analytics company in Europe, providing data-driven intelligence for strategic decisions in the global energy transformation. We are a diverse team of around 600 experts with vast energy, financial and consulting backgrounds, covering power, renewables, hydrogen, carbon and fossil commodities.

We are active in Europe, the Asia-Pacific region, and the Americas, working with worldleading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software. We are a thriving, rapidly growing company with offices across the globe and more opening soon. We currently serve around 200 of APAC’s most influential energy sector participants, including utilities, investors, and governments, and expect to continue to grow rapidly, adding new countries and products to
our portfolio.

We are seeking passionate scientists who wish to develop innovative methods in the metagenomic assembly field. Our lab is focused on leveraging new technologies to better study microbial populations and their impact on human health. In this context, our lab has extensive experience in metagenomic analysis and has developed several widely used tools in this field. We?re now focusing on new methods to obtain a comprehensive catalogue of complete genomes at the strain level from metagenomic samples, which can be further leveraged for comparative genomic analysis.

The successful candidate will have the opportunity to work in a highly interdisciplinary environment, with unique access to next-generation sequencing technologies and a wide range of samples. Solutions developed during this project will have direct applications to ongoing and new microbiome research projects in the lab, particularly in studying antimicrobial resistance and skin diseases.

The Nagarajan Lab is based in the Genome Institute of Singapore (GIS) which is the national flagship program for genomic sciences in Singapore with a mission to use genomics to improve public health and national prosperity. Singapore is a highly cosmopolitan city-state at the cross-roads of Asia with one of the highest standards of living in the world.

The GIS provides an internationally competitive remuneration package and relocation assistance.

Requirements:

• PhD in Computational Biology, Computer Science, Electrical Engineering/Genomics
• Strong analytical and programming skills (Python, C++, UNIX environment).
• Candidates with significant experience in assembly algorithms will be strongly preferred.

How To Apply: E-mail cover letter, research statement, curriculum vitae, and contactdetails of at least three referees to Niranjan Nagarajan ([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.

Job Position: Research Engineer

Job Description

We are seeking machine learning and image recognition specialist to join our project team. The ideal candidate preferably has the background in machine learning techniques and image recognition algorithms to solve complex problems and improve project outcomes. You will work closely with a multidisciplinary team to develop, implement, and optimize ML models that are critical to the success of our projects.

• Design, develop, and deploy machine learning models and image recognition algorithms tailored to project-specific requirements.
• Collaborate with cross-functional teams to understand project needs, gather, and analyse requirements, and deliver ML-driven solutions.
• Conduct data collection, preprocessing, and augmentation to create training datasets.
• Implement and optimize image recognition models for accuracy, efficiency, and scalability.
• Evaluate model performance using appropriate metrics and make necessary adjustments to improve outcomes.
• Stay abreast of developments in machine learning and image recognition fields to incorporate cutting-edge technologies and methodologies into project solutions.
• Document model development processes, algorithms, and performance metrics.
• Provide technical guidance and mentorship to team members on machine learning and image recognition best practices.

Required/Desired Skills

• Experience in machine learning and image recognition, with a strong portfolio of project work that demonstrates expertise in these areas.
• Proficiency in programming languages such as Python, and familiarity with ML libraries (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
• Experience with deep learning architectures (CNNs, RNNs, GANs) specifically designed for image processing tasks.
• Analytical skills with the ability to solve complex problems independently and as part of a team.

Required/Desired Qualifications

• Bachelor’s or master’s degree in Electronics & computer science, Artificial Intelligence, or a related field.

Experiences

Minimum 3 years’ experience in machine learning and image recognition within a technology/research organisation. Fresh graduate with relevant knowledge and skills will be considered.

The Research Associate will be involved in primary research and responsible for reaching out to fund managers based in the Asia Pacific region to build relationships and obtain valuable proprietary information. This information consists of investment activities and preferences, fundraising and performance. This is a unique research role, requiring a sales-like mindset to unlock research relationships across the region. The role will also include handling data inquiries, quality assurance, data monitoring for consistency and client engagement regarding our Preqin Pro platform. The role will be based in Singapore.

In this role you will be:

• Proactively communicating and building relationships with key professionals of all levels within the alternative assets industry to obtain valuable proprietary information on past, current and future investment activities including historic performance.
• Holding regular face to face meetings with APAC-based fund managers to gain fundraising and performance data.
• Working actively alongside the APAC sales team to build strategic research relationships with fund managers and other key regional associations.
• Representing Preqin at conferences and networking events.
• Updating Preqin’s online database with key financial information, statistics and analysis.
• Conducting bespoke statistical analysis for clients.
• Liaising with our teams in North America and EMEA, as well as collaborating with other departments in the company, to deliver requests and provide solutions.
• Supporting senior leaders on research projects and regional strategy regarding further data enhancement and development activities.
• Contributing to research reports, blogs and publications occasionally.
• Conducting supplementary public/web research where necessary.

You are a good fit if:

• You have a bachelor’s degree or equivalent, with relevant industry experience of 2 years.
• You possess highly proactive and enthusiastic approach to relationship building.
• You have strong research capabilities and investigative instincts.
• You perform effectively in a target-driven environment, working towards set KPIs and performance metrics.
• You are highly organised, self-motivated and collaborative.
• Regional knowledge of the private capital industry, and alternative assets in general, is desirable.
• Proficiency in Microsoft Excel is desirable but not essential.
• Previous work experience focused on communication and relationship management is highly desirable.
• Additional languages highly desirable as Preqin operates in a global market.