Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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.

We are seeking an enthusiastic and capable full-time Postdoctoral Fellow for the project at the A*STAR Singapore Institute for Clinical Science (SICS). The candidate should have expertise in family and population issues, especially children’s development and have a social science background.

Requirements:

• A Ph.D. degree in Social Sciences discipline from a recognized university
• Research expertise in topics related to trends and changes in family, population and child development
• Min. 3 years of experience with survey operation in longitudinal studies
• Advanced quantitative research skills
• Publication record in areas related to the above-specified research areas
• Excellent written and spoken communication skills
• Strong organizational skill and interpersonal skill
• Experience with large-scale longitudinal surveys on early childhood is strongly desirable
• Other ad-hoc duties as assigned

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with L. Roman Carrasco on counterfactual analysis of community-based fisheries projects in Philippines and spatial modeling of possibilities to scale up projects under the project Quantifying the Mechanisms for Effective Community-Based Fisheries Management.

The main responsibilities of the position include:

• Coordinating secondary data collection and organization with project partners.
• Leading survey design in collaboration with all project partners.
• Providing support for survey implementation by local teams in the Philippines.
• Collating, cleaning and organising secondary and primary data, and associated materials, for analysis.
• Conducting the primary impact evaluation.
• Conducting the analysis of mechanisms to impact.
• Collaborating with UK partner on analysis of adoption of community-managed fisheries.
• Managing all logistics relating to project design and management,
• Ensuring all outputs are delivered on time.
• Coordinating monthly (or bi-monthly) meetings with all partners and maintaining positive relationships with all partners throughout.
• Producing 1-2 papers.

Qualifications

• PhD in Environmental Economics, or other Environmental Social Science field with a strong quantitative element.

Skills

• Expertise designing and implementing social science surveys and key informant interviews in local communities.
• Advanced econometric skills to conduct impact evaluation using counterfactual methods (e.g. matching, diff-in-diff).
• Expertise using structural question modelling and/or path analysis to quantify the mechanisms determining impact.
• Expertise in community-based natural resource management, particularly in coastal areas in SE Asia or Pacific Island Countries
• Proven ability to coordinate a multidisciplinary team of researchers and practitioners across geographic time zones.
• Ability to communicate well, conveying ideas and concepts clearly and effectively to different audiences.
• Excellent organisational and management skills

Experience

The SRF will have extensive experience working with conservation practitioners in international contexts, and coordinating co-production of research strategies and tools for deployment in the field. S/he will be comfortable managing multi-disciplinary research teams, and will have experience leading, motivating, developing and managing the performance of team members. Expertise with community-managed conservation, particularly around fisheries management in the tropical south, would be a plus.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI with minimum 4 years of relevant experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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.

Responsibilities:

• Lead multidisciplinary teams in designing, developing and implementing sustainable solutions
• Manage project timelines, budgets, and resources effectively
• Ensure successful project delivery and stakeholder satisfaction
• Engage with startups, research institutions and industry experts
• Build strategic partnerships to accelerate technology adoption
• Represent Yokogawa at conferences, workshops, and industry events
• Stay abreast of advancements in sustainability focus areas such as Net Zero, Circular economy and Well Being
• Provide technical guidance to project teams
• Contribute to patent filings and intellectual property development
• Publish white papers, participate in webinars, and contribute to thought leadership forums.
• Mentor junior technologists and foster knowledge sharing

Requirement:

• Master / Degree in Engineering, Science, Management
• Minimum 8 years of relevant experience in technology development, research, or innovation in sensing, control and optimization with at least 3 years’ experience in managing a team
• Proven track record of leading successful grant applications, Research collaborations and projects execution
• Relevant data analytics and programming skills needed to support the research work
• Experience in handling both agile projects and an industry projects
• Experience in new ventures, small business growth, start ups is a plus

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

Are you being referred to one of our roles? If so, ask your connection at Yokogawa
about our Employee Referral process!

The Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, as Singapore’s national platform for drug discovery and development. We are committed to discover and develop novel therapeutics by working collaboratively with both public sector and industry partners to translate innovations from bench to clinic using industry relevant and cutting-edge technology platforms. This includes tackling complex and unmet medical challenges in disease areas such as oncology, fibrosis, infectious and autoimmune diseases. EDDC is now seeking under the IFP programme a highly skilled and motivated Bioinformatics Scientist/Engineer to join the Computational Biology group to drive data-driven discovery of therapeutic targets and clinically relevant biomarkers, achieving wholistic understanding of human disease biology and pathology.

This is an eighteen months on-the-job training programme that requires participation in and supporting cross-functional and collaborative drug discovery projects. By joining EDDC, the IFP candidate will be part of a dynamic, interdisciplinary team geared to enhance and facilitate the drug discovery journey through data harmonization and deconvolution, multimodal data analytics, and advanced machine learning. The role will also leverage strategic partnerships both locally and globally, to adopt a flexible approach in refining and advancing EDDC’s solutions.

Responsibilities:

1. Multimodal data analytics for target, biomarker discovery and MoA elucidation

o Develop and implement computational strategies for integrated analysis across diverse biological datasets, including but not limited to genetics/genomics, transcriptomics (bulk- and single-cell RNAseq) and proteomics data.o Employ state-of-the-art machine learning and AI techniques to uncover patterns in extensive biological datasets, developing predictive models that inform therapeutic strategies.o Collaborate with cross-functional colleagues to drive the data-driven discovery and prioritization of novel therapeutic targets and clinically relevant biomarkers, integrating advanced analytics to elucidate the molecular mechanisms of action.

2. Data Integration and automation

o Evaluate and harmonize multi-dimensional data to ensure data quality and consistency.

o Architect and manage databases for cross-functional biological data from public and proprietary sources.

o Optimise and automate workflows when applicable, streamline data access for researchers to facilitate high-throughput analysis and collaborative research efforts.

3. Collaborative Research and strategic partnerships

o Work closely with experimental biologists, chemists, and other computational biologists to design experiments, analyse results, and communicate findings in scientific reports and presentations.

o Establish and maintain partnerships with leading computational biology, data science, and AI entities both locally and globally, serving as the computational biology liaison to ensure effective communication and alignment of objectives between external partners and EDDC’s internal project teams.

4. Innovation and Continuous Learning

o Stay abreast of the latest developments in bioinformatics, data science, machine learning, and AI as they pertain to drug discovery and development.

o Implement new technologies and methodologies to refine in-house workflows and enhance EDDC’s computational platforms.

Requirements:

• PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. Minimally 5 years of postdoc experience or equivalent in industry settings.
• Applicants with suitable aptitude, potential and interest in harnessing big-data and advanced analytics for enhancing and accelerating drug discovery.
• Demonstrated experience in multi-omics data analysis (eg. genetics/genomics, bulk and single-cell transcriptomics, proteomics, etc.) and the application of machine learning in biological research.
• Proficiency in software engineering and programming languages such as Python and R, and familiarity with data engineering techniques including cloud-based and on-premises database services, database management systems, APIs and workflow development frameworks.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.
• Keen to learn new techniques and adaptable to changing priorities.
• Proficiency in machine learning and AI methodologies for analysing large-scale biological data, with a proven track record of developing predictive models to guide therapeutic development and strategy is an advantage.
• Industry experience in pharmaceutical or biotech companies is an advantage.

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.

Summary

The Operations Associate plays a crucial role in supporting the smooth functioning of day-to-day operations within the organization. This position requires strong organizational, analytical, and problem-solving skills, as well as the ability to work collaboratively with cross-functional teams. The Operations Associate will assist in various operational tasks, ensuring efficiency, accuracy, and adherence to company policies and procedures.

Responsibilities

· Supports the firm’s middle office operations in duties include but not limit to: financial assessments, perform trade confirmations, trade execution, and trade settlement

· Ensure operations are compliant with rules and regulations in various local jurisdictions

· Processing and verification of all trades for the day processed in the system

· Computation and reconciliation

· Summarize daily transactions for trade booking and attends to break resolution

Requirements

· Education in a related field (or equivalent experience).

· Fresh graduates or up to 1 year of experience.

· Knowledge on equity, fixed income, FX, futures and options, and crypto is a plus.

· Proficiency in using Microsoft Office Suite, project management software, and other relevant tools.

· Strong analytical and problem-solving abilities with a keen attention to detail.

· Ability to prioritize tasks, work independently, and meet deadlines in a fast-paced environment.

· Excellent communication and interpersonal skills to collaborate effectively with diverse teams.

· Effectively bilingual in both English and Mandarin.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Associate in Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcome Measurement) in the Centre for Research in Health Systems Performance, Yong Loo Lin School of Medicine.

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia. CRiHSP will be composed of a multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators. It will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research.

CRiHSP is collaborating with the Department of Family Medicine (DFM) at NUHS, which was established in 2017 with the aim of supporting the Division of Family Medicine within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS). DFM’s multidisciplinary team of clinicians, researcher, medical educators, and administrators works towards the common goals of achieving achieve excellence in Family Medicine education, research and practice. CRiHSP and DFM also benefit from a significant expansion in related fields and collaborations with the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw See Hock School of Public Health.

Job Description

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives. Start date is flexible, with the position expected to commence in the first half of 2024.

Purpose of the Post

CRiHSP is hiring a highly motivated and skilled Research Associate to contribute to a research project employing mixed-methods for the development of methods for measuring patient reported outcome measures in the population of Singapore based on the efficient application of Natural Language Processing and Item Response Theory to existing measurement systems working under the project Principal Investigator (PI), CRiHSP Director, Prof Jose M Valderas. The successful candidate will report the Senior Research Fellow responsible for the project. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future of healthcare and clinical practice.

Main Duties and Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liasing with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design and interpretation of quantitative surveys and qualitative interviews and focus groups and collect data
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission.
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential).Track record of publishing in international peer-reviewed journals (desirable)
  Demonstrated experience in Natural Language Processing (NLP) and/or Item Response Theory (IRT) methods , or programming languages such as R, Python (desirable)
  Researchers with existing research activities related to developing and using computerized adaptive (CAT) methods are particularly encouraged to apply.
  

Qualifications

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
  Ability to work independently and as part of a multidisciplinary team (essential)
  Highly developed problem-solving skills and adept at managing complex problems (essential)
  Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  Ability to work with culturally diverse populations (essential)
  

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Prof Jose M Valderas at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees) as well as a cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty microelectronics technologies at IME. His or her main roles and responsibilities include:

- Develop and support bonding process capabilities, including vacuum bonding, metal-metal bonding, fusion bonding, hybrid bonding, and temporary bonding for MEMS, silicon photonics, and advanced packaging applications.

- Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of wafer-to-wafer and die-to-wafer bonding.

- Participate in discussions with industry partners to align and develop the building blocks required for next generation advanced packaging platforms, including equipment capabilities.

- Participate as team member with process integration teams to actively support bonding process optimization and process troubleshooting for various industry and grant projects.

- Support preparation of competitive grant research project proposals and execution of these projects.

- File patents/know-hows on new development activities.

- Publish research findings in prestigious journals and conferences.

Job Requirement:

- PhD with specialization in Electronic / Microelectronics / Material Engineering / Material Science/ Chemistry / Physics or equivalent.

- Minimum 10 years of experience in wafer bonding technologies, either in an academic or industrial setting.

- Prior hands-on experience in wafer bonding with in-depth technical knowledge in atleast one or more bonding processes and mechanisms (vacuum bonding, metal-metal bonding, fusion bonding, hybrid bonding, temporary bonding) is required.

- Knowledge of MEMS, silicon photonics, or advanced packaging technology platforms is preferred.

- Strong experimental design (DOE) and data analysis skills is preferred

- Good interpersonal skills and strong demonstrated skills in collaborating with internal and external stakeholders.

- At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred

- Good oral and written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

- Self-driven with strong interest in next-generation applications of wafer bonding technologies and industry trends.

The NUS High School is a specialized school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science.

We are inviting suitable applicants for the following position:

Senior Executive, Partnership & Internationalization (2-Year Contract)

We are looking for candidates to provide support to the Partnership & Internationalization Department in the planning and executing of local and international programmes and that will support students’ learning and handle operational and administrative works for school events. You will work with multiple stakeholders including parents, teachers, alumni, industry partners, overseas schools in the course of work.

Key responsibilities:

· Plan and organize student exchange programmes including outbound overseas trips and hosting of inbound visits by overseas delegations, with attention to details related to specific logistical arrangements, timeline, budget & expenses, available resources etc.

· Manage and support logistics arrangements such as flights, accommodation, visa, transport etc. for overseas programmes involving staff and students.

· Source and collaborate with industry partners and other stakeholders on internships and job shadowing opportunities, manage student applications and monitor students’ internship progress and placements.

· Plan and organise STEM and innovation related learning journeys for students.

· Cultivate, develop and maintain international and local partnerships such as expanding database and network of existing and potential partners; providing support for delivery of relevant partnership programmes; facilitating memorandum of understanding signing; maintain centralized records of partnership database etc.

· Provide operational and logistical support for school events such as registration for the biennial Singapore International Mathematical and Modelling Challenge organized by the School etc.

· Support day to day administrative tasks such as providing timely report of programme data, publication collaterals, track relevant event KPIs, or other departments’ duties etc.

Requirements:

· · At least a Diploma/Degree from a reputable institution

· Preferred 1 – 2 years of relevant work experience in events and partnership management

· Strong administrative and organizational skills

· Meticulous and detail-oriented with high standards on logistical and operational arrangements

· Good analytical, planning, facilitation and problem-solving skills

· Strong interpersonal and communication skills (both verbal and written)

· Willing to travel overseas

· Proficient in Microsoft Office Suite with proficiency in MS Excel

· Pro-active, self-motivated and strong team player

· Drive and passion in working with students and other stakeholders of the school

· Effectively bilingual for correspondences with Chinese counterparts and able to do design work will be an advantage.

Employment Terms:

2-years contract, subject to renewal

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to [email protected] by 4 May 2024.

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

• Assistance to the coordination of the research activities in the Robots for Humans thrust.

• Assistance to the collaboration with external partners (CHART) and the interactions with users

• Assistance to the management of the workplan, deadlines, reporting, meeting organization.

Qualifications

• Degree in Engineering
• Expertise in project management

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to design and develop a hybrid cloud and edge-based energy management (HCEEM) framework that enables virtual energy trading among distributed energy resources (DERs) and existing utilities, fostering a sustainable and efficient energy ecosystem.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PIs, collaborators, and the research team members to conduct research on DERs and energy management techniques, focusing on the design and development of the HCEEM framework.
• Lead the development of algorithms, models, and methodologies for virtual energy trading among DERs and existing utilities.
• Collaborate with a multidisciplinary team of researchers and engineers to implement and test the HCEEM framework.
• Collect and analyze data from DERs, utilities, and energy markets to evaluate the performance and effectiveness of the framework.
• Publish research findings in reputable journals and present at conferences and workshops.
• Mentor and collaborate with graduate students and junior researchers, providing guidance and support in their research activities.
• Assist in writing grant proposals and securing funding for future research projects.
• Collaborate with industry partners and stakeholders to ensure the practical applicability and relevance of the research outcomes.
• Carry out Risk Assessment, and ensure compliance with Work, Safety, and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements

• Ph.D. in Electrical Power Engineering, Energy Management, or a related field, with a strong research focus on energy management and distributed energy resources. Candidates who have submitted their thesis can apply too.
• Extensive knowledge of energy management techniques, Smart Grid concepts, and virtual energy trading.
• Experience in algorithm development, optimization, and data analysis in the context of energy systems.
• Proficiency in programming languages (e.g., Python, MATLAB) and simulation tools commonly used in energy research.
• Strong analytical and problem-solving skills, with the ability to critically evaluate and interpret research data.
• Excellent written and verbal communication skills, with the ability to publish research findings and present at conferences.
• Proven track record of research publications in reputable journals and conferences.
• Ability to work both independently and collaboratively in a research team environment.
• Prior experience with cloud computing, edge computing, or energy market modeling is advantageous.
• Knowledge of regulatory frameworks and policies related to energy management and DER integration is a plus.

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The research staff conducts research in the areas of video analytics for remote pilotage, video compression, advanced sensing techniques, sensor and operation data fusion, data analytics and machine learning algorithms. The primary responsibility of this role is to deliver the program objectives for remote pilotage.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Any other duties as assigned

Job Requirements:

• Have relevant competence in the areas of sensing or data analytics or sensor fusion
• Have a degree in electrical, or computer engineering or equivalent.
• Knowledge of programming, video analytics and compression will be advantageous.

Key Competencies:

• Good knowledge in sensing, programming, data analytics.
• Possess strong analytical and critical thinking skills.
• Show strong initiative and take ownership of work.

The NUS High School is a specialized school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science.

We are inviting suitable applicants for the following position:

EXECUTIVE, HR (CONTRACT)

Employment Term:

June 2024 – February 2025

We are looking for candidates to provide support to the Human Resource Department in areas such as recruitment, onboarding & offboarding.

Key responsibilities:

· Manage activities in relation to recruitment, onboarding and offboarding for employees, new-hire orientations and data entry in human resources information systems (HRIS)

· Maintain employee files and records in electronic and paper form

· Generate official internal documents such as confirmation letters, employment letters and resignation acceptance letters

· Provide advice to employees in various HR-related topics such as leaves and compensation and resolve any issues that may arise

· Track government-paid Leave (Paternity/Maternity/Childcare) for timely submission

· Ensure compliance with local employment legislations and update policies and procedures when necessary

· Other ad hoc HR functions as and when required

Requirements:

· Possess at least Diploma in Human Resource Management or equivalent qualification in relevant discipline with 3 years or more relevant working experience

· Excellent interpersonal and communication skills, both written and oral

· High IT literacy and strong numerical and analytical skills.

· Proficient in MS Office applications including MS Excel.

· Resourceful and self-driven with high degree of professional integrity.

· Positive work attitude and has initiative

· Meticulous and a good team player

· Experience in SuccessFactors is an advantage

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to [email protected] by 4 May 2024.

Only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Fellow position for the design and execution of intervention trials, in the Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, with an affiliation with the National University Health System (NUHS) Centre for Healthy Longevity. The successful candidate will be responsible for overseeing the planning, execution, and monitoring of intervention trials, with a focus on ensuring compliance with study protocols and regulatory requirements.

The Centre for Healthy Longevity (CHL), one of 6 Centres of Excellence of the National University Health System (NUHS), aims to be a leading institute for geroscience research and translation globally, to be renowned for translating research into practice to improve healthspan.

The Healthy Longevity translational research program in the group of prof Andrea Maier is seeking a full-time research fellow to conduct and monitor geroprotective intervention trials with nutritional supplements in middle aged healthy populations. Experience in human clinical research is required.

Duties and Responsibilities

1. Perform literature reviews on micronutrient levels in middle-aged populations to define the optimal level of micronutrients.
2. Design and develop the protocol for a clinical trial with nutritional supplements in collaboration with principal investigators, data scientists, and other stakeholders.
3. Manage the operational aspects of clinical trials, including participant recruitment, enrollment, monitoring, and data collection.
4. Monitor trial progress, ensuring compliance with Good Clinical Practice (GCP) guidelines and study protocols.
5. Develop and implement strategies to maximize participant engagement, retention, and adherence to study protocols in a decentralized setting.
6. Lead the preparation of regulatory submissions, trial reports, and scientific publications.
7. Development and delivery of training materials for site staff and study team members.
8. Identify new research opportunities and grant applications.

Qualifications

1. A PhD or equivalent advanced degree in a relevant field (e.g., nutrition, public health, epidemiology, clinical research).
2. Experience in clinical trials, experience on decentralized trials is preferred but not essential.
3. Strong understanding of GCP guidelines and other relevant regulatory requirements related to clinical trials.
4. Able to work independently, but also enjoying the work with the team members.
5. Strong attention to detail and ability to manage multiple projects simultaneously.
6. Good interpersonal skills with strong leadership attributes.
7. Good understanding of population nutrition especially micronutrient needs is preferred.
8. Desire to move the Geroscience and Healthy Longevity Medicine field forward and contributing to evidence based interventions.

Formal application

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

The Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, as Singapore’s national platform for drug discovery and development. We are committed to discover and develop novel therapeutics by working collaboratively with both public sector and industry partners to translate innovations from bench to clinic using industry relevant and cutting-edge technology platforms. This includes tackling complex and unmet medical challenges in disease areas such as oncology, fibrosis, infectious and autoimmune diseases. EDDC is now seeking under the IFP programme a highly skilled and motivated Bioinformatics Scientist/Engineer to join the Computational Biology group to drive data-driven discovery of therapeutic targets and clinically relevant biomarkers, achieving wholistic understanding of human disease biology and pathology.

This is an eighteen months on-the-job training programme that requires participation in and supporting cross-functional and collaborative drug discovery projects. By joining EDDC, the IFP candidate will be part of a dynamic, interdisciplinary team geared to enhance and facilitate the drug discovery journey through data harmonization and deconvolution, multimodal data analytics, and advanced machine learning. The role will also leverage strategic partnerships both locally and globally, to adopt a flexible approach in refining and advancing EDDC’s solutions.

Responsibilities:

1. Multimodal data analytics for target, biomarker discovery and MoA elucidation

o Develop and implement computational strategies for integrated analysis across diverse biological datasets, including but not limited to genetics/genomics, transcriptomics (bulk- and single-cell RNAseq) and proteomics data.o Employ state-of-the-art machine learning and AI techniques to uncover patterns in extensive biological datasets, developing predictive models that inform therapeutic strategies.o Collaborate with cross-functional colleagues to drive the data-driven discovery and prioritization of novel therapeutic targets and clinically relevant biomarkers, integrating advanced analytics to elucidate the molecular mechanisms of action.

2. Data Integration and automation

o Evaluate and harmonize multi-dimensional data to ensure data quality and consistency.

o Architect and manage databases for cross-functional biological data from public and proprietary sources.

o Optimise and automate workflows when applicable, streamline data access for researchers to facilitate high-throughput analysis and collaborative research efforts.

3. Collaborative Research and strategic partnerships

o Work closely with experimental biologists, chemists, and other computational biologists to design experiments, analyse results, and communicate findings in scientific reports and presentations.

o Establish and maintain partnerships with leading computational biology, data science, and AI entities both locally and globally, serving as the computational biology liaison to ensure effective communication and alignment of objectives between external partners and EDDC’s internal project teams.

4. Innovation and Continuous Learning

o Stay abreast of the latest developments in bioinformatics, data science, machine learning, and AI as they pertain to drug discovery and development.

o Implement new technologies and methodologies to refine in-house workflows and enhance EDDC’s computational platforms.

Requirements:

• PhD in Computational Biology, Bioinformatics, Computer Science, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. Minimally 2 years of postdoc experience or equivalent in industry settings.
• Applicants with suitable aptitude, potential and interest in harnessing big-data and advanced analytics for enhancing and accelerating drug discovery.
• Demonstrated experience in multi-omics data analysis (eg. genetics/genomics, bulk and single-cell transcriptomics, proteomics, etc.) and the application of machine learning in biological research.
• Proficiency in software engineering and programming languages such as Python and R, and familiarity with data engineering techniques including cloud-based and on-premises database services, database management systems, APIs and workflow development frameworks.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.
• Keen to learn new techniques and adaptable to changing priorities.
• Proficiency in machine learning and AI methodologies for analysing large-scale biological data, with a proven track record of developing predictive models to guide therapeutic development and strategy is an advantage.
• Industry experience in pharmaceutical or biotech companies is an advantage.

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.

Timing/Shifts: Mon - Fri

(Part-time: 12.30pm to 4.30pm) or (Part-time: 5.30pm to 9.30pm) Able to choose 1 time slot and will be fixed permanently

Location: City Hall

Salary: $1,100 (Afternoon Shift) / $1,600 (Evening Shift) - Fixed Salary for different shifts

RESPONSIBILITIES

The Research Interviewer is responsible for collecting data by conducting structured surveys over the telephone and entering the responses into computer systems. No marketing or selling is involved. The part-time research interviewers will be required to work on a four-hours shift Between 12.30pm to 4.30pm or 5.30pm to 9.30pm Monday to Friday.

REQUIREMENTS

• Minimum GCE ‘O’ levels
• Prior call center or telephone interviewing experience preferred
• Proficiency with computers and software
• Comfortable in managing repetitive task

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

The Supreme HR Advisory Pte. Ltd || 14C7279

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Subhroshekhar Ghosh on mathematics of data under a project on Complex structures in Statistical Physics and the Math of Data and Stochastic models with latent symmetries.

The main responsibilities of the position include conducting research.

Qualifications

Qualifications / Discipline: Master’s degree in Mathematics with an emphasis on probability, combinatorics, statistics and machine learning

Skills: Coding skills in R, Strong theoretical and theorem proving abilities and should be familiar with ideas and techniques for mathematical modelling of real world phenomena

Experience: Prior experience with research, including demonstrable completed research projects

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 the financial sector, particularly in the area of quantitative analysis. The responsibilities of the role will include designing and developing smart databases of various unstructured and non-traditional information related to corporate environmental and social impacts.

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 collection and storage framework
• Plan and perform the collection of information from various alternative, non-traditional data sources, along with commercial databases
• Plan and perform quantitative analyses of various corporate disclosure reports and regulatory frameworks, including textual and graphical analysis.
• Plan and perform the development of databases that can be used by researchers throughout the Institute, with accessible interface for external users
• 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 the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• For Research Fellow position: guide, mentor, and supervise research analysts and 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 quantitative analysis is highly preferred.
• Quantitative and programming skills, including knowledge of textual and graphical analyses, are highly desired.
• Database design and management experience is highly 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

Responsibilities:

· Data Analysis: Utilize advanced R/Stata/Python programming to perform statistical analysis and data manipulation, aiming to extract meaningful insights and trends that support investment strategies or identify promising markets or sectors.

· Dashboard Development & Data Visualization: Leverage data visualization tools such as PowerBI and ESRI to design and implement insightful dashboards, providing valuable observations and informing decision-making processes.

· Market Research & Strategy: Gather and analyze regional/local economic and real estate market data to monitor trends and generate forward-looking insights.

· Report Writing & Presentation: Craft detailed reports and market debriefs to communicate views on real estate fundamentals and potential returns across the region. Develop research papers and presentations for client and public consumption, building and molding AEW Research’s brand presence.

· Investment Strategy Development: Assist in formulating investment strategy recommendations, assessing portfolio risk, and partake in setting investment objectives to ensure alignment with organizational goals.

Qualifications:

• Ideally 2 to 4 years of relevant work experience, but open to fresh graduates as well

• Strong quantitative skills and proficiency in statistical/data analytics software

• Ability to handle statistical analysis and manipulate large data sets

• Strong verbal and written communication proficiency

• Familiarity with real estate markets is preferable but not mandatory

• Bachelor's degree in economics, finance, computer science or related field

Academic Head (Math and/or Science)

Location: Run different branches (Thomson Plaza [HQ], Tampines, Punggol, Parkway, Bukit Timah)

Working days: 5 days (Tuesday to Saturday)
Working time: 2 weekdays (10am – 7pm) ; 2 weeknights (12.30pm – 9.30pm) ; Weekend (8am - 6pm)
Salary: $5000 - $7000
Reporting to: Business Owners

Position Summary

• To plan, lead, organise and oversee the teaching and classroom delivery to achieve desired learning outcomes, and organise corporate activities that contribute to the success of the organization and increase customer engagement.
• To set the framework for the centre’s curriculum and pedagogy, ensuring that it is in alignment with MOE guidelines, the centre’s values to create an enriching and effective learning experience for Learning Point students.

Job responsibilities:

1. To monitor and ensure lessons are delivered according to expected standards and desired outcomes through regular class observations and regular trainings or workshops conducted for teachers and associate teachers (Eg. Value-added marking workshops, classroom management, parents management etc
2. To maintain close communications with parents through meet parents meetings, workshops for parents and other written correspondence, eg. newsletters
3. To conduct regular review sessions with staff team to appraise and feedback on work performance and approval of leave teachers.
4. To provide leadership to lead curriculum innovation, curriculum planning, curriculum design and research.
5. To stay current with curricular trends and changes in Singapore and to ensure changes in MOE guidelines are integrated promptly into the centre’s curriculum.
6. To plan, research and create innovative programme/materials that are in alignment with MOE guidelines and create an enriching experience for the centre’s students
7. Collaborate with the marketing manager to provide contents to develop marketing materials to promote a strong and unique branding of the centre’s programme
8. To actively scan the internal and external environments to identify potential problems and opportunities which can be addressed or capitalised to maximise the students’ learning experiences.
9. To shape a culture of high competence, commitment and connectivity
10. Any other duties may be assigned from time to time

Requirements:

• Minimum 3 years managing a team of teachers
• Minimum 5 years teaching
• Comfortable to travel to all branches. (Thomson Plaza [HQ] for non teaching day, teaching days will be assign to Tampines, Punggol, Parkway, Bukit Timah), no fixed location.

WhatsApp: https://wa.me/6596112291 (Kyra)

Email: [email protected]