Key role in formulating market insights and forecasts for the Group

An opportunity to influence decisions globally

Based in Singapore

As part of the team, you will play a crucial role in forecasting and analyzing key supply and demand developments to forecast drybulk markets. You will generate market insights and outlooks by closely analyzing data related to drybulk freight supply and demand. You will collaborate with our global trading team to drive strategic decisions.

The role demands a keen ability to navigate and interpret complex market dynamics.

The primary challenge lies in accurately forecasting supply and demand amidst fluctuating market conditions, policy changes, and global economic shifts. This requires not only strong analytical skills and attention to detail but also the ability to synthesize vast amounts of data into actionable insights. Effective communication and collaboration with local and global teams are essential to ensure timely and strategic decision-making in a highly competitive market.

This role will mainly interact with traders, including operations team on key projects.

You will be working in a fast-paced environment with tight deadlines.

Main Responsibilities:

Data Management & Forecasting:

Maintain up-to-date and accurate supply and demand (SnD) data for drybulk freight, reflecting current market conditions. Compile and update all relevant data and forecast components to anticipate market trends.

Market Analysis:

Stay informed on market trends, policies, and currency fluctuations affecting drybulk freight supply and demand. Transform this information into actionable market insights and adjust SnD outlooks accordingly.

Global Coordination:

Monitor global drybulk freight and demand.

Coordinate with team members to ensure accurate adjustments for specific products.

Communication & Reporting:

Effectively communicate key changes in drybulk freight supply and demand to commercial teams.

Synthesize and present insights to help stakeholders understand market dynamics and swing factors.

Quantitative Modeling:

Collaborate to enhance drybulk freight data analytics and processes.

Contribute to the development of new models and approaches to improve internal knowledge.

Minimum Requirements:

Bachelor's Degree in Marine, Trade or related field of study

Minimum 6 years of relevant experience within a commodity/ marine-focused MNC.

Managing, maintaining, and redesigning complex Excel models.

A strong industry network, as well as maintaining and expanding such, is essential for the success of this position.

Automated data visualization reports in Power BI.

Exposure to the trading environment.

Excellent verbal and written communication skills (English) are essential.

Genuine interest in global economics and commodities markets

Ability to manage data and summarize large quantities of data into key/actionable insights

Ability to analyze trends, data, and numbers to draw meaningful conclusions and write comprehensive reports

Know how to communicate/explain complex ideas in a simple way

Experience working with commercial teams to design trading strategies is a plus

Ability to work with teams in different geographical locations

Highly organized and detail-oriented, with an attentive approach to analysis to ensure accurate assumptions and conclusions

Ability to understand business needs & potential issues and propose innovative ideas/solutions

Good time management skills and ability to manage multiple tasks and meet deadlines

Interpersonal skills, ability to forge relationships with colleagues and external contacts

Self-motivated & problem-solver individual

Technical Skills:

Proficiency in Excel

Experience with BI tools for analytics

Strong statistical and analytical skills, with a solid understanding of data management best practices

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This position focuses on investigating the mechanism of pipeline leakage induced ground deformation under heavy rainfall and proposing intelligent control methods.

The scope also requires the selected Research Engineer to

• Investigate the mechanism of pipeline leakage induced ground responses under heavy rainfall.
• Propose intelligent control method for preventing sinkholes.

Job Requirements

• Possess at least a bachelor/master’s degree in relevant field,
• Demonstrate a research or professional background aligned with the development of the physical model.
• Exhibit proficiency in coupled multi-physics modelling.
• Display strong teamwork capabilities and effective communication skills.
• Open to fixed-term contract
• Please note that only shortlisted candidates will be contacted.

Duration: 1 year

Location: Pioneer

Working Hours: Monday - Thursday 830am to 545pm; Friday 830am to 515pm

Responsibilities:

• Assist the Manager (Research) in overseeing research projects and grants, including budget management, allocation of student assistants, and processing payments.
• Ensure all research projects comply with regulatory and funding agency requirements.
• Work closely with the Manager (Research), faculty members, and other departments to ensure effective project management and successful completion.
• Process grant administration requests, track changes and expenses, and maintain project reconciliation spreadsheets.
• Develop and maintain strong relationships with funding agencies and external partners.
• Prepare progress reports, final reports, and other documentation required by funding agencies.
• Compile, maintain, and manage records and filing systems for research grants.
• Update standard operating procedures (SOPs) to reflect changes in regulatory requirements and best practices.
• Provide administrative support to the Associate Chair of Research, including scheduling appointments, managing calendars, and organizing meetings.
• Assist in preparing presentations, reports, and other materials for meetings and presentations.
• Perform other administrative tasks as assigned by the Manager (Research) and Associate Chair of Research.

Requirements:

• Master or Bachelor’s degree, preferably with a minimum of 3 years of experience in research administration, including budget and grant management.
• At least 3 years of experience in research administration and providing executive-level administrative support.
• Proficiency in MS Office Suite and other automation software.
• Excellent communication skills with the ability to work effectively with a diverse range of stakeholders.
• Highly organized and meticulous, with strong attention to detail.
• Capable of prioritizing tasks effectively and managing multiple responsibilities simultaneously.

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.

Should you be interested in this position, please contact Mandy at 9640 2934 your resume directly for fast respond.

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

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

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

Training provided. Must be willing to learn for inexperience.

job includes: filing, invoicing, prepare payment voucher, manage the office.

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 (NUS) Yong Loo Lin School of Medicine is recruiting talented scholars at multiple levels: Post-doctoral Fellows, Senior Research Fellows and Research Scientists to work in the Global Centre of Asian Women’s Health (www.glownus.org) and the NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality (www.acrle.com). Our interdisciplinary program is designed to provide experiences that foster scholars’ professional development by working closely with national and international experts, and equip them with independent research skills in multi-disciplinary areas, such as nutrition, reproductive health, maternal and child health, endocrinology, behaviour intervention, biostatistics and epidemiology.

Successful candidates are expected to 1) conduct original research for publications based on data from several large cohort studies in the United States and in Singapore, such as the U.S. National Institute of Child and Human Development (NICHD) Fetal Growth Studies, Diabetes & Women’s Health Study (www.dwhstudy.org), Growing Up in Singapore Towards healthy Outcomes (GUSTO), and the Singapore Preconception Study of Long-Term Maternal and Child Outcomes (S_PRESTO); 2) present at scientific conferences; 3) contribute to competitive grant applications; and 4) mentor junior researchers within a multi-disciplinary research team. Successful candidates will also have the opportunity to develop their independent research initiatives using the wealth of data from the school and collaborative national and international institutes.

Qualifications

Candidates with a doctoral degree in epidemiology, nutrition, or a closely related field, or those with a medical degree with some experience or advanced graduate training in epidemiology, population health, or biostatistics are invited to apply. Preference will be given to candidates with strong research experience in any of, but not limited to, the following areas.

• Diabetes, obesity, and cardiometabolic health
• Nutrition, lifestyle and mental wellness
• Omics research, especially on metabolomics and microbiome
• Behavior intervention
• Reproductive health, maternal and child health
• Aging and neuro-cognitive function
• Women’s health
• Developmental origins of disease
• Epidemiological methods

Skills

Preference will also be given to candidates with

• Strong analytical or quantitative skills
• Good track record of publications in peer-reviewed journals
• Excellent communication skills in English
• Experience in statistical software (e.g., STATA, SAS, R)
• Experience in grant/proposal writing

The position provides health insurance. The salary is commensurate with training and relevant research experience. Multiple positions are available and will remain open until qualified applicants are found. First round of application review will start on November 1st, 2023.

Application

Applicants should email: 1) a curriculum vitae; 2) a statement of research interests; 3) three letters of reference; and 4) transcripts for undergraduate and graduate degrees. Note: Official transcripts may be requested if selected for an interview. Applicants need not have completed their doctoral training prior to applying, although training must be completed prior to the start of the position (in the email subject, please clearly state “Application-research fellow/scientist”)

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

Are you a biomedical researcher motivated to pursue an outstanding career in cancer research with a focus on structural biology?

Cancer will affect more than 1 in 3 Singaporeans. At the Cancer Science Institute (CSI), our mission is to be at the global forefront of research to overcome this scourge. Our innovative international faculty, cutting-edge facilities, supportive working environment and competitive package together enable each of our staff to realize their maximum potential.

We now seek a Research Scientist/ Senior Research Scientist to join the team of Prof. Ashok Venkitaraman. This is an exciting opportunity to work closely with a world-leading cancer researcher to undertake pioneering research on the role of genome instability in human carcinogenesis (eg., see Venkitaraman Science (2014) PMID:24675954 and Venkitaraman DNA Repair (2019) PMID:31337537).

Please refer to https://csi.nus.edu.sg/researcher/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

For this position, we would require a post-doctoral fellow to engage in designing and running of multiple CRISPR genome screens, to interrogate and identify genes that are responsible for a host of different genome instability phenomenon uncovered in our lab in human carcinogenesis

We are looking for highly motivated individuals with the ability to work in a team environment. Genuine enthusiasm for science, willingness to think beyond established concepts and to try and learn new experimental and analysis tools.

Duties And Responsibilities

Laboratory skills:

• Required experience with CRISPR gene editing and screens
• Required experience with mammalian cell culture
• Required experience with molecular cloning and biochemical analyses (qPCR, Western, co-IP, etc.)
• Good to have experience in high-throughput sequencing and data analysis (RNAseq etc.)

Qualifications

• PhD in biology or related fields
• Strong track record of research achievement evidenced by high-quality publications in a relevant field
• High-level experience in hands-on use of a wide range of relevant research methods
• Skills in working independently and creatively to solve experimental problems
• Effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports.

Job Title: Research Fellow/AI Informatician

Job Type: Contract

Job Location: West, Singapore

Job Description:

• Successful candidate will participate in integrative translational research focusing on AI, immunology, immunopathology and immune-imaging.
• He/She will actively support and drive multi-disciplinary research and development projects, and assist in laboratory maintenance duties.

JOB REQUIREMENT

• Possess a Master degree in Biomedical Sciences/Biological Sciences/Life Sciences or relevant fields such as informatics or/and AI.
• Strong programming skills in Python.
• Experience with deep learning frameworks (e.g., PyTorch and TensorFlow) and/or image processing and computer vision (e.g., OpenCV, scikit-image, Kornia).
• Capable in analysing the immunology/ bioinformatic/ imaging/ sequencing big data.
• Experience in analysing data from routine laboratory techniques, including mammalian cell culture, FACS, histology (IHC, multiplex-IHC), etc.
• Sound knowledge in tumour biology, immunology, histology and good basic laboratory skills
• Strong desire to learn in a dynamic multi-disciplinary research environment
• Highly motivated, committed, and have passion for research
• Excellent team player, proactive and able to work independently
• Proficiency in project management and multitasking, strive under pressure
• Meticulous, good analytical, technical and problem solving skills
• Great interpersonal, communication and organizational skills.

This is an outsourced role.

If you are looking for an opportunity and your skills align with this job, please send your updated CV/resume (in Word format) to Mounika at [email protected].

Mounika Tanuku

EA Regn. No. R22109193

EA Licence No. 93C4403

You will play a pivotal role in the Heart Protection theme of the National Heart Research Institute of Singapore (NHRIS) at the National Heart Centre of Singapore (NHCS). Your responsibilities will include:

· Leading, executing and managing a public-private partnership programme.

· Initiating and coordinating key processes of the programme in collaboration with Principal Investigators.

· Providing valuable intellectual contributions and strategic insights for the overall programme and its projects.

· Engaging and managing key stakeholders, both internal and external, across hospitals, research institutions, and industry partners.

· Overseeing administrative tasks such as facilitating meetings, managing agreements, generating reports, and budgeting to ensure the smooth operation of the programme

Job Requirements

- Degree in Science, Health Science or its equivalent with a strong background in molecular and cell biology

- Minimum 1 - 2 years’ relevant work experience in healthcare or research setting

- Experience in managing budgets and supervising junior staff

- Relevant project management certification and familiarity with A*STAR reporting requirements would be an advantage

- Demonstrated project management experience, preferably in laboratory and finance management

- Experience in preparing and submitting grant proposals, including knowledge of grant variations, submissions, and reporting

- Able to work independently, coupled with effective problem-solving and organisational skills

- A capable leader who can guide the team, monitor progress, supervise, and manage collaborative research activities

The Delta-NTU Corporate Laboratory for Advanced Robotics was jointly established by Nanyang Technological University (NTU) and Delta Electronics in June 2016, supported by A*STAR. The Lab aims to create business value through collaborative commercialization of translational research and technology development. This is a Phase 2 project.

Key Responsibilities:

• Work on a project to conduct the research on the development of Three-dimensional Simultaneous Localization and Mapping (3D-SLAM).
• Literature review of 3D-SLAM
• Simulations of a SLAM algorithm in an edge hardware platform with limited computation complexity
• Machine learning algorithms for data fusion
• Write papers on the research done during this project.

Job Requirements:

• Master degree in Electrical and Electronic Engineering from a reputable university
• Working experience in related areas
• Knowledge and experience in machine learning and robotics
• Knowledge and experience in signal processing, and robot navigation
• Good publication track record in related areas
• Proficiency in basics of programming languages such as C, Java, Matlab and Python
• Proficiency in English, both spoken and written - for research purposes

We regret that only shortlisted candidates will be notified.

You will play a pivotal role in the Heart Protection theme of the National Heart Research Institute of Singapore (NHRIS) at the National Heart Centre of Singapore (NHCS). Your responsibilities will include:

· Leading, executing and managing a public-private partnership programme.

· Initiating and coordinating key processes of the programme in collaboration with Principal Investigators.

· Providing valuable intellectual contributions and strategic insights for the overall programme and its projects.

· Engaging and managing key stakeholders, both internal and external, across hospitals, research institutions, and industry partners.

· Overseeing administrative tasks such as facilitating meetings, managing agreements, generating reports, and budgeting to ensure the smooth operation of the programme

Job Requirements

- Degree in Science, Health Science or its equivalent with a strong background in molecular and cell biology

- Minimum 1 - 2 years’ relevant work experience in healthcare or research setting

- Experience in managing budgets and supervising junior staff

- Relevant project management certification and familiarity with A*STAR reporting requirements would be an advantage

- Demonstrated project management experience, preferably in laboratory and finance management

- Experience in preparing and submitting grant proposals, including knowledge of grant variations, submissions, and reporting

- Able to work independently, coupled with effective problem-solving and organisational skills

- A capable leader who can guide the team, monitor progress, supervise, and manage collaborative research activities

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on analyzing and improving the quality of the LLM generated code. Successful candidate will be part of an active research team led by Prof Sun Jun from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Survey existing approaches on evaluating and improving the quality of LLM generated code
• Evaluate the quality of LLM generated code objectively using multiple metrics, particularly regarding soundness
• Propose approaches for improving the code generation based on consistency
• Implement the proposed approach and experiment it with state-of-the-art LLMs
• Evaluate the effectiveness of the proposed approach and write a paper

• PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 4 years of relevant research experience in program analysis
• Basic knowledge/Proficiency in programming software/languages such as Python and Java will be positively considered/ is required
• Demonstrated experience and know-how on LLMs
• Experience with at least one programming software/language, such as Python is preferred
• Excellent working knowledge of AI and Machine Learning
• Good analytical, technical and problem-solving skills
• Applicants with research publications in the area of formal methods, software engineering, cyber-security and LLM area will be advantageous
• Self-motivated individuals who can work independently and collaboratively with team members

#LI-JN2

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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 appointee is expected to work in Professor LAIN JONG Li’s research group and participate in a large-scale collaborative research with other groups in the University.
• The main research focus is to develop advanced electronics devices based on 2D semiconducting and insulating materials. The capability to initiate collaborative projects with researchers all over the world will be an advantage.
• The appointee may need to contribute to the teaching of courses in Materials Science and Engineering.
• The candidate is also expected to apply for research funding and supervise research postgraduate students.

Qualifications

• Applicants should possess a relevant PhD degree in Electronics Engineering or a related field with 3 or more years’ postdoctoral research experience
• Prior publication track records in electronic devices and low-dimensional materials will be a must.

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:

Introduction

The National University of Singapore Centre for Trusted Internet and Community (CTIC) is dedicated to the inter-disciplinary study of the Internet and its implications on the society of the future. The first-of-its-kind centre will integrate social and behavioural science research, digital technologies, data-driven approaches, and policy studies to holistically examine the Internet and its societal impact including topics such as the future of privacy, freedom of expression, misinformation and disinformation, as well as maintaining social security and stability.

This is an exciting opportunity to join us as a Research Fellow in Communication, Journalism, and Related programs under a new programme titled “Digital Information Resilience: Restoring Trust and Nudging Behaviours in Digitalisation”.

Job Description

As a Research Fellow in Communication, Journalism, and Related programs with CTIC, you have demonstrated prior research experience, so you will be tasked with supporting the planning and execution of a research project under the CTIC Digital Resilience research grant. You will work closely with the Principal Investigator on a research problem related to news on social media.
RAs with a communication research background will be tasked to focus on human evaluation and news consumption (Communication research).
Ras with a computer science or related background will be tasked to focus on natural language processing and generation (NLProc, Large Language Models or LLMs, Computational Linguistics).
You will be handling and contributing to research and innovative findings in a team, leading to publications in top-tier conferences/journals as well as exciting real-world implementations. The level of responsibility and independence entrusted would be commensurate with prior experience and academic qualifications.

Job Responsibilities

As a Research Fellow with CTIC, you will have the following duties:

Research:
• Plan and lead literature review efforts
• Plan and draft submissions for conferences and journals based on findings.
• Plan and write op-eds for university blogs and popular media.
• Comm Research RAs:
o Plan and conduct experiments on human perception and consumption of online news.
o Collect data and analyze it using tools like SPSS, R, and Excel
• CS Research RAs:
o Plan and conduct experiments on the modeling of different facets of news and news quality
o Train models, finetune LLMs, collect data and analyze it
• Write op-eds for university blogs and popular media.

Coordination:
• Plan and oversee participant recruitment and logistics for survey experiments
• Plan, manage and maintain IRB documentation.

Each research paper will have the following phases to it:
• Phase 1 – Literature reviews
• Phase 2 – CS research design, or Social Science research design, including IRB applications.
• Phase 3 – Data collection and pre-processing.
• Phase 4 – Data analysis and result tabulation.
• Phase 5 – Research communication and writing of papers.

Qualifications

• Minimum Master’s Degree in Computer Science or Communications (or in any other closely-related field).
• Minimum 2 years of relevant research experience with publications, in one or more of the following areas:
o Experience required for Computer Science degree holders
- Natural language processing, machine learning and/or knowledge representation and reasoning.
- Prior first- or second-author publications and/or technical reports or theses
o Experience required for Communications degree holders
- Advanced statistical tests (e.g. moderation/ mediation, hierarchical regression etc.)
- Running standard statistical tests (e.g., using SPSS or SATS or R, for regression, ANOVA, etc.)
- Prior first- or second-author publications and/or technical reports or theses

• A good team player with effective communication skills and the ability to work closely with faculty, staff, students and external collaborators.
• Excellent written and verbal communication skills.

• Proactive problem-solving skills and a forward-thinking approach.

• Demonstrated ability to manage time and data efficiently.

• Proven track record of consistently meeting deadlines and following up on tasks.

Please note that only shortlisted candidates will be notified.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• At least 5 years of relevant experience
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

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.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

Job Title: R&D Engineer - Electrolyte (Battery Material Research Division)

Location: NTU-Durapower Advance Lithium Battery Joint Lab #02-01, 1 Cleantech Loop, Singapore 637141

Overview:

We are seeking dedicated R&D Engineers specializing in electrolyte development to join our dynamic Battery Material Research Division. This role focuses on advancing high silicon-based projects, optimizing electrolytes for high-voltage, high-power, and high-safety applications, particularly in the realm of solid-state battery technology.

Key Responsibilities:

· Electrolyte Formulation: Lead and contribute to the development and optimization of electrolyte formulations tailored for high silicon-based battery projects, emphasizing enhanced performance, safety, and stability.

· Integration of Silicon Anodes: Collaborate within multidisciplinary teams to effectively integrate high-capacity silicon anodes into battery systems, addressing challenges related to volume expansion, cycling stability, and interface engineering.

· Experimental Design and Analysis: Design and execute experiments using coin and pouch cell configurations to evaluate and iterate on electrolyte performance. Analyze data to inform the enhancement of battery characteristics.

· Collaborative Research Initiatives: Work closely with cross-functional teams, including materials scientists, physicists, and mechanical engineers, to drive innovation in battery technology. Contribute actively to the advancement of solid-state battery research.

· Documentation and Reporting: Maintain meticulous records of experimental procedures, results, and analysis. Prepare technical reports and presentations contributing to scientific publications or patents.

Requirements:

· Bachelor's degree or higher in Material Science, Physics, Mechanical Engineering, or related fields.

· Proficiency in electrolyte chemistry and its significance in battery performance.

· Strong grasp of battery materials, with a focus on high silicon-based projects.

· Prior experience or demonstrable skills in experimental design and hands-on work with coin or pouch cell fabrication and testing.

Preferred Skills:

· Prior exposure in Project & R&D laboratory setting

· Experience or exposure to solid-state battery technology and solid electrolytes.

· Familiarity with software tools for data analysis and simulation in battery research.

· Any prior experience in industrial R&D, especially in battery or energy storage-related projects, would be advantageous.

· Knowledge or exposure to characterization techniques (e.g., impedance spectroscopy, SEM, TEM, X-ray techniques) is advantageous but not mandatory.

This role offers an exciting opportunity to contribute to cutting-edge research in battery materials, particularly in harnessing the potential of high silicon-based projects and advancing the development of next-generation solid-state batteries. Join us in shaping the future of energy storage technology!

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

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

• Catalysts Synthesis
• Single Atom Catalysis
• Laser Scanning Ablation
• Polymer Synthesis
• Biomaterials Synthesis and Degradation
• Recycling and upcycling of polymers
• Mentor PhD students
• Draft grant proposals
• Oversee lab safety

Job Requirements

• PhD degree in chemistry, materials science and engineering, or chemical engineering.
• Ample research experience in catalyst design and synthesis (particularly single atom catalysts and metal oxide catalysts), high entropy nanomaterials
• Ample research experience in polymer synthesis (particularly ATRP, RAFT and ROMP), biomaterials synthesis, and recycling and upcycling of polymers and biomaterials
• Solid background/experience in polymeric materials and polymer recycling and upcycling.
• Excellent communication and writing skills
• Strong publication record
• Prior undergraduate and master students mentoring experience

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

We regret that only shortlisted candidates will be notified.

We are seeking a highly motivated and skilled Bioinformatician to join our team. As a new team working at the intersection of synthetic biology, genomics and machine learning, we seek to develop innovative approaches in advancing the field of bioinformatics and protein structure using large language models. The ideal candidate will have a strong background in computational biology, programming, and a keen interest in protein structure and language models. If you are passionate about unraveling the mysteries of biological systems using computational methods, we encourage you to apply.

Job Responsibilities:

• Develop and implement state-of-the-art algorithms and models for protein structure prediction and analysis.
• Utilize deep learning frameworks such as PyTorch and TensorFlow to design and train novel protein language models.
• Collaborate with interdisciplinary teams to integrate bioinformatics methods into biological research projects.
• Analyze and interpret high-throughput biological data, including next-generation sequencing and structural biology data.
• Contribute to the development of software tools and pipelines for protein structure prediction and analysis.
• Stay updated with the latest advancements in bioinformatics, machine learning, and protein structure prediction methods.

Job Requirements:

• Bachelor/Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch and TensorFlow.
• Proficiency in molecular visualization software, preferably PyMOL, for protein structure analysis.
• Demonstrated interest in protein structure and protein language models, with a focus on applying computational methods to solve biological problems.
• Familiarity with natural language processing and language models is a significant advantage.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team-oriented environment.
• Effective communication skills and the ability to present complex findings to both technical and non-technical audiences.
• Previous research experience in bioinformatics, computational biology, or related fields is highly desirable.

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:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Information Systems and Analytics, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in the area of emerging technologies for healthcare.

Key responsibilities:

• Familiarize with the research objectives and methodologies
• Conduct an in-depth literature review to identify gaps and opportunities in related work
• Initiate data collection and preprocessing for large-scale datasets from diverse domains
• Design, implement, and validate advanced models to address core research questions
• Develop initial drafts of research manuscripts based on findings

Qualifications

• A PhD degree in the relevant area (or be on track to acquiring one before starting as a Fellow)
• Have substantial experience in research.

Project Overview

We are seeking a Research Scientist to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

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

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

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

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

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.
• Publish research results in top-tier conferences and journals, and disseminate research findings through presentations and other means.
• Participate in the mentorship and training of graduate and undergraduate students at MIT and in Singapore.
• Assist in grant writing, project management, and other administrative duties related to research activities.

Requirements

-Ph.D. in Social Science (such as Psychology, Sociology, Political Science, and Economics), Computer Science (e.g., with a focus on Human-Computer Interaction), Management, Organizational Behavior, Philosophy, Journalism, or other related fields by the start of the appointment.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

-Strong publication record in top-tier conferences and journals.

-Familiarity with statistical data analysis tools and techniques.

-Excellent communication and collaboration skills.

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

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