Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world.


In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions. Our research and production implementations leverage many of the innovations being generated from Meta’s research in Distributed Computing, Artificial Intelligence and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project.


As a Research Scientist at Meta, you will bring experience working on a range of recommendation, classification, and optimization problems. You will have the ability to own the whole ML life-cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Responsibilities

• Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models
• Suggest, collect and synthesize requirements and create effective feature roadmap Build strong cross functional partnerships and code deliverables in tandem with the engineering team
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Perform specific responsibilities which vary by team

Minimum Qualifications

• Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Vision, Machine Learning or relevant technical field. Degree must be completed prior to joining Meta
• Programming experience in a relevant programming language
• Research and/or hands-on experience in one or more of the following areas: machine learning, NLP, recommendation systems, pattern recognition, data mining or artificial intelligence
• Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
• Proven experience to translate insights into business recommendations
• Experience with scripting languages such as Python, Javascript or Hack
• Experience building and shipping high quality work and achieving high reliability

Preferred Qualifications

• Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as ICML, NIPS, KDD or similar
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
• Interpersonal experience working and communicating cross functionally in a team environment
• Exposure to architectural patterns of large scale software applications
• PhD degree or research focused Master degree in ML areas

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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.

About Asian Institute of Digital Finance

The Asian Institute of Digital Finance (AIDF) is a university-level institute in NUS, jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a Fintech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future Fintech researchers and practitioners in Asia.

We invite applications for the position of Research Assistant who will be housed in the Department of Computer Science, School of Computing (SoC) under Principal Investigator, Professor Liang Zhenkai for research grant ref: NRF/UP#1, titled: “Security and identity management of digital infrastructure for FinTech services.”

We are 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 wellbeing 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.

Qualifications

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects under the NRF grant. He/she should possess experience or interest in at least one of the following research areas:

• Security
• Systems and Networking

Job requirements:

• Bachelor’s degree with at least 2 years’ relevant work experience;
• Programming skills in C/C++.
• Experience in research.
• Experiences with the following areas will be preferredProgram analysis
  System/OS kernel development
  Audit log analysis
  Trusted hardware programming
  

More Information

Location: Kent Ridge Campus

Organization: Asian Institute of Digital Finance

Department : FinTech Research

Employee Referral Eligible: No

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant at the Centre for Sleep & Cognition, Yong Loo Lin School of Medicine. The research will involve the development and application of machine learning algorithms to brain MRI data.

Purpose of the post

We seek an enthusiastic and self-motivated research assistant to join our team.

Main duties and responsibilities

The research assistant will be expected to develop and apply machine learning algorithms to brain MRI and other health data. The candidate will also provide support to other projects in the centre.

Qualifications

The applicant should:

1. Have an honors (first class or high distinction or equivalent) in the Bachelor of Engineering, Computer Science, Math or related STEM discipline.
2. Be able to work independently and in a team, have an investigative nature, attention to detail;
3. At least 3 years of research experience in python and deep learning of brain MRI data

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Yeo Boon Thye Thomas 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 to this job portal.

We regret that only shortlisted candidates will be notified.

The SLim Group is looking for a dedicated and highly motivated early-career scientist as a Research Associate (RA) who is interested in advancing the application of protein cages as MRI contrast agent in identifying atherosclerotic plaques. The RA will be an individual contributor who is a technical expert and will be working in a multi-disciplinary team involving bioengineer, materials scientist, biological scientist, and medical physicist.

Key Responsibilities:

• Setting up protocols for imaging and analyzing the protein cage within the plaques;
• Executing experiments to achieve the specific aims of the project;
• Presenting results in various meetings/forums;
• Preparing reports for submission to the funding agency;
• Liaising with other scientists in the team as well as in other groups to develop the required expertise;
• Advising final year project and/or interns in the project.

Job Requirements:

• Master’s in bioengineering or related fields
• Working knowledge in protein production using E. coli and purification using AKTA FPLC
• Working knowledge in basic molecular biology techniques and protein analytics
• Experienced in protein cage handling
• Highly preferred skills: familiarity with atherosclerosis, MR image processing
• Able to design and execute experiments with minimal instructions
• Good communication skills in both verbal and written forms
• Take initiatives and lead a project and ensure delivery of outcomes in a timely manner
• Team player who will take part in general lab activities

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 Department of Psychology, National University of Singapore (NUS), invites applications for the position of full-time research assistant to serve as study coordinator for a new project funded by the National Medical Research Council. The successful applicant is expected to commence duties at NUS from November 2024, or as soon as possible thereafter.

This position is connected specifically to a research project titled, "Predicting anhedonia using naturalistic and lab-based measures of reward." The projects are under the direction of Principal Investigator Assistant Professor Kean J. HSU (Department of Psychology).

Scope and responsibilities
The research assistant will provide support to the PI (Asst. Prof. Kean J. HSU) and other project team members on overall research administration for the project, including coordination of research staff and trainees based on a lab schedule, training and supervising new volunteer research assistants, screening, recruitment, scheduling, and retention of research participants, following up with participants regarding their online follow-up assessments up to six months post-baseline, tracking of overall research project progress, as well as running participants through in-lab study protocols. They will also be responsible for supporting IRB protocol modifications and compliance, managing data (including basic data analysis), and managing telegram project channel and project website. Based on their performance and skills demonstrated in this role, study coordinators may be invited to assist with manuscripts and earn co-authorship credit for their work. This position is ideal for individuals interested in graduate school for clinical psychology (whether local MA or international PhD).

If interested, please submit a cover letter that outlines your suitability to the role based on the job description and listed job skills, unofficial transcript, and resume/CV.

**Only shortlisted candidates will be contacted for interviews.

Qualifications

NECESSARY:
-Familiarity and interest in clinical psychology, behavioral medicine, or health science
-Detail oriented
-Organized
-Conscientious
-Able to problem solve and think critically when confronted with challenges or uncertainty
-Strong interpersonal skills
-Comfortable with technology and productivity software (e.g., Microsoft Office or equivalent)
-Driven/persistent

DESIRABLE (but not required for application):
-Prior volunteer/work experience in a research lab setting
-Interest in handling data analysis code (e.g., R)
-Prior experience working with individuals with mental health challenges

More Information

Location: NUS Kent Ridge Campus

Organization: National University of Singapore

Department : Psychology

Job title: AI Research Scientist

• Opportunity to be a part of a global Artificial Intelligence team!
• Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for four consecutive years (2020, 2021, 2022, 2023) as well as Great Place to Work-Certified™ company.
• Join the premier biopharmaceutical company that has been in Singapore for more than 25 years

What you will do

Responsibilities include, but are not limited to:

1. Perform research, assessments and technical evaluations of AI models, methods and frameworks to solve problems or derive benefit to company AI capabilities and generative AI program

2. Conduct feasibility studies and create working proof of concepts for use-cases by exploring applications of AI to internal problems and datasets to de-risk AI engineering delivery

3. Proactively scan and keep up to date with AI research

4. Support the creation of intellectual property

5. Develop and implement methodologies, benchmarks, toolkits for different AI approaches.

6. Collaborate with data science and AI community on joint projects and investigations

7. Work within an integrated manner with teams operating within agile frameworks

8. Assist in technical training and knowledge sharing

9. Senior members would have leadership of one or more AI domains and a small team of AI scientists and researchers, and be expected to play a role of active mentorship

Education Minimum Requirement:

• B.S. or M.S. in Artificial Intelligence, Machine Learning, Computer Science, or related field. PhD highly regarded but not necessary.

What you must have

To be successful in this role, you will have:

• At least 3 years of experience working with model training and deployment
• Proficiency in GenAI, deep learning, NLP, CV and ML frameworks, other AI disciplines regarded useful
• Hands-on code development experience and familiarity with the python scientific computing stacks
• Understanding of artificial intelligence research landscape and ability to review research publications
• Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity
• Experience developing algorithms in Python or C/C++. Knowledge of transformer-based models a plus
• Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, commercial and corporate functions highly regarded
• Bachelor's degree in a relevant technical field or equivalent practical experience. PhD in a related field or equivalent practical experience not essential but highly regarded

Required Skills:

Artificial Intelligence, AI Research, Natural Language Processing, Generative AI, Software Development, Machine Learning

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace

At Willet Partners, we redefine the standard in executive search, professional recruitment and talent advisory, offering a warm yet professional touch to both organisations and job-seekers. Employing a key account management model, our dedicated account managers – who are also industry specialists – are well-equipped to dive into the intricacies of your business.

Connecting Talents, Creating Futures

What you will be doing?

• You will be connecting with talents to present career opportunities that could be transformative and life changing. Helping them to land a role that could potentially be once in a lifetime.
• You will be responsible for data mining of talents profiles from tools such as LinkedIn

Attributes

• Resiliency – As it involves regular deadlines, you will need to handle a healthy level of stress and demonstrate resilience in meeting timelines.
• Curiosity – You should have a genuine interest in the industry and in understanding what people do for a living. Even better if you have a passion for gaining knowledge.
• Process oriented – You should values organisation and consistency, ensuring that tasks are completed in a structured, repeatable, and often optimized manner.
• Details oriented – You will need to exercise thoroughness, careful review and analysis of work to avoid mistakes and to ensure completeness and consistency.

About your reporting manager

• You will be reporting to a manager with strong logical thinking who values mentoring and providing constructive feedback. Her communication style is straightforward and direct.
• She has been working and recruiting for technology related business for quite some time.

Background

• At least a Diploma. Fresh graduates are welcome.
• Engineering or product talents who does not want to stay in software engineering or product development are welcome to apply. We welcome anyone who wants to have a career change, do note that you will need to start from scratch and be willing to learn.

Only shortlisted candidates will be notify. We regret to inform that we are able to sponsor any work visa at this moment.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for passionate and self-motivated postdoctoral research fellows to join our multidisciplinary team to work on the rational design of novel nanocatalysts and optical imaging for catalysis. The successful candidate will be expected to collaborate with a group of researchers from various disciplines and also assist the principal investigator in guiding junior researchers and graduate students as well as in managing project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/;https://www.mingzhaogroup.com/)

Qualifications

• PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields.
• Expertise in nanomaterials synthesis, electrocatalysis, and/or optical imaging
• Published in reputable international journals.
• Responsible and able to work independently.
• Good written and spoken communication.
• Good team player across multiple disciplines.
• < 5 years work experience after obtaining a PhD degree

Job title: AI Research Scientist

• Opportunity to be a part of a global Artificial Intelligence team!
• Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for four consecutive years (2020, 2021, 2022, 2023) as well as Great Place to Work-Certified™ company.
• Join the premier biopharmaceutical company that has been in Singapore for more than 25 years

What you will do

Responsibilities include, but are not limited to:

1. Perform research, assessments and technical evaluations of AI models, methods and frameworks to solve problems or derive benefit to company AI capabilities and generative AI program

2. Conduct feasibility studies and create working proof of concepts for use-cases by exploring applications of AI to internal problems and datasets to de-risk AI engineering delivery

3. Proactively scan and keep up to date with AI research

4. Support the creation of intellectual property

5. Develop and implement methodologies, benchmarks, toolkits for different AI approaches.

6. Collaborate with data science and AI community on joint projects and investigations

7. Work within an integrated manner with teams operating within agile frameworks

8. Assist in technical training and knowledge sharing

9. Senior members would have leadership of one or more AI domains and a small team of AI scientists and researchers, and be expected to play a role of active mentorship

Education Minimum Requirement:

• B.S. or M.S. in Artificial Intelligence, Machine Learning, Computer Science, or related field. PhD highly regarded but not necessary.

What you must have

To be successful in this role, you will have:

• Knowledge with model training and deployment
• Proficiency in GenAI, deep learning, NLP, CV and ML frameworks, other AI disciplines regarded useful
• Hands-on code development experience and familiarity with the python scientific computing stacks
• Understanding of artificial intelligence research landscape and ability to review research publications
• Ability to communicate and express technical viewpoints to senior stakeholders with succinctness and clarity
• Experience developing algorithms in Python or C/C++. Knowledge of transformer-based models a plus
• Domain knowledge in pharmaceutical business areas such as research, clinical, manufacturing, commercial and corporate functions highly regarded
• Bachelor's degree in a relevant technical field or equivalent practical experience. PhD in a related field or equivalent practical experience not essential but highly regarded

Required Skills:

Artificial Intelligence, AI Research, Natural Language Processing, Generative AI, Software Development, Machine Learning

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace

The incumbent will provide data management and executive support to the overall research agenda of PPIS. He/She will be involve in data collection (qualitative and quantitative), mining, transformation, validating and analysis from multiple sources for the purposes of mapping areas of growth in research and evidence based practices, evaluation and data storytelling. He/She will need to be familiar in the areas of social and family services and be expected to be familiar in writing and presentation of reports and research papers.

Responsibilities:

• Identify, collect, process, analyse and interpret primary and secondary data for organisational sensemaking
• Identify and document appropriate tools and method for data collection.
• Identify and analyse appropriate data sources, tools and techniques for data interpretation,analysis and results
• Identify appropriate research approaches, surveys and FGDs as needed.
• Conduct landscape study and analysis in line with PPIS area of interests largely in the field of Family Services, women and children
• Develop and roll out research proposals that would enhance PPIS thought leadership and mission
• Evaluate and track impact of research projects and programmes
• Prepare and present research and evaluation report
• Drive innovation to improve quality of research project and programmes
• Provide administrative and program support for various initiatives, including but not limited to the Professional Development Series and Practice Circle. This includes coordinating logistics, managing communications, tracking participation, and assisting in the planning and execution of events and activities related to these programs

Requirements:

• Degree/Professional Qualifications in the discipline of Data Science/Business Analytics/Social Sciences or related field
• Minimum 2 years of relevant social research and evaluation experiences
• Possess strategic and analytical abilities
• Posesss good interpersonal skills to forge collaborative relationships across a wide spectrum of stakeholders
• Familiarity with analytics tools or programming languages are an advantage
• Able to communicate, write and present well

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 staff would lead at least one project under supervision of the Principle Investigator (PI) and the scope of the project is on biomass valorization. The responsibilities will be as follow:

• To develop a well justified approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff.
• To execute the plan experimentally and interpret the data critically.
• To report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge.
• To draft manuscripts and attend conferences to publicize the project findings.
• To support other team members and train junior colleagues. The staff will need to draft research proposal together with the PI.

Job Requirements

A well-qualified candidate should:

(1) be passionate about research;
(2) have a Phd degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;
(3) be an expert of chemical conversion of natural and synthetic polymers;
(4) command both spoken and written English at professional level;
(5) be a good team player;
(6) excellent publication record in related areas.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Medicine at the National University of Singapore (NUS) is seeking candidates to apply for the role of Senior Research Fellow within its Cardiovascular-Metabolic Translational Research Programme.

The selected candidate will be offered a contract position for a duration of one to two years, with an opportunity for renewal based on performance and funding availability.

Purpose of the post

The Senior Research Fellow (SRF) will work closely with the Principal Investigator (Professor Shu Ye) to engage in research into molecular mechanisms of cardiovascular diseases, prepare impactful papers for publication in top-tier scientific journals; and obtain competitive funding for the research programme.

Main duties and responsibilities

The Senior Research Fellow will be able to:

1. conduct research in Cardiovascular-Metabolic Translational Research Programme (CVMD) under the supervision the Principal Investigator Professor Shu Ye to investigate the influences of genetic variants on cardiovascular diseases and the underlying mechanisms, using a variety of molecular biology, cell biology, and histological techniques and animal models;
2. develop and implement research projects, including study design, data collection, analysis, and interpretation;
3. publish research findings in high impact peer-reviewed journals and present at academic conferences and seminars;
4. contribute to the development of grant proposals to secure funding for research projects;
5. assist in the supervision and mentorship of honor and graduate students involved in research activities;
6. contribute to the dissemination of research findings to the broader community through outreach activities, including public lectures or community engagement initiatives;
7. participate in departmental meetings, research seminars, and other academic activities to contribute to the scholarly environment of CVMD.
8. To participate in general laboratory activities related to the research and carry out allocated duties for the laboratory.

Qualifications

The applicant should have:

1. a doctoral degree (Ph.D. or equivalent) in Biomedical Research or a related field from an accredited institution;
2. a strong background and expertise in/or biomedical health-related research, preferably in cardiovascular research;
3. a track record of scholarly productivity, including publications in reputable peer-reviewed journals;
4. experience in quantitative and qualitative research methodologies;
5. ability to work independently as well as collaboratively within a multidisciplinary team environment;
6. excellent written and verbal communication skills;
7. prior experience in grant writing (securing external funding is an advantage);
8. Experience in leading a research team of research students and research assistants.

More Information

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

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 Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is looking to recruit a Research Engineer to work on a research project developing an application solution for structural BIM submissions. This project aims to develop a solution that automatically checks the compliance of structural BIM submissions against existing Singapore design codes.

The candidate is expected to work on designing the overall system, liaising with vendors, lead a team of interns, and developing advanced techniques to support the system.

Job Requirements

• Possess a recognised bachelor’s in engineering, or related field from a reputable university.
• At least a post-graduate diploma or degree in computing or related fields.
• At least one year’s experience in a software development role.
• Experience with using AWS Services, specifically AWS Amplify, Amazon S3, AWS Cognito, AWS AppSync, AWS Lambda, Amazon API Gateway, Amazon Elastic Container, AWS Serverless Application Model.
• Experience with NoSQL and Graph Databases specifically MongoDB and DynamoDB.
• Experience with Git and Git related automation workflows.
• Experience with developing Entity Relationship Diagrams, Activity Diagrams, Use Case Diagram, and relevant Software Development Life Cycle processes.
• Experience with CSS Frameworks, specifically Tailwind CSS.
• Experience with Building Information Modeling and Built Environment Related Solutions.
• Experience with “Three.JS” for 3D Model Viewer Development for Web Applications.
• Experience with “OpenBim Component” (Typescript Implementation).
• Strong knowledge on Industrial Foundation Classes Schema (IFC) and related OpenBIM Standards.
• Civil Engineering/Built Environment related experience, practices and workflows will be an added bonus.
• Strong written and oral communication skills and able to present results clearly.
• Open to fixed-term contract

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow.

The Research Fellow’s role is primarily to execute project in a multidisciplinary team, aiming to perform experimental measurement to optimize the two-phase flow in trickle-bed reactors. Liquid distributions, pressure drop, heat and mass transfer properties will be evaluated under various operating conditions.

Key Responsibilities:

• Perform experimental studies on trickle bed reactors
• Provide effective design solutions to optimize the reactor performance
• Develop new methods and techniques for measurement reactor performance
• Perform technical design reviews and recommend improvements
• Prepare manuscripts, reports and presentations
• Guide and train students and junior lab members
• Maintain complete documentation for experimental measurement methods and analysis used
• Regular communications with supervisors on experimental progress and report writing

Job Requirements:

• PhD degree in chemical engineering or closely related field
• Background in process engineering
• Good understanding of the scientific and engineering principles

We regret that only shortlisted candidates will be notified.

Part-Time Research Assistant Wanted – Immediate Start!

We are seeking a motivated and skilled Part-Time Research Assistant to support several ongoing research projects on a part-time, project-based basis. If you have a passion for research and possess the following skills, we would love to hear from you!

Key Responsibilities

· Develop theory-grounded survey questionnaires

· Conduct quantitative data analysis, with a focus on Structural Equation Modeling (SEM) using SmartPLS

· Write up SEM results and provide clear, insightful interpretations

· Perform data analysis using SPSS and create comprehensive SPSS results write-ups

· Work with Qualtrics to create surveys, extract and prepare data for analysis

· Conduct in-depth and comprehensive literature reviews

Requirements

· Proficiency in SmartPLS and SPSS is essential

· Experience in developing research surveys on Qualtrics

· Strong analytical and report-writing skills

· Prior experience in conducting literature reviews and synthesizing academic sources

Compensation

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is looking to recruit a Research Engineer to work on a research project developing an application solution for structural BIM submissions. This project aims to develop a solution that automatically checks the compliance of structural BIM submissions against existing Singapore design codes.

The candidate is expected to work on designing the overall system, liaising with vendors, lead a team of interns, and developing advanced techniques to support the system.

Job Requirements

• Possess a recognised bachelor’s in engineering, or related field from a reputable university.
• At least a post-graduate diploma or degree in computing or related fields.
• At least one year’s experience in a software development role.
• Experience with using AWS Services, specifically AWS Amplify, Amazon S3, AWS Cognito, AWS AppSync, AWS Lambda, Amazon API Gateway, Amazon Elastic Container, AWS Serverless Application Model.
• Experience with NoSQL and Graph Databases specifically MongoDB and DynamoDB.
• Experience with Git and Git related automation workflows.
• Experience with developing Entity Relationship Diagrams, Activity Diagrams, Use Case Diagram, and relevant Software Development Life Cycle processes.
• Experience with CSS Frameworks, specifically Tailwind CSS.
• Experience with Building Information Modeling and Built Environment Related Solutions.
• Experience with “Three.JS” for 3D Model Viewer Development for Web Applications.
• Experience with “OpenBim Component” (Typescript Implementation).
• Strong knowledge on Industrial Foundation Classes Schema (IFC) and related OpenBIM Standards.
• Civil Engineering/Built Environment related experience, practices and workflows will be an added bonus.
• Strong written and oral communication skills and able to present results clearly.
• Open to fixed-term contract

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for passionate and self-motivated postdoctoral research fellows to join our multidisciplinary team to work on the rational design of novel nanocatalysts and optical imaging for catalysis. The successful candidate will be expected to collaborate with a group of researchers from various disciplines and also assist the principal investigator in guiding junior researchers and graduate students as well as in managing project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/;https://www.mingzhaogroup.com/)

Qualifications

• PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields.
• Expertise in nanomaterials synthesis, electrocatalysis, and/or optical imaging
• Published in reputable international journals.
• Responsible and able to work independently.
• Good written and spoken communication.
• Good team player across multiple disciplines.
• < 5 years work experience after obtaining a PhD degree

Job Description

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi­disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

We seek to recruit a highly motivated individual to join the research group of Prof. Rong Li as a postdoctoral fellow at the Mechanobiology Institute, National University of Singapore. Candidates should possess an MD and PhD, as well as a strong publication record in the field of human reproductive biology and in-vitro fertilization. They should also have a strong background in cell and molecular biology, as well as excellent communication skills and the ability to engage in collaborative research in a highly interdisciplinary environment. The successful candidate will have opportunities to work closely with talented, motivated senior research fellows and interdisciplinary PIs, as well as with cutting-edge methodologies and instrumentation.

Qualifications

• MD and PhD in molecular cell biology or relevant biomedical disciplines
• Competence in cell and molecular biology
• Experience in image analysis, photomanipulation and bioinformatics are highly desired.
• Excellent communication and organizational skills
• Highly motivated to work both independently and as a team member

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.

More Information

Location: Kent Ridge Campus

Organization: Mechanobiology Institute

Department : Research

Employee Referral Eligible: No

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

• Research on tackling the research problems of SAR image recognition and object detection (semantic segmentation included).
• Develop the state-of-the-art algorithms of SAR image recognition models and publish papers.
• Implement the systematical toolbox using the trained SAR models.
• Demonstrate and visualize the research results in regular meetings with DSO Lab.

• Minimum Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 3 years of relevant research experience in computer vision and deep learning.
• Proficiency in programming languages such as c++ and python is required.
• Demonstrated experience and know-how on pytorch and tensorflow.
• Excellent working knowledge of SAR image processing.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in incremental learning, few-shot learning, and long-tailed image recognition topics will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

The MVAIT lab at Nanyang Technological University conducts high quality research on AI for medicine. These projects include the development of AI and software tools for the analysis of different types of medical data, such as omics, cell and medical imaging data. The objective is to enhance clinical efficiency and introduce affordable and effective biomedical technology to the society.

The role of the Research Associate includes conducting research on medical imaging data processing, 3D reconstruction, and AI algorithms with surgical robotics. The RA will not only design and implement state-of-the-art algorithms but will also be actively involved in the development and refinement of AI tools tailored for diverse medical domains. These endeavors aim to bridge the gap between advanced computational solutions and practical medical applications. The tools and solutions developed by the RA will be meticulously adapted to help the clinicians, radiologists, and biologists, facilitating them in their daily tasks and pioneering research. The RA will be involved in projects which aims to harness technology for the enhancement of patient outcomes and clinical efficiency.

Key Responsibilities:

• Design and implement AI algorithms to analyze medical datasets, including MR, CT, X-ray and microscopy data.
• Conduct research on high-precision medical analysis and data interpretation.
• Develop, test, and refine AI tools for different medical domains, ensuring the efficiency of the tools in real-world medical settings.
• Design dashboards or visualization tools to incorporate the implemented AI algorithms, and utilize VR/AR equipment and 3D visualization to enhance the understanding for clinicians, as well as facilitate in the training of students.
• Collaborate with external researchers and interdisciplinary teams, including radiologists, surgeons, and roboticists, to ensure the project practicality and clinical relevance.
• Assist in developing AI-assisted robotic solutions for surgical procedures, including pre-operative planning and intra-operative guidance.
• Analyze and interpret the data outcomes from the AI models and the medical procedures to provide critical insights and suggestion for improvements.
• Be aligned and updated with the latest advancements in medical imaging, image processing, and robotics to ensure that the research conducted is at the forefront of the field.
• Collaborate with external researchers to conduct research on AI and ML on medical datasets.
• Publish articles in high quality journals, ensuring that the research are recognized and accessible to the broader scientific community.
• Participate in the drafting of research projects to secure projects and contribute to the strategic research direction of the lab.
• Ensure that research activities adhere to ethical guidelines and patient data privacy regulations.

Requirements:

• Trained (Masters for Research Associate) in Computer Science, Computer Engineering, Electrical Engineering, Artificial intelligence, or associated programs.

• Strong experience in deep learning, AI, computer vision, machine learning, medical image analysis, healthcare.

• Expert knowledge of Python, C++, Pytorch, Tensorflow, etc.

• Experience in the analysis of medical imaging dataset.

• Experience in medical software implementation is a plus.

• Good ability in communicating data science models to non-data science audience using simple language.

• Existing Publications in top-tier AI or computer vision journals/conferences, such as TMI, MIA, MICCAI, NeuIPS, ICLR, CVPR, ICCV, ECCV, AAAI, IJCAI, etc, are preferred.

• Strong motivation in state-of-the-art research and publication.

The Centre for Maritime Law (CML) at the Faculty of Law, National University of Singapore, was launched on 3 September 2015 and focuses broadly on international trade, transport and shipping law–related issues. It undertakes research and hosts events of scholarly value to academics, professionals, and government institutions. Its objective is to enhance the development of commercial maritime law in Singapore, the region, and further afield. CML’s continuing achievements include a highly–regarded Working Paper Series (WPS), available at https://law.nus.edu.sg/cml/publications/, and the CML CMI Database, Judicial Decisions on International Conventions, available at https://cmlcmidatabase.org/.

The Director of CML is Professor Stephen Girvin, MPA Professor of Maritime Law.

CML is inviting applications from legal professionals and academic faculty in the field of maritime law to conduct research and to participate in the work of the Centre for a temporary period of one to two months, with possible extension of up to six months.

The suitable applicant should have a PhD degree in maritime law or maritime law related areas and a minimum of three years post-doctoral experience to be appointed to the position of Visiting Senior Research Fellow in CML.

The successful applicant will join CML’s existing full–time and Adjunct research staff (see https://law.nus.edu.sg/cml/personnel/).

Benefits

The position(s) will carry the following benefits:

1. A remuneration package commensurate with qualifications and experience.
2. Allocation of designated workspace within CML.

Duties

The successful applicant will be expected to:

1. Conduct their own research.
2. Complete ONE Working Paper for CML’s Working Paper Series - to be submitted within one month from the end of the appointment and ONE refereed journal article with acknowledgements of the affiliation with CML.
3. Attend CML’s events and bi-monthly lunch seminars, as well as present a briefing on some recent issues of maritime law at one of these seminars.
4. In consultation with the Director of CML, offer one CLE (Continuing Legal Education) or CPD (Continuing Professional Development) seminar to practising professionals in Singapore.

Requirements

The selection committee will consider the following criteria in making an appointment for the position of Visiting Senior Research Fellow in CML:

1. The candidate will be of exceptional calibre.
2. The principal selection criterion will be the applicant’s potential for excellence in research and a demonstrated ability and passion in assisting in the ongoing development of CML. The applicant should, therefore, submit a proposed research plan for consideration. The selection committee will consider the alignment of the proposed research with CML’s research strengths and priorities.
3. The applicant should be exceptionally organised and have an eye for detail. A strong command of the English language is absolutely essential.

Application procedure

Interested applicants are invited to apply and submit their applications. These must comprise:

1. Covering letter

This should explain the reason for your interest in the position and address your ability to perform the duties listed above.

2. Curriculum Vitae

A detailed curriculum vita should be submitted containing complete and detailed information on academic institutions, honours, awards, all publications to date, and all professional experience (current and previous, including dates of employment and job descriptions).

3. Research Proposal

A one-page description of the intended research project should also be submitted in the application.

4. Closing Date

The closing date for receiving applications and references is 30 October 2024. Late applications cannot be considered.

5. Shortlisting and Interview

Only shortlisted applicants will be contacted concerning the status of their applications.

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 staff would lead at least one project under supervision of the Principle Investigator (PI) and the scope of the project is on biomass valorization. The responsibilities will be as follow:

• To develop a well justified approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff.
• To execute the plan experimentally and interpret the data critically.
• To report to the PI proactively and take the initiative to propose changes to the plan when the project faces a technical challenge.
• To draft manuscripts and attend conferences to publicize the project findings.
• To support other team members and train junior colleagues. The staff will need to draft research proposal together with the PI.

Job Requirements

A well-qualified candidate should:

1. Be passionate about research;
2. Have a Phd degree in Chemical Engineering, Chemistry, or a similar/equivalent discipline;
3. Be an expert of chemical conversion of natural and synthetic polymers;
4. Command both spoken and written English at professional level;
5. Be a good team player;
6. Excellent publication record in related areas.

Physicists have been at the forefront of some of the most important inventions of all time. These inventions have formed the basis of transition toward an improvement in quality of life. Atomionics is at that juncture and ready to revolutionize the domains of resource exploration and navigation. Our quantum sensors are based on cold atom interferometry and can measure gravity, acceleration, and rotation with high accuracy, precision, and sensitivity. The challenge? Making it work in a dynamic environment to enable real world applications that would extend the benefits of the energy industry to the next billion people.

We are looking for a cold atom physicist who:

1. Wants to be involved in research while gracefully maneuvering through the technical constraints of field deployment
2. Is excited by the prospect of working within an interdisciplinary team comprised of electronics engineers, mechanical engineers, and software engineers
3. Would like to own their work via compelling equity offerings

We are a focused group in a high-energy environment. Our team consists of people at the top of their domains with a diverse set of experience, such as in advanced rocket engines, the first digital cameras, and high resolution microscopes, apart from cold atom physics. In addition, we are backed by some fantastic investors from the private and public sectors, such as Wavemaker, SGInnovate, Cap Vista, 500 Startups, and other prominent angels.

Responsibilities

• Design and development of atom interferometry based sensors
• Work in collaboration with electronics engineers and mechanical engineers to develop the system
• Research on the improvement and miniaturization of atom interferometry based sensors
• Write patents

Must have skills

• PhD in Physics, with research experience in cold atom physics
• Proficient in experimental work
• Ability to work independently and in a team
• Fluency in spoken and written English

Nice to have skills

• Prior experience in atom interferometry
• Built atom interferometry based gravimeter, accelerometer, or gyroscope
• Built near-IR lasers, laser locking system, and RF electronics
• Experience in theoretical simulation of atomic systems
• Developed control systems using FPGA

KEY JOB PURPOSE

We are looking for a focused and highly motivated individual to contribute to a dynamic and growing team. This team aims to expedite the novel light-weight and flexible perovskite solar cells for low-weight applications such as portable and wearable devices, BIPV and IoT.

KEY RESPONSIBILITIES

As a Research Engineer specializing in flexible perovskite solar cells, your responsibilities will revolve around conducting research, development, and optimization of this emerging technology. Here are some key job scopes for this position:

· Optimize deposition techniques, such as solution processing, vacuum deposition, or printing methods, to achieve uniform and high-quality perovskite thin films on flexible substrates.

· Investigate new materials, device architectures, and manufacturing methods to improve the overall performance and reliability of flexible perovskite solar cells.

· Investigate encapsulation strategies and barrier materials to protect flexible perovskite solar cells from degradation.

· Design and execute experiments to fabricate and characterize flexible perovskite solar cells.

· Conduct accelerated aging tests and reliability studies to evaluate long-term stability and durability of the devices.

· Scale up procedures from lab-scale to manufacturing scale.

· Conceptualize and realize new device configurations with enhanced stability and efficiency

· Report writing and results presentation

· Regular maintaining of research and study records, conceptualize, execute and interpret scientific experiments

· Work closely with internal colleagues in Singapore and China to work in company target.

COMPETENCIES AND QUALIFICATION REQUIREMENTS

· Master, PhD in Materials Science, Chemistry or related fields with in-depth knowledge of materials (especially perovskites), device physics and processing.

· Deep understanding of all kind of perovskite materials and interface engineering. Experience in flexible perovskite solar cells and low-temperature process/deposition is a plus.

· Expertise in device making and materials characterizations.

· Good skills in time management, experiment design and data analysis.

· Good communication and interpersonal skills.

We regret that only shortlisted candidates will be notified.

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

The laboratory of Professor Nelly Ng at the School of Physical and Mathematical Sciences is seeking a Research Associate to conduct research in the area of quantum thermodynamics, in particular for areas of interest such as (but not limited to) many-body quantum systems and/or catalytic resource theories. This is in line with the mission of the university to work on cutting-edge research topics that are of both fundamental and practical importance.

Key Responsibilities:

The candidate is expected to, but not limited to, engage in the following research directions:

• Utilize techniques and tools in quantum information theory in the study of quantum thermodynamics
• Conduct research in understanding the fundamental limits of controlling out-of-equilibrium quantum systems

Job Requirements:

• Master’s degree, in the area of quantum information and quantum thermodynamics
• Consistent research track record in terms of publication for the above areas of study. In particular, the following possible areas are:
• Studying the extension of resource-theoretic quantum thermodynamics to account for practical considerations
• Exploring the applications of theoretical quantum thermodynamics to study many-body systems
• Establishing the precise role of catalysis in quantum thermodynamics

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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