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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Tian Chong on organic synthesis under a project on Bridging Chemistry and Biology: synthesis, structure, and properties of Mechanically Interlocked Peptides (MIPs).

The main responsibilities of the position include:

• Research tasks (90%): to carry out research to design and synthesize rotaxanes via novel active template strategies.
• Laboratory safety/ordering (10%): to aid in ordering and maintaining lab supplies, create and review standard operating procedures and risk assessments, assemble reagents, chemicals and media that are needed for experiments.

Qualifications

Qualifications / Discipline:

• PhD of Science required with major in Organic Chemistry. Candidate with strong background in organic synthesis and excellent record of publication is preferred.

Skills:

1. Have an excellent understanding of chemistry.
2. Have expertise in multi-step synthesis.
3. Communicate well in English in writing and in oral and visual presentations.
4. Show an ability to work supportively in a laboratory environment.

Experience:

• Experience in organic synthesis and spectroscopic techniques for compound characterization.

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 Computer Science, 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 to conduct research focused on improving the safety of large language models (LLMs) using explainable methods.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

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

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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 seeking to recruit a research fellow to join the Bezos Centre for Sustainable Protein at the National University of Singapore (NUS) launched on 5 September 2024, the first of its kind in Asia to advance research in alternative proteins. Led by experts from NUS and research institutes in Singapore, the Centre aims to drive global food security and accelerate regional innovation. The focus will be on microalgae research and biomass fermentation, to produce high-quality, affordable, and sustainable microbial proteins from microalgae and biomass fermentation that can be further developed into cultured meat and plant-based protein hybrids. Microbial proteins will be cultivated through fermentation and processed using emerging bio-physical techniques for effective biotransformation, to improve digestibility, flavour, and nutritional profile. The research will also investigate methods to scale up the production of alternative protein products. More information about the centre can be found here: https://www.fst.nus.edu.sg/bezoscentre/.

As a research fellow, you will lead projects to optimise microalgae cultivation processes and apply bio-physical techniques to improve nutritional and organoleptic properties. Appointments will be initially made on a 1-year contract, renewable for up to 5 years.

Responsibilities:
- Conduct research activities in accordance with the Centre objectives involving but not limited to:
i. Conversion of industrial food side-streams into media suitable for microalgae cultivation.
ii. Microalgae cultivations in flask and benchtop bioreactors under batch, fed batch, or continuous modes.
iii. Conduct chromatographic, spectroscopic, and fluorescent analyses to monitor microalgae growth.
iv. Monitor the success of bio-physical techniques via in vitro digestibility studies, chromatography, and advanced microscopic analyses.
v. Assist in scaling up cultivations to pilot scale setting.
- Conceptualise new ideas, plan, and drive the overall direction of projects.
- Independently execute experiments, analyse data, and interpret results in a systematic and logical manner.
- Prepare formal reports, publications, grant applications, and presentations.
- Contribute to project management by overseeing budgets, designating resources, monitoring progress, and managing stakeholders.
- Mentor research assistants, graduate and undergraduate students.
- Coordinate research efforts with an interdisciplinary and international team of researchers within the Centre and other stakeholders.
- Coordinate procurement and liaison with vendors/suppliers.
- Ensure proper laboratory operation and equipment maintenance.
- Other duties as required.

Applications:
Please include the cover letter, CV (including personal particulars, academic and employment history, complete list of publications/oral presentations), academic transcripts, university certificate, and the contact information of 3 referees in your application. Only shortlisted candidates will be notified.

Qualifications

- A PhD degree in food science, bioprocess engineering, chemical engineering, microbiology, or a related discipline.
- Hands-on-experience in any of the following areas: single-cell biomass cultivation, chromatographic analytical methods, flow cytometry, upcycling of food side-streams, bioreactor or fermenter operation, qPCR, design of experiments, in vitro digestibility studies, single-cell downstream processing. Other areas where the candidate can prove its utility towards microalgae/biomass fermentation for food applications are also welcome.
- Proven track record in peer-reviewed research publications and presentations at international conferences.
- Excellent problem solving, critical thinking, and analytical skills.
- Strong verbal and written communication skills in English are required.
- Excellent communication and interpersonal skills to collaborate within a culturally diverse and cross-disciplinary team, and other stakeholders.
- Proactive, with the ability to conduct experiments independently.
- Highly motivated in developing sustainable and novel foods.
- Meticulous, well-organised, and detail oriented.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Health Services and Systems Research (HSSR) Programme at Duke-NUS is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’ s focus is on public health and clinical service innovation in an increasingly complex and connected world. The selected candidate will work in Cardiovascular Health Research Services Unit established under the CArdiovascular DiseasE National Collaborative Enterprise (CADENCE) national clinical translational programme. They will perform a variety of activities relevant to the planned economic evaluations for health interventions and assist a team of health economists.

Job Description

• Perform data cleaning, handling and analysis
• Perform economic evaluations in healthcare (cost analysis, cost-effectiveness analysis, cost-utility analysis or budget impact analysis) with guidance
• Assist in drafting research abstracts and manuscripts
• Assist in preparation of PowerPoint presentations to various stakeholders
• Conduct literature reviews to evaluate the potential value of health innovations
• Assist in preparation of evaluation reports for the health economics team
• Extract data from existing databases and published literature
• Manage projects from start to end with guidance (i.e. Develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform statistical analysis and engage and collaborate with various stakeholders)
• Support secretariat and administrative functions pertaining to the health economics team at HSSR

Job Requirements

• Bachelor’s Degree in any discipline. Master’s Degree in Public Health is preferred.
• Minimum 3 years of working experience with quantitative data
• Adept at working with data, including processing raw data to visualise trends and deciphering patterns and ability to handle large data sets
• Experience in various quantitative research methods preferred.
• Experience or training in health economics will be beneficial.
• Experience with R programming language, and a willingness to learn more applications
• Excellent verbal and written communication and interpersonal skills
• Able to work in a team, with dynamic reporting lines and multiple stakeholders
• Able to work independently with limited supervision
• Action-oriented, highly motivated and target-focused

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 Computer Science, 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 work at the Yang Zhang Lab. He/she should possess experience or interest in the following research areas:

• Artificial Intelligence (AI) and Deep Machine Learning
• Protein Folding and Structure Prediction
• Protein and Peptide Design and Engineering
• Protein-ligand Docking and Drug Screening

We are particularly interested in the development of new AI-based approaches to cancer therapeutics. Skills in computational coding and creativity in scientific method design, together with high interest in computational cancer medicine, are critical.

Only shortlisted candidates will be notified.

Job Requirements

PhD in computer science or computational biology, with skills and research experience in AI and deep learning.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

BENEFITS

1. Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS

The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Research Assistant
An appointment as a Research Assistant may be offered to an applicant who has a Bachelor’s degree in law and/or who has recently graduated with an LLB (Hons) with a First-class or good Upper Second-Class Honours (or equivalent) in law.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS Career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date

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 Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

1. BENEFITS
   Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS
The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Research Associate
An appointment as a Research Associate may be offered to an applicant who has an LLM (Hons) degree and a minimum of two years’ post-graduation experience.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date.

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 Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

BENEFITS

1. Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS

The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Research Fellow
An appointment as a Research Fellow may be offered to an applicant who has recently obtained a Ph.D. degree in law.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS Career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date.

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 Centre for Banking & Finance Law (CBFL) at the Faculty of Law, National University of Singapore, strives to be at the forefront of legal developments in banking and finance. Its mission is to contribute ideas for improving financial systems at the national, regional, and global levels. The Centre aims to foster a vibrant community that generates scholarship, policy recommendations, and intellectual exchanges focused on enhancing the robustness, soundness, and stability of the banking sector, capital markets, and other financial services.

The Centre invites applications from qualified candidates in the field of banking and finance law to undertake research and contribute to its activities. It welcomes research proposals across all areas of banking and finance law, including but not limited to: digitisation, artificial intelligence, cryptocurrencies, ESG, AML, payments, trade finance, credit and security, and financial consumer protection.

BENEFITS

1. Employment on a full-time contract at NUS Law for one year.
2. A remuneration package commensurate with qualifications and experience.
3. Eligibility to apply for research and conference funding from CBFL to support attendance at academic conferences and to conduct field research, where required.
4. Allocation of a workstation within CBFL.

DUTIES

1. Develop and pursue a research agenda, including undertaking research projects on topics related to banking and/or finance law, with a view to publication in suitable journals, edited volumes, reputable blogs or other appropriate online media.
2. Present work-in-progress at CBFL research seminars with a view to refining it for publication.
3. Assist in other CBFL research projects and initiatives, as assigned by the CBFL leadership.
4. Attend and contribute to CBFL events.
5. Residence in Singapore throughout the term of appointment, subject to the standard NUS terms for annual and academic leave.

Qualifications

REQUIREMENTS

The applicant must possess strong organisational skills, self-motivation, diligence, the ability to meet deadlines, and keen attention to detail. Excellent command of the English language, both written and oral, is essential, along with demonstrated ability to independently produce publishable research.

The required academic qualifications are position-dependant:

Senior Research Fellow
An appointment as a Senior Research Fellow may be offered to an applicant who has a PhD degree in law and a minimum 3 years’ post-doctoral research experience.
.

APPLICATION PROCEDURE

Applications are to be submitted via the NUS Career Portal. The application must comprise:

1. Cover letter
The cover letter should, among other things, explain your interest in the position. You are not required to express a preference for any specific listed position, as this will be determined based on your qualifications, background, and expertise. Additionally, the letter should include a statement outlining your research plans for the next one to two years.

2. Curriculum Vitae
A curriculum vitae should be submitted, providing comprehensive and detailed information about your academic institutions, honours, awards, complete publication record, and professional experience (both current and previous). Please include dates of employment and job descriptions for all roles.

3. Writing sample
Since the successful applicant is expected to develop their own research to a publishable standard, a writing sample must be included with the application. Ideally, this sample should relate to some aspect of your proposed research. Please submit the sample in Word format only.

4. Letters of Recommendation
The application must be supported by two references from academic referees. Applicants are requested to arrange for their referees to send their references to [email protected] by the closing date.

5. Closing Date
The closing date for the receipt of applications and references is Friday, 10 January 2025. Applications must be submitted at NUS Career portal.

6. Shortlisting and Interview
Shortlisted applicants will be invited for an interview on a date to be arranged. All applicants will be notified of the status of their application within two months of the closing date.

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 Computer Science, 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 on one or more research projects. He/She should possess experience in security, formal method, and crypotography.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

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.

Job Description

We are seeking a motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:

• Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
• Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
• Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
• Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
• Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

• Master’s degree in Materials Science, Chemistry, Physics, or a related field.
• Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
• Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
• Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Prof Quek Su Ying on excitonic properties of layered materials under a project on Materials for Room Temperature Exciton Condensates: From Database to Laboratories.

The main responsibilities of the position include:

Using an electrostatic model combined with first principles calculations to compute the excitonic properties of selected layered materials with thicker layers.

Qualifications

• Qualifications / Discipline: Physics (PhD)
• Skills: First principles calculations, modelling
• Experience: Experience with first principles calculations in layered materials

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

• Support full spectrum finance duties, including but not limited to procurement, payments, accounts receivables in line with hosting institutions and grantor guidelines
• Provide grant management administration, such as grant claims, progress report’s financial reporting and other grant variation request.
• Provide administrative support, such as assets management, filing, phone enquiries, mails collections, stationery orders, etc
• Provide finance and administrative support for Annual Scientific Meeting and assist in pre and post event activities
• Assist in other finance or administrative functions as and when required by team

Qualifications

Degree in Administration, Accounting or Finance, and minimum 2 years of work experiences

• Positive working attitude, proactive and willing to learn
• Good organization and communication skills
• Experience in SAP HANA, Ariba
• Good knowledge of Microsoft Office application like Excel, Word, Teams, DocuSign and online communication application is an added advantage

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

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 currently seeking a highly motivated and talented research assistant/associate to work on research focusing on identifying novel therapies for treatment of acute myeloid leukemia in the laboratory of Dr Shruti Bhatt at the NUS (http://pharmacy.nus.edu.sg/tenure-track-faculty/). The candidate will be an integral member of our research team and will work under the direct supervision of Dr Shruti Bhatt (https://pharmacy.nus.edu.sg/team/asst-prof-shruti-bhatt/) to support ongoing studies including identifying clinical response to targeted therapy in leukemia using BH3 profiling. Opportunity to perform high-throughut chemical screens on cell lines and patient-derived tumor cells. We are looking to hire someone who is interested in doing wet lab experiments. The candidate will be trained in the lab however, prior experience will be given first preference.

The main responsibilities of the position include:

a) Research tasks: 90%

• To perform cell-based assay such as apoptosis, cytoxociity, cell proliferation, immunophenotyping, BH3 profiling.
• Processing of human primary leukemia samples to isolate mononuclear cells and process for flow cytometry.
• To harvest cells, protein, RNA or DNA from animal tissues, cell lines or bacteria.
• To perform experiments including PCR, immunoprecipitation and Western blot.

(b) Laboratory safety/ordering: 10%

• To aid in ordering and maintaining lab supplies.
• To create and review standard operating procedures and risk assessments.
• To assemble reagents, chemicals and media that are needed for experiments.

Qualifications

Qualifications / Discipline:

Bachelor of Science required with major in biological sciences or related field (such as pharmacy, biomedical engineering, life science, etc). Strong background in molecular and cellular biology is preferred.

Skills:

The applicant must be a self-starter with the ability to work well within a team environment, and able to work on his/her own with minimal daily supervision. The individual is expected to be able to multi-task and be well organized, both require good time management skills; pay careful attention to experimental details, and have excellent communication skills. English language reading, writing, and speaking skills required.

Experience:

We will consider a Bachelor's or Master’s degree with or without experience. Additional experience in molecular biology, handling of animals, clinical samples or primary tumors, flow cytometry and fluorescent microscopy will be viewed favorably. Background in apoptosis or leukemia biology is a plus. Candidates with prior knowledge of large data-set analysis will also be preferred. Proficient computer skills are expected with competency in Word, Excel, etc. We are looking for candidates who have at least one year of availability and can start immediately.

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 Global Centre for Asian Women’s Health (GloW) aims to build a global research platform for transdisciplinary endeavours to address major health concerns over a woman's lifespan and across generations. Through its main hub in Singapore, the Centre will engage in multi-disciplinary research to promote women’s health, including a series of diet and lifestyle intervention studies.

Purpose of the role

The project coordinator/manager will play a key role in dietary intervention studies by actively managing and coordinating diet and lifestyle intervention studies in GloW. Responsibilities include development, implementation and monitoring of meal plans, educating participants as needed, collecting dietary data, and performing administrative duties to ensure the studies’ success and compliance. The staff will work closely with Principal Investigators of intervention studies, collaborate closely with the research team, food service team, and other relevant stakeholders, as well as undertake other ad-hoc responsibilities assigned by the Centre’s Director as needed.

Main Duties and Responsibilities

The staff will hold a few key responsibilities, including

(1) Intervention study coordinator:

• Recruit and interview study participants for the intervention study
• Implement methods for collecting dietary data, including detailed food intake records and compliance monitoring.
• Conduct regular assessments to evaluate participants' nutritional status and document any deviations from prescribed diets.

(2) Nutritional Intervention study monitoring:

• Monitor food/nutrient composition for meals developed for intervention study
• Collaborate with the research team to integrate nutritional components into the study design and ensure alignment with research objectives.
• Liaise and coordinate with the Food Service team, providing diet requirements, and assisting in menu and recipe development and analysis as required

Main Duties and Responsibilities

(3) Participant Education and Counseling:

• Provide individualized nutrition education to study participants
• Communicate complex nutritional information and address participants’ questions and concerns about their prescribed meal plans.
• Foster participant compliance by offering ongoing support and guidance, emphasizing the importance of dietary adherence to the research trial.

(4) Administration and Leadership:

• Provide administrative leadership for the trial, ensuring compliance with regulatory, ethics and governance requirements
• Maintain accurate records related to trial administration, participant interactions, and regulatory documentation

(5) Others:

• Any other ad-hoc duties as allocated by the Centre Director

Qualifications

1. Possess a Master's degree (in Nutrition, Dietetics, Food Science & Technology or relevant areas)
2. Strong interpersonal and communication skills
3. Excellent organizational and time-management skills
4. Sound understanding of the research environment
5. Adherence to high standards of professional integrity and ethics
6. Be a Registered Dietitian at Singapore Nutrition & Dietetics Association (SNDA) or other well-recognized Dietitians Association -preferable
7. Preferably with at least 6 years of relevant working experience with the application of nutrition or dietetics background

Qualifications

1. Familiarity with local and global cuisines
2. Independence and adaptability in a fast-paced work environment, adept at working under tight deadlines
3. Commitment to the ongoing development of a positive organizational culture
4. Willingness to continuously learn and stay updated on skills and evidence-based medical and nutrition information
5. Proficient in Microsoft applications (e.g. Excel, Outlook, Word, Powerpoint), online meeting tools
6. Familiar with nutrient databases

Application

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

Excellent leave and medical benefits by the National University of Singapore.

First round of application review will start on November 20th , 2024. Position will be closed on December 24th, 2024. Only shortlisted candidates will be notified.

Applicants should email 1) a curriculum vitae; and 2) name and contact information of three references.

Position: Senior Audit Associate

Working Days: 5 days / 5.5 days(Saturday half day during peak period)
Working Hours: 0830am - 1730pm
Salary: Up to $4500
Location: Beach Road

Duties

• Is expected to lead various sizes of audit engagements which include planning, performing, reviewing of audit work performed by less experienced personnel and concluding the engagement.
• Works closely with team members to execute the audit plan and ensures the timely completion of the audit engagement.
• Works closely with clients and manages their expectations to further nurture on-going client relationships.
• Able to identify unethical behavior and react based on the applicable ethical principles.
• Operates in work contexts that are less standardization and unanticipated changes can be frequent due to changes in the external environment.
• Work with any of the assurance teams to obtain an understanding of our client’s business.
• Develop an audit plan/strategy for an audit of financial statements and document the planning procedures.
• Prepare/tailor audit programmes based on areas of audit emphasis determined at the planning stage.
• Perform audit tests of controls and substantive procedures based on planned audit approach to address the various assertions, eg: existence & completeness, rights and obligations, valuation, accuracy, presentation and disclosure.

Requirements

• Bachelor's Degree or equivalent
• 1-2 year of working experience as senior audit associate.

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

Working Days & Hours: 5 days across Monday – Sunday, Up to 44 hours per week. (11am - 8pm/ 12pm - 9pm)
Location: Newton/ Chinatown

Contract: yearly renewable based on business needs and individual performance

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data
• Handle incoming hotline and mailbox enquiries to resolve respondents’ issues
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:
• Strong phone and verbal communication skills along with active listening
• Experience with Key Performance Indicators (KPIs) preferred
• Excellent customer service skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOLKELLY job application platform - GO. https://go.persolkelly.com/job...

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tacand the Privacy Policy. If you wish to withdraw your consent, please email us at [email protected]. Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R1989461) EA Licence No. 01C4394

Job Description

• Develop, validate and perform bioassays and bioanalytical assays in compliance with FDA/EMA and GLP guidelines
• Refine current method in response to changing requirements of drug development
• Prepare study plan and study data of assays performed
• Analyse and present data/results
• Document work, results, analyses and findings in laboratory notebooks or study folders as appropriate according to workflow
• Draft SOPs and study reports
• Perform literature review for various drug pipelines and assays as required
• Meet project milestones with set quality
• Ensure scientific integrity of studies conducted and reports submitted

Requirements

• BSc or MSc in biomedical science, life science or equivalent
• Prior research and development experience are required
• Proficient in mammalian cell culture and aseptic techniques is a must
• Experience in ligand binding assays mainly ELISA, cell-based assays, SDS-PAGE, western blot and reporter assays is highly desirable
• Good knowledge of cell based (potency) or ligand binding assays required in drug development process
• Proficient with office software (MS office, Teams), and familiar with statistical tools (Graphpad Prism, XLSTAT or PLA)
• Knowledge of bioassays, bioanalytics and its method validation, GLP and ISO17025 is a plus
• Good written and verbal communication skills
• Superior problem solving and troubleshooting skills, attention to details
• Good interpersonal skills

Job Description

The Centre for Ageing Research and Education (CARE) is an academic research centre in Duke-NUS Medical School. Drawing on its multidisciplinary expertise and collaborations across medical, social, psychological, economic, and environmental perspectives, CARE’s research is situated in eight broad thematic areas: Population Health, Family Caregiving, Community-Based Health and Social Care Services, Productive Ageing, Falls, Ageing and the Environment, Health Communication, and Social and Psychological Aspects of Ageing.

CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults in Singapore. At Duke-NUS, CARE works closely with the Health Services and Systems Research (HSSR) Signature Research Programme, a centre of academic excellence for research and education on the organisation, funding and delivery of health services, and a focus is on public health and clinical service innovation in an increasingly complex and connected world.

We are seeking a full-time Research Assistant to join the team. The selected candidate will work across research projects, with the primary responsibilities including but not limited to the following:

• Perform data management including data cleaning, quality and consistency checks, and preparation of codebooks.
• Work with other researchers on interpreting and analysing quantitative data.
• Contribute to preparation of reports, policy and research briefs, presentations, and research papers.
• Conduct follow-up assessments of study participants over the phone.
• Support other project management tasks.
• Assist with other initiatives at CARE where required.

Job Requirements

• Bachelor’s Degree in Sociology, Epidemiology, Gerontology, Public Health, Psychology, Social Work, or other related disciplines.
• Prior work experience in quantitative data analysis will be advantageous.
• Possess strong communication and interpersonal skills.
• Able to take initiatives to learn on the job and manage assigned tasks.
• Motivated and detail-oriented with the ability to work independently as well as with others in a multi-disciplinary setting.

Candidates with relevant work experience may be considered for a Research Assistant (Senior) position.

Please attach a cover letter and a CV, with names and contact information of 3 referees. Applications will be reviewed on a rolling basis. We regret that only shortlisted applicants will be notified.

Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.

Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.

For more information on Singapore University of Social Sciences, please visit www.suss.edu.sg

About The Job

The successful candidate will be responsible for leading and supporting strategic and applied research projects focused on addressing critical social issues such as lifelong and inclusive education, healthcare, resilient families, environment and sustainability through data-driven approaches. The role requires expertise in social science, data analysis, and research methodologies.

What You Will Be Doing

Key Responsibilities

• Lead the conceptualisation and execution of high-impact research projects aligned with the Centre’s vision for social good, including the design and implementation of impact assessment methodologies to evaluate the effectiveness of social programs and interventions.
• Design and implement quantitative and qualitative research studies to explore key social issues.
• Analyse large datasets using advanced statistical tools to extract meaningful insights related to social impact.
• Collaborate with external partners to collect data and information required for projects, ensuring ethical standards are maintained.
• Engage with non-profit organizations, government agencies, and academic institutions to support research collaboration on social good projects.
• Lead the preparation of grant applications and proposals to secure funding from governmental, non-governmental, and philanthropic sources.
• Collaborate with the Centre’s leadership to identify new funding opportunities that align with the Centre’s mission and strategic priorities.
• Monitor project budgets, timelines, and resources, ensuring efficient use of funds and personnel.
• Prepare high-quality research reports, policy briefs, academic publications, and presentations for internal and external stakeholders.
• Publish findings in peer-reviewed journals, contribute to white papers, and present at conferences.

Job Requirements

• Ph.D. in a relevant field (e.g., Social Sciences, Public Health, Economics, Data Science, Sociology, Environmental Studies, etc.) or master’s degree with significant research experience.
• At least 3 years of post-doctoral or equivalent research experience, ideally in social impact or related fields.
• Proven experience leading research projects with interdisciplinary teams.
• Demonstrated ability to secure research funding through grants or partnerships.
• Good publication record in relevant fields.
• Advanced expertise in research methodologies, both qualitative and quantitative.
• Proficiency in statistical analysis tools
• Strong understanding of data visualisation and reporting techniques.
• Excellent communication and writing skills for both technical and non-technical audiences.
• Excellent stakeholder management with excellent interpersonal, facilitation and communication skills.
• Strong problem-solving abilities, with a focus on applying research to real-world challenges.
• Ability to work independently as well as part of a multi-disciplinary team.
• Strong organisational and project management skills, with the ability to manage multiple tasks simultaneously.
• Always observe a code of strict confidentiality.

What We offer

At SUSS, we advocate the Spirit of Learning and pride ourselves as lifelong learners. You will gain access to various learning platforms and plenty of development opportunities to support your growth in a meaningful career!

Besides that, you will also get:

• Competitive Pay Package
• Hybrid Work Arrangement (Subject to Job Role)
• Medical Benefits
• Flex Benefits
• Family Care Leaves
• Volunteer Service Leaves
• Wellness & Recreation Activities
• Lifelong Learning Opportunities
• Career Development Opportunities through Internal Job Postings and Transfers

Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.