About Us:

Join us at Shanda AI Research Institute (SARI)! The institute is dedicated to becoming a global leader in AI innovation, driving the transition of AI technology from the "copilot" era to the "autopilot" era. SARI focuses on cutting-edge research in large models and nextgeneration intelligent agents. Our mission is to push the boundaries of AI technology, develop groundbreaking models, and advance their real-world applications and impact.

Furthermore, we work closely with Tianqiao & Chrissy Chen Institute (TCCI) to jointly advance cutting-edge research at the intersection of AI and brain science. By applying the latest achievements in AI, represented by large models, to brain science research, we aim to drive breakthroughs in the field. At the same time, leveraging the latest insights into human cognitive mechanisms from brain science, we explore innovative paradigms for the next generation of AI.

Key Responsibilities:

• AI Innovation & Integration: Advance LLMs, LMMs, and next-gen AI by integrating long-term memory, retrieval-augmented generation (RAG), and intelligent agents.
• AI + Brain science: Advancing interdisciplinary research between AI and brain science, particularly focusing on the application of large models in multimodal, highprecision, and low-latency brain signal decoding.
• Research & Publication: Publish in top-tier journals and conferences, secure patents, and contribute to the open-source AI community with datasets, models, and code releases.
• Industry Insight: Stay ahead of emerging AI trends, technologies, and applications that shape industries and transform businesses. Apply theoretical breakthroughs to real-world business challenges, driving AI adoption and impact.

Essential Qualifications:

1. Technical Expertise

• Strong understanding of Natural Language Processing (NLP), Computer Vision, Deep Learning, and Machine Learning.
• Familiarity with state-of-the-art models, including Autoregressive Language Models, Vision Transformers, and Diffusion Models.
• Proficiency with AI frameworks like PyTorch and experience in RetrievalAugmented Generation (RAG) and intelligent agent systems.

2. Academic & Research

• Proven research experience with publications in top conferences and journals, such as ICLR, ACL, EMNLP, CVPR, NeurIPS, ICML, etc.
• Experience in developing and refining large-scale language models and visionlanguage models is a significant advantage.

3. Programming Skills

• Proficiency in Python, C++, or Java, with hands-on experience in Linux environments.

4. Soft Skills

• Strong skills in communication, teamwork, problem-solving, and self-motivation.

Preferred Qualifications:

• Demonstrated success in high-impact AI competitions or large-scale research projects.

Bonus Skills:

• Experienced in brain science research, particularly at the intersection of neuroscience and AI.
• Hands-on experience with large-scale data processing and deployment of deep learning models in production environments.
• Strong mathematical foundation and fluency in English for technical documentation and communication.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Associate to design and fabricate multifunctional polymer lattice structures with integrated sensing ability for mechanical protection in various applications through powder-bed-based 3D printing.

Key Responsibilities:

• Design multifunctional lattice structures.
• Fabricate lattice structures by 3D printing.
• Conduct property tests of 3D-printed structures.
• Collaborate with other group members (including PhD students and research staff).
• Publish research results in reputable international journals.

Job Requirements:

• Minimally Master’s degree in Mechanical Engineering, Materials Science, or closely related field.
• Good communication and writing in English.
• In-depth knowledge in lattice structures and 3D printing technologies.
• Experience in numerical modelling for 3D printing.
• Good publication record.

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

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.

With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a Research Assistant to develop a rapid and cost-effective genotyping method for early detection of colon cancer.

Key Responsibilities:

The Research Assistant will work on a project on developing a MS-based rapid and cost-effective genotyping method for early detection of colon cancer.

• Primary responsibilities include molecular cloning, cell culture, DNA isolation, developing biochemical assays and chromatography-coupled mass spectrometry analysis.
• Work closely with senior researchers.
• Work with external collaborators.
• Prepare results for publication.

Job Requirements:

• Bachelor degree in biochemistry, molecular & cell biology, bioengineering, chemical engineering, or a related field.
• Experience in molecular cloning, cell culture, high-performance liquid chromatography or mass spectrometry are preferred.
• Excellent verbal and written communication skills.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Li Qianxiao on machine learning theory and applications.

The main responsibilities of the position include:

• Conduct cutting edge research in machine learning theory and algorithm research
• Publish papers in high impact avenues

Qualifications

• Qualifications / Discipline: PhD in Mathematics, Computer Science or related fields
• Skills: Knowledge in some/most of these areas: machine learning theory and algorithms, sequence modelling techniques, deep learning, scientific computing
• Experience: Strong research track record

Job Summary

Lucror Analytics is seeking a credit analyst to join its established and well-regarded European high yield research team. Based in Singapore, the successful candidate will work with the team to further expand Lucror's coverage of European bond markets. The position offers a high degree of visibility and interaction with institutional investors, who rely on Lucror's research to make well-informed investment decisions.

Company

Lucror Analytics is a premier high yield credit research specialist with a global client base of institutional investors. The principles driving our business are integrity and independence. Our credit team currently comprises 15 members and is one of the most experienced and respected analyst teams in the high yield space.

Lucror’s research is read by the most prominent high yield institutional investors globally, who recognise the value that robust and impartial analysis adds to their investment and risk management workflows. Lucror’s analysts have consistently been regarded as truly independent and value-adding voices within the sub-investment grade community.

Position

Credit Research Analyst covering European high yield bond issuers. The analyst will be tasked with conducting rigorous credit analysis and publishing high-quality research for European high yield issuers using Lucror’s proprietary analytical framework. Furthermore, the analyst will work with our ESG team to assess issuers from an ESG perspective.

Qualifications

The ideal candidate will possess the following qualifications:

• 3+ years of experience in credit markets, preferably with strong experience in corporate high yield.
• Demonstrated analytical rigor and resourcefulness, including ability to comfortably work with financial models and advanced Excel functions. Programming skills (e.g., in VB, Python) are a plus.
• Independent thinker who can conduct objective analysis and reach actionable conclusions.
• Previous experience, preferably obtained in an independent credit research house, a credit rating agency, captive buy side/sell side research division or investment bank.
• A broad and reliable network of market sources to aid his/her research work.
• Good verbal and written communication skills and ability to clearly articulate his/her analysis.
• Good presentation skills, effective and comfortable communication with cross-cultural clients.
• High degree of commitment and integrity, perseverance, and team-spirit.
• Languages: English (fully fluent, spoken and written).

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are seeking a highly motivated research fellow to join our dynamic team at the School of Materials and Science Engineering at Nanyang Technological University, Singapore. We are looking to hire a leading scientist with the expertise in microbiology. Some experience in materials science and engineering would be ideal. The successful candidate will contribute to cutting-edge research at the intersection of materials science, advanced manufacturing, robotics, and sensing.

Key Responsibilities:

• To isolate, identify and investigate how probiotics can impact growth rate and health of fish in the aquaculture industry.
• Developing and formulating encapsulation systems for the delivery of probiotics
• Conduct growth trials and challenge tests with research collaborators to understand the impact of functional fish feeds vs existing feeds.

Job Requirements:

• PhD qualification with relevant research experience in Material Science
• The candidate will be hired in an aquaculture-related project that funded by a government agency.
• The candidate will be working as a part of a research team to provide expertise knowledge and skills in microbiology and materials science to address to the hypothesis in the project.

We regret that only shortlisted candidates will be notified.

The Centre for Population Health Research and Implementation (CPHRI) is a centralised platform for population health research, innovation, implementation and evaluation activities in SingHealth. CPHRI aims to seamlessly leverage data and technology to guide and support population health initiatives and accelerate the implementation of research findings in care delivery and improvement.

You will support the work of the Population-based, Unified, Learning System for Enhanced and Sustainable Health (PULSES) Centre Grant as well as other signature research programmes in the centre. You will assist the Principal Investigators in developing grant proposals and study plans. You will conduct literature reviews and systematic reviews as well as assist with study design and planning. You are required to perform data analysis and ensure the accuracy in the data interpreted.

You will be involved in the preparation of abstracts/posters/manuscripts/reports. You will oversee the process and quality of the study execution and keep track of timelines and budget. You will also lead a team of junior research staff and provide technical supervision.

Requirements

• PhD degree in Social Science, Biostatistics, Public Health, Epidemiology, Health Economics or related academic area with at least 3 years’ experience in population health research
• Experience in health economics or implementation science will be an advantage
• Track record of publications in peer-reviewed journals
• Strong quantitative or qualitative research skills
• Proficient with advanced data analytics software (eg. SPSS, STATA, SAS) or qualitative analysis software (eg. Nvivo)
• Excellent written and verbal communication skills
• Highly motivated, independent and able to work in a dynamic environment
• Ability to work independently and in a team

Work arrangements

• This role offers hybrid work arrangements, providing the flexibility of working remotely and in the office

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The CRISPR and Genome editing Lab led by Asst. Prof. HU Chunyi is a new research group in the Department of Biological Sciences at National University of Singapore. We are identifying and developing new CRISPR-Cas systems and genome editing tools for precision medicine.

We are actively seeking one highly motivated Post-Doctoral Fellow (Research Fellow) to join our efforts and lead projects in researching and developing novel CRISPR-Cas systems and applications based on the new systems.

Applicants should include a detailed cover letter and CV that include your (i) qualifications (ii) research interests (iii) research experience (iv). The position is available in March 2025.

Qualifications

Ph.D. in one of the disciplines: Biochemistry, Molecular Biology, Microbiology, Biophysics (Structural Biology), Bioinformatics or related fields.

Skills:

• With good publication track. At least one research article published in top journal (IF>10) as the first author.
• Excellent written and interpersonal communication skills and able to work well in an interdisciplinary team.
• Highly motivated and independent.
• Organized, dedicated and reliable.
• Critical thinking and scientific achievement in research, exemplified by publications, conference presentations or patents.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic impact. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistics tests.

Job Requirements

The research fellow should have at least 3 years relevant experience in the following two areas:
• 3D concrete printing;
• Conducting laboratory ballistic tests.

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials

For more details, please view https://www.ntu.edu.sg/mse/research.

We are looking for a Research Fellow to develop sensors and mitigants for bacterial contaminations in the cellular agriculture industry. An essential part of this research work is using protein-protein interactions (PPI) of the target bacteria both as basis for sensors development and as targets for mitigation. Peptides based on these PPI interfaces will serve for sensing the target bacteria as well as starting points for non-antibiotic mitigants. The job will include identifying potential target protein-protein interactions of the bacteria, designing and synthesizing peptides derived from these PPI interfaces, evaluating their inhibitory activity and antimicrobial activity and developing more advanced and active derivatives. Experience in peptide design and synthesis and in protein biochemistry is required, with expertise in recombinant protein expression and purification being an advantage. as well as independence and creativity.

The role will focus on design, monitor, and perform experiments within the scope of the assigned research project. Additional duties may include training and collaboration with research staff and students.

Key Responsibilities:

• Select the most important PPI for inhibition and design peptide inhibitors
• Synthesize the designed peptides, purify and characterize them.
• Express and purify the target bacterial proteins using recombinant systems.
• Perform quantitative biochemical and biophysical studies of the protein-peptide interactions
• Test the ability of the peptides to inhibit the target proteins and bacterial growth
• Design improved more potent and stable peptides and test their activities as above
• Use the best binding peptides for biosensor development
• Conduct interpretation and application of experimental results
• Gather information/ data and prepare documents for reporting/ papers and actively participate in all stages of writing these papers and reports
• Assist in and deliver training and coaching new members with relevant laboratory/ technical skills

Job Requirements:

• PhD degree in Biochemistry/Chemistry
• At least 3 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Strong experimental skills in peptide design and synthesis, protein expression and purification and binding and activity studies
• Excellent communication and organizational skills
• Independence, creativity and original thinking
• Gathering information/ data and preparing documents for reporting/ papers as well as actively participating in writing these documents
• Willing to contribute to team services like sharing/ coaching new members with relevant laboratory/ technical skills
• Ability to build rapport and influence stakeholders at all levels
• Ability to work collaboratively in a fast-paced environment.
• Possesses international experience, with a strong network of contacts in the region.

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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 9-month contract at the Natural Sciences and Science Education Department.

Project Title: Feasibility Study on Laser Induced Plasma-Guided Electrical Discharges

Project Introduction:

The aim of the project is to study and evaluate several types of conditions and design parameters of different plasma and laser devices that would allow: (1) generation of laser-induced plasma channel under atmospheric pressure, (2) propagation and maintaining of electrical stream/pulses on the plasma channel, (3) evaluate effects of laser-induced plasma with material interaction. Experimental and simulation studies will be caried out using various setups and software tools to determine the feasibility of generating these laser-induced plasma channel for applications requiring electrical discharge, electrical transport, and spectroscopy.

Requirements:

• BSc in Physics, Engineering Science, or Electrical Engineering.
• Preferably minimum 1 year working or research experience.
• Preferably with experience in experimental lab or computational applications.
• Preferable knowledge of Unix or Linux concepts, the Unix shell, and terminal commands to interact with Unix computer environments.
• Preferably possess or previously holds a NEA N3 laser license.

Responsibilities:

• Work on development of laser induced plasma channel and other plasma/laser setups.
• Assist in all aspects of experiments including carrying out experiments, data analysis, and experimental setup.
• Assist in all aspects of modelling/simulation work.
• Design of new parts and new apparatus.
• Help with aspects of project management and administration - prepare writeups, progress reports, risk/safety assessments, reports, and compilation of literature survey.
• Documentation and scientific reporting.
• Assist Principal Investigator in other tasks.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Req ID: R00019495 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Natural-Sciences-and-Science-Education-Department--NIE-_R00019495)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic and blast loadings. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistic and blast tests. He/She will also be required to set up the numerical models in commercial FE software (e.g. LS Dyna), validated against experimental data, to understand the mechanisms in resisting the high impact loadings for the various cementitious materials.

Job Requirements

• Possess a PhD degree in a relevant field, with experience in the following areas:
• 3D concrete printing;
• Laboratory ballistic tests;
• Design of blast tests for concrete specimens;
• FE simulations of blast loading on concrete structures.
• Strong written and spoken communications.
• Open to fixed-term contract.

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

We are looking for a research fellow to work in the area of development of high efficient thermoelectric materials and materials processing methods for solid cooling devices. The candidate will play a crucial role in solid state chemistry synthesis, vacuum sealing, processing, characterization, property evaluation and application of thermoelectric materials for targeted applications.

The candidate should have good knowledge on band structure engineering, synchrotron X-ray process, materials characterization. He / she should have good background on designing and properties of thermal properties and thermoelectric properties of materials. Know all the thermoelectric device fabrication.

Key Responsibilities:

• Preparation of thermoelectric materials, hot pressing,
• thermoelectric material testing and module preparation
• Thermoelectric modulus fabrication
• Publication in good journals

Job Requirements:

• PhD in solid state chemistry/ Materials Science
• Candidates with strong background in Materials Engineering
• Good publication record
• Good team player with good attitude

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

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We are a speech and language technology research group situated under CCDS, NTU. The group was established since 2007 and has since focused on machine learning and deep learning approaches in speech and language technologies. Our research interests include but not limited to Automatic Speech Recognition (ASR), Classification and Speech Understanding. The College of Computing & Data Science (CCDS) invites applications for the position of Senior Research Scientist.

Key Responsibilities:

• Lead the research and development of algorithms for speech recognition, diarization and speech enhancement.
• Plan and ensure timely delivery of project milestones and deliverables.
• To lead in the development of far-field speaker diarization and enhancement.
• To organize, document and transfer developed software package(s) to other team members and/or funding bodies.

Job Requirements:

• PhD in computer science/engineering or related fields.
• Strong expertise in speech technologies such as speaker diarization, speech enhancement, speaker overlapping detection, automatic speech recognition, and natural language processing and deep learning applications.
• Have experience in leading teams for speech research.
• Strong in the following programming languages and frameworks: Python, PyTorch.
• Experience in project management, delivery and customer support in the relevant research fields.

We regret that only shortlisted candidates will be notified.

This is a short term research assistant role to assist a research project on the topic of carbon capture, the role requires theoretical and hands-on experiences in the synthesis of porous carbon, specifically in techniques such as material formulation, freeze casting, and characterization techniques such as scanning electron microscopy, BET, FTIR and XRD.

The individual will also have proven technical writing experiences, having first-authored published manuscript in peer reviewed journals. In the short contract, the individual will aim to 1) complete a manuscript 2) participate in proposal writing 3) collaborate with a postdoctoral fellow on a carbon capture material research project

a) Preparation of Laboratory based practical lessons

b) Set up and clearance of experiments

c) General cleaning of the lab and lab equipment

• Mondays to Thursdays: 7:30am to 5:00pm, inclusive of 1hr lunch break

• Fridays:7.30 am to 4:30 pm, inclusive of 1hr lunch break

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.

Join the laboratory of Shen Yijie at SPMS. We are seeking a Research Assistant to contribute to a project focused on Harnessing High-Dimensional Complex Optical Topological Structures by Generative AI.

Key Responsibilities:

• Develop the AI architecture for the project
• Design the Physics-enhanced algorithm for structured light classification
• Manage the project's progress
• Write the academic paper (journal and conference)
• Write the research funding proposal

Job Requirements:

• Bachelor’s degree in AI for Science or related field
• At least 3 years of relevant experience in technical hands-on experience with AI for Nanophotonics
• Familiarity with structured light, generative AI models.
• Good written and oral communication skills
• Proficiency in FDTD simulation, PyTorch, and Python Programming
• Ability to work independently / develop solutions under strict timelines
• Entry-level candidates are welcome to apply

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.

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Nearest MRT: Caldecott
Contract Duration: 12 Months

Working Hours: 8.30am – 6pm (Mon – Thu), 8.30am – 5.30pm (Fri)
Basic Salary: $2,980 per month

Job Responsibilities:

· Managing research projects and processes.

· Monitoring local and international social and family research developments

· Liaising with internal and external stakeholders

· Planning and executing research-related meetings and events

Job Requirements:

· Bachelor’s Degree in Psychology, Psychological Sciences, Social Sciences or other relevant discipline

· Background understanding and/or keen interest in social and family policy

· Familiarity with social research methods (qualitative and/or quantitative) would be a strong advantage

· Familiarity with graphic design software (e.g., Adobe Illustrator) would be a plus

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

Interested candidates, please forward a copy of your resume to: [email protected].

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

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

Job Description

We are looking for a highly-motivated research scientist to work on exciting projects in Cybersecurity (AI for Cybersecurity). Need Strong programming skills and familiarity with Cybersecurity and Artificial Intelligence.

Successful candidates will have the opportunity to work with a world-class interdisciplinary team comprising malware, networking, cybersecurity, machine learning, and deep learning experts. Research scientist will also work closely with industry partners and interact with them to understand their real-world needs. The successful candidate will also engage in project scoping with industry companies to develop a solution to address cybersecurity enterprise application needs.

We are looking for candidates with the following key soft attributes:

• Ability to learn
• Willingness to learn
• Strong interest in cybersecurity domain

Job Requirement

• PhD degree in Computer Science, Computer Engineering, Information Technology or related fields, Knowledge or experience in cyber security, network security, system security using Artificial Intelligence
• Knowledge or experience in cybersecurity, network security, or system security using AI
• 2-3 years of working experience in related research areas is a plus
• Publications in top-tier security venues (IEEE S&P, NDSS, USENIX Security, ACM CCS) are expected
• Proficient with DL programing frameworks in Python
• Strong interest in AI for Cybersecurity
• Ability to work independently, as well as in teams - highly desired
• Ability and willingness to learn and adapt - highly desired
• Good team player with both research and engineering ethics
• Good interpersonal skills and communication skills for proposals, reports, and publications

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

A Research Officer position is immediately available at the Stem Cells and Diabetes Laboratory. Dr Adrian Teo's laboratory is interested in leveraging on stem cell technology to study mechanisms underlying diabetes and metabolic diseases. Reference: www.adrianteolab.com.

Qualifications / Requirements:

• Degree in Biological Science and Life Science disciplines or equivalent
• Deep commitment and interest in research, demonstrated from previous research experience
• Minimum 6 months prior research experience in the Biomedical field
• Experience with mammalian cell culture and molecular biology techniques
• Experience with animal work and surgical techniques
• Experience with mammalian stem cell work will be valued
• Excellent organizational and interpersonal skills
• Highly motivated, passion for science, committed to laboratory work and able to work flexible hours
• Ability to multitask, work independently and also as part of a team
• Excellent communication (verbal and written) and presentation skills
• Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, Mass Spectrometry and bioinformatics will be valued

Interested candidates are invited to send a brief cover letter detailing research motivation, curriculum vitae, and the names and email addresses of referees.

Nanyang Technological University’s ANT Group – NTU Joint Lab is a collaboration between ANT International and NTU. The partnership will explore privacy-preserving methods for large language models (LLMs) and will be overseen by a joint research committee.

We are looking for a Research Engineer II to involved in research and development collaboration with industry, on AI Safety and Trust Technology, especially on the topic of applying fully homomorphic encryption in privacy-preserving machine learning. The successful applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models.

Key Responsibilities:

• Research and development of trust technologies such as privacy-preserving machine learning which are important components of digital trust platforms.
• Be involved in privacy-preserving machine learning and fully homomorphic encryption system development and implementation.
• Assist in preparation of reports and scientific papers.

Job Requirements:

• Master’s degree in computer science, mathematics, information theory or related field
• Participation in privacy, security, and trust related conferences and journals
• Good programming skill, preferably with experience in implementing cryptographic algorithms.
• Be familiar with the following programming languages: C/C++
• Good communication skill, self-motivated, and could deliver under tight schedule

We regret to inform 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 research assistant will report to the PI and work closely with the research team and various stakeholders. The responsibilities include, but are not limited to the following:

• Literature review: Conducting reviews of existing literature to further develop the study design and perform comparative analyses.
• Data collection and management: Assisting in gathering data through surveys and interviews.
• Conducting qualitative interviews: Assist in developing interview guides and protocols. Conduct in-depth interviews with research participants. The research assistant will receive training from the PI and other qualitative researchers prior to commencement of interviews.
• Analysis and Reporting: Assist in coding and analyzing qualitative data using software. Identify themes, patterns, and insights from data.
• Preparation of manuscripts and presentations: Contribute to the preparation of reports, presentations, and publications.
• Data management and analysis: Organizing, recording and analyzing data to ensure accuracy and relevance to research questions.
• Administrative support: Coordinating logistics, for example scheduling, communications with participants and collaborators and managing project timelines.

Any other duties that may be assigned by the PI from time to time to meet the needs of the research project.

Qualifications

• Education: Bachelor’s degree (or higher) in social sciences, public health, psychology, anthropology, or a related field. Diploma holders with relevant research experience may be considered.
• Work experience: Prior work experience (at least 1 year) and familiarity with qualitative research methods and best practices is preferred. This includes but is not limited to conducting interviews, transcribing, thematic analysis and grounded theory research. Candidates without experience are welcome to apply.
• Other skills and requirements:

Excellent verbal and written communication skills.

Strong interpersonal skills with the ability to engage respectfully and constructively with research participants and stakeholders.

Good time management skills.
Ability to work independently as well as within a team.

Proficiency with qualitative analysis software (e.g. NVivo), or willingness to learn.
Highly detail-oriented with strong attention to detail.
Proactive and eager to acquire new knowledge and skills.

The Media Operations team develops solutions for media companies by creating scaled systems to address the issues impacting their experiences with the suite of products. Our Music Partner Operations team is committed to providing support for music content partners inclusive of the specific needs of the industry.

We are seeking a Music Content Operations Research Analyst to support global operations functions for music publishers and collection societies. Candidates will be data driven and flexible to frequent changes. They are expected to think creatively about ambiguous issues and are passionate about problem-solving. They will also be able to work successfully across teams and regions.

Responsibilities

• Manage day to day ongoing operations with music publishing and label partners
• Develop workflows for monitoring publishing data, music content and provide scalable solutions for issue identification and resolution
• Build visual reports to track publisher metrics and trends
• Communication with partners with regard to onboarding specifications and data delivery, including general documentation
• Partner closely with cross-functional teams – including commercial partnerships, legal, product, and engineering - to scale operations support workflows across teams
• Develop a deep expertise in music rights management products and how they are being used across constituent groups
• Partner advocate for contractual rights-based decisions and actions

Requirements

• Music or media industry research background, preferably with record label, music publisher, complex DSP or UGC platform experience
• Manage some day to day data ownership operations with publishing and label partners
• Develop an understanding on music rights management products with an eye on operational, system and process improvement
• Understand sensitivities around IP policy, processes, and products
• Knowledge of copyright and music licensing
• Knowledge of digital rights management products, especially for music

Minimum Qualifications

• 3+ years of experience in music account management, product management, online operations, consulting, or data analytics
• Technical operations capacity (i.e. advanced querying, data fluency, read/write specs, troubleshoot data issues, scripting, etc., proficient in both SQL and Excel)
• Excellent communication skills and the ability to work cross-functionally, both internally and externally
• Knowledge of copyright and music licensing
• Knowledge of digital rights management products, especially for music

Day to day:

• Resolve issues via Cases tool with partners (labels and publishers, collection society) - troubleshooting on content or UGC (user-generated content)
• Troubleshooting – errors in content ingestion (capturing company data)
• Educating partners on how to deliver content
• Educating them on how music is used in our products
• Content ingestion – manipulating big data, running queries (most queries are written)
• Maintaining team wiki
• Ensuring quality of music content in platform – evaluate whether content are deemed legible according to organisation policies
• Reporting – Accuracy of publishing usage reports delivered (quarterly)

We regret to inform that only shortlisted candidates will be notified

EA Reference: R22104900 Chloe Zheng Qimei

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544