The Singapore University of Technology and Design (SUTD) is offering position for research assistant who will work closely with Dr. Meixia Lin working on various projects about Numerical Optimization, Convex and Non-Convex Optimization, Optimal Transport, Machine Learning, and others.

Priority will be given to those who have some computational experience.

One Research Assistant

Period 1: 31 January – 21 February 2025 (16 mandays)

Period 2: 26 March – 11 April 2025 (12 mandays)

Up to max of 168 hours of work over the two periods.May not be expected to work every weekday

Mondays to Fridays, 9:30am to 4.30pm, 1 hour break. Not required on Sats, Suns and gazetted PH.

Use IT tools to automate data collection processes for a research study (e.g., using macros in Microsoft Office applications such as Excel and Word):

• Generate administrative forms, reports and other materials to be sent to schools;

• Collate and check data submitted by schools;

• Communicate and clarify with schools on data submission.

May also be required to perform other administrative tasks.

RA should be meticulous and strong in IT skills. He/she must be able to use IT tools to automate data collection processes (e.g., using macros in Microsoft Office applications such as Excel and Word).

Place of work - MOE North Buona Vista Drive, must be able to commit to work for the 2 periods.

Salary: 20 per hr.

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 project aims to realize ferromagnetic twistronic devices for high frequency control of magnetic, electronic, and optical properties. The job will involve fabrication of ultraclean samples in controlled environment, and their characterization using magnetic, optical, and electrical methods.

Job Requirements

The job requires experience in realizing scientific projects based on fabrication and characterization of functional devices. Solid foundation of laboratory work and performing work in a highly collaborative environment is necessary. The candidate needs to exhibit excellent organization skills and ability to efficiently progress with research objectives. This needs to be based on independent, critical thinking and problem solving skills.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Associate.

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 #6 for 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 looking for a highly motivated candidate to join our team as a Research Associate.

Key Responsibilities:

• Develop LLM-based techniques for spatiotemporal data mining
• Collaborate with fellow researchers to design advanced algorithms and theories.
• Publish academic papers or patents.
• Guide and support associated students.
• Participate in and contribute to pertinent meetings
• Design, implement and test AI models for the project.
• Write reports and papers.

Job Requirements:

• Master degree in computer science or related fields of study
• Solid knowledge in graph algorithms and machine learning models
• Practical experience of dealing with spatiotemporal data
• Good communication and presentation (oral and written) skills (in English)

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The key objective is to support efforts to excellence in providing advanced education, spearheading groundbreaking research, and delivering unparalleled professional services.

We are looking for a Research Associate to enhance the blast resistance of precast structures and analyze progressive collapse in flat slab systems. The role will focus on creating safer and resilient environments, addressing critical challenges, such as structural safety and resilience, and contributing meaningfully to our overarching commitment to protect communities and foster innovation in construction safety.

Key Responsibilities:

• Conduct research and perform in-depth analyses to improve blast resistance in precast structures and assess the risk of progressive collapse in flat slab systems.
• Develop and implement innovative methods and solutions to enhance building safety and structural resilience.
• Collaborate with interdisciplinary teams to design, test, and optimize new materials and construction techniques.
• Provide expert guidance on blast mitigation strategies and progressive collapse prevention in project planning.
• Ensure project compliance with safety standards while contributing to the university’s mission of fostering innovation and protecting community welfare.

Job Requirements:

• Master’s degree in Civil/Structural Engineering or related field
• Knowledge of blast effects on structures and progressive collapse analysis
• Familiarity with blast resistance safety standards
• Good written and oral communication skills
• Experience with precast concrete structure design and analysis
• Proficiency in structural analysis software and CAD.
• Competent in analytical, problem-solving, and communication skills

We regret to inform that only shortlisted candidates will be notified

The Nanyang Business School (NBS) is recruiting a Legal Research Associate in the area of AI, data protection and data privacy law, technology law, health law and cybersecurity law and practice.

Key Responsibilities:

• Assist in primary legal research on databases such as Lexis-Nexis, HeinOnline etc
• Collate research materials found, inclusive of preparing summaries of research materials which involves reading and drafting written summaries of regulatory materials, legal judgments, and secondary materials
• Formulation and development of data governance practices and frameworks
• Implementing empirical research
• Other research administrative tasks

Job Requirements:

• Bachelor of Law degree or Juris Doctor from a good University, with experience in research and/or AI law and regulation and/or in data protection law
• Strong communication and interpersonal skills with leadership potentional
• Organised and meticulous
• Capable of following instructions meticulously
• Team player and able to work independently
• Solid understanding of technology is an advantage

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 Engineer will be involved in developing computer models for assessing climate change impacts on marine ecosystems. He/she will also be involved in collecting field data for calibrating and validating model systems. In addition to the above, the Research Engineer is expected to also participate actively in research meetings, present research findings, write reports and research papers.

Job Requirements

• Possess at least a good Bachelor’s degree in Civil and/or Environmental Engineering or equivalent.
• Experience in computational modelling in environmental engineering or climate change is preferred.
• Open to fixed term contract

Department: Healthcare Redesign
Contractual Period: 1 year (Subjected to extension)

Job Responsibilities

• Reporting to the Research Fellow in charge, under the supervision of Research Fellow and Principal Investigator (PI)
• Assist in literature review, IRB submission, coordinate recruitment, data collection in quantitative and qualitative studies, data entry and analysis.
• Liaise with the relevant personnel in hospital / Polyclinics to ensure smooth running of recruitment and data collection
• Be involved in subject recruitment, scheduling and data entry. Screen patients based on study eligibility, and communicate the study aims to potential subjects in layman terms.
• Obtain consent taking, administer study questionnaires and follow-up on study participants.
• Work closely with research team, clinicians, clinic staff and other relevant internal departments to ensure research study needs are met.
• Able to work on tight timelines, set sensible targets and achieve research deliverables.
• Conduct qualitative interviews and data analysis.
• Perform data cleaning and quantitative data analysis.
• Responsible for maintaining strict adherence to research protocols i.e., HBRA.

Requirements

• Master’s / Bachelor’s degree in Science/ Public Health/ Social Scienc
• Preferably with some experience in research
• Able to adapt in a fast-paced environment, with a strong focus to meet research deliverables and targets.
• Strong interpersonal and communication skills. Leadership and accountability to tasks is very desirable.
• Able to work independently, as well as in a team.
• Meticulous, well-organized and able to multi-task
• Ability to work in an interdisciplinary environment with different groups of stakeholders.
• Bilingual preferred (fluent in Mandarin/Malay/Tamil).
• Willing to travel between the Hospitals and external study sites as part of his / her work.
• Knowledge of Good Clinical Practice (GCP) guidelines and the Human Biomedical Research Act (HBRA)

Software Proficiency (Either or all)

• Experience with Python libraries (Pandas, NumPy, SciPy, Matplotlib, Seaborn)
• Experience with Natural Language Processing (NLP) Libraries (NLTK, spaCy, Gensim, TextBlob, VADER, Stanford NLP, Flair, Hugging Face Transformers)
• Knowledge of Machine Learning Algorithms (Understanding of supervised/unsupervised algorithms, experience with Scikit-learn, TensorFlow, PyTorch)
• Understanding of Sentiment Analysis Techniques and Text Preprocessing
• Knowledge of lexicon-based and machine learning-based sentiment analysis approaches.
• Experience with other relevant Python libraries for sentiment analysis, such as Keras, XGBoost, and LightGBM.
• Familiarity with Text Mining Tools - Experience with text mining techniques and tools (RapidMiner, KNIME).
• Familiarity with Cloud Computing Platforms - Experience with AWS, Google Cloud, or Azure; containerization with Docker.

Interested applicants, please feel free to reach out to us at my email address [email protected]

EA Reg No.: R1436439 | EA Licence: 17C8713

**We regret to inform only shortlisted candidates will be notified

Job Description:

Be part of an exciting Team working on cutting-edge advanced packaging process technologies. Partner and work with various FAB users, to always enable smooth operations and develop packaging solutions and taking the solutions from concept to production. Responsibilities will also include assisting in operations support in FAB clean rooms to make sure all rounded supports are provided.

This position is based in Singapore.

Responsibilities:

• Looking for a reliable, agile, and professional individual.
• Oversee the Team spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings, raise purchase requests accordingly.
• Take charge and provide day to day supports in all logistics needs and initiate material/spare parts procurement when required to ensure smooth Fab operations.
• Accountable for the inventory movements required to enable smooth lot operations across IME Premises.
• Follow through the orders from the start of purchase till delivery and to ensure that goods are delivered are on time.
• Work seamlessly with various stakeholders to provide logistics support and deliver inventory on time.
• Work towards and employ critical thinking, put-up good initiatives to move forward to digitalization.
• Ability to work in a multi-task environment.

Experience:

• Education: Diploma in engineering discipline. Preferably in supply chain logistic/ warehouse operations.
• At least 2 years of warehouse operations.
• Preferably some experience in semiconductor / manufacturing environment, with good wide contacts with semiconductor material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.

As a Sr. Clinical Research Associate, you will be joining the world’s largest & most comprehensive clinical research organisation, powered by healthcare intelligence.

You will be partnering with a well-known global pharmaceutical company with a strong portfolio in cancer, cardiovascular, gastrointestinal, infection, neuroscience, respiratory and inflammation medicines.

You will have an opportunity to work in a solid partnership and an environment driven by innovation and continuous improvement. This program is for you if you are looking for an environment where people feel they belong and are empowered to reach their full potential, perform at their best and make a valued contribution to saving lives.

What you will be doing:

• Perform all aspects of CRA duties from site selection, site initiation, through to site routine monitoring visits through to close-out visits and database lock.
• Contributes to Case Report Form (CRF) design and clinical trial document development as they pertain to clinical monitoring activities (i.e., operating manuals, monitoring guidelines, etc.);
• Involved in recruitment of potential Investigators, preparation of Independent Ethics Committee/ Independent Regulatory Board (IEC/IRB) submissions, notifications to regulatory authorities, translation of study related documentation, organization of meetings and other tasks as instructed by the Project Manager.
• Negotiates investigator budgets and assists with the execution of site contracts with support from the legal department.
• Oversees all aspects of study site management to ensure high quality data resulting in consistently low query levels and in good Quality Assurance reports.

You are:

• Degree in Pharmacy or any related course.
• 4+ years prior monitoring experience with global trials.
• Experience with clinical trial set up and contract negotiation preferred, but not essential.
• Excellent knowledge of international guidelines ICH-GCP, basic knowledge of GMP/GDP, good knowledge of local regulations.
• Good understanding of Clinical Study Management including monitoring, study drug handling and data management.

Why ICON?

At ICON, we embrace new perspectives and empower our people to write their own paths forward. We are a culturally diverse company with over 40,000 talented and ambitious people with varied skills, perspectives & backgrounds working together across 40 countries.

Our success depends on the knowledge, capabilities and quality of our people. That’s why we are committed to developing our employees in a continuous learning culture – one where we challenge you with engaging work and where every experience adds to your professional development.

At ICON, our focus is to provide you with a comprehensive and competitive total reward package that comprises, not only an excellent level of base pay, but also a wide range of variable pay and recognition programs. In addition, our best in class employee benefits, supportive policies and wellbeing initiatives are tailored to support you and your family at all stages of your career - both now, and into the future.

ICON, including subsidiaries, is an equal opportunity and inclusive employer and is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please let us know.

Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles.

Job Description

We are looking for talented wet-lab Research Fellow to work with a multidisciplinary group of scientists on the discovery of new targets for therapy in Diabetic Nephropathy (DN), a devastating complication of diabetes causing significant morbidity, mortality and human suffering. In Singapore, the incidence of DN as a cause of end-stage kidney disease is among the highest in the world. The job will be part of the NMRC-funded project called Diabetes Study in Nephropathy and other Microvascular Complications II, and it will be based within the Centre for Computational Biology (CCB). This position will be for a period of 3 years, with possible extension depending on work performance and funding availability.

The selected candidate will perform a variety of research activities, which include planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following:

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in a related scientific area (e.g., Life Sciences/Biomedical Sciences, Pharmacology). Candidates with higher credentials may be considered for Senior Research Fellow appointment.
• Hands-on experience with transgenic models (breeding and maintenance) and surgery.
• Experience with rodents (mice/rats) phenotyping, including metabolic traits, biochemistry, histology and microscopy.
• Hands-on experience with wet-lab techniques in molecular and cell biology, including familiarity with primary cell cultures and inflammatory and metabolic cellular assays.
• Possess knowledge and experience in pharmacology and pharmacokinetics.
• Have a system-level understanding of human cardiometabolic pathology.
• Proven track record in the form of peer-reviewed research publications.
• Demonstrated capability of research independence progressively.
• Possess strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description

The Duke-NUS Cancer and Stem Cell Biology (CSCB) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special emphasis on cancers that affect the Asian community in general.

The selected candidate will play a key role in a natural products-based drug discovery program. He/she will work both independently and collaboratively to analyse complex natural products using NMR and mass spectrometry, including metabolomic profiling to identify potential molecular targets and mechanisms.

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Source financial support for research activities by investigating potential sources of funding, collaborate with Principal Investigator to write and revise grant/fellowship applications.
• Provide guidance and mentorship to junior researchers.
• Ensure optimal progress of experiments in the laboratory by conducting, supervising, and evaluating laboratory procedures and outcomes. Revise and analyse targets to obtain high-quality and reproducible results.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Chemistry, Chemical Biology, or related discipline with 2 years of relevant post-doctoral experience.
• Demonstrate general expertise in the field of natural products isolation, metabolomics, and global profiling.
• Strong NMR and mass spectrometry skills in compound characterisation.
• Familiar with database and networking platforms for dereplication (e.g., GNPS).
• Proven track record in the form of high impact publications.
• Strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description

The Cardiovascular and Metabolic Disorders (CVMD) Programme at Duke-NUS houses state-of-the-art technologies for profiling mitochondrial function and metabolic adaptations in model organisms and undertakes translational research in cardiovascular and metabolic disorders. The program has a strong track record of publication in top-tier journals, successful commercialisation efforts leading to spin-offs, as well as nurturing early career researchers into independent academic or industry positions.

Metabolic dysfunction-associated steatohepatitis (MASH) is a severe metabolic liver disease that can affect up to 6.5% of the adult population, with only one FDA-approved drug. Dr. Jin Zhou’s team is specialised in studying the novel molecular pathogenesis underlying MASH for the identification of new druggable targets. The lab uses a combination of biochemistry, genetics, animal modeling, and metabolomics approaches to understand cellular processes related to mitochondrial function and hepatic lipid metabolism.

We are looking for a highly self-motivated Research Fellow to join the team. The selected candidate will perform a variety of research activities, including but not limited to the following:

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Maintain accurate and complete records of all findings and ensure the validity and reliability of data at all times.
• Present research outcomes orally, and draft research abstracts and manuscripts for publication.
• Provide guidance and mentorship to undergraduate/medical students and research assistants.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in Biomedical Sciences, Molecular Biology, Cell Biology, Pharmacology, or related disciplines.
• Hands-on experience with mice models, as well as wet-lab techniques in molecular and cell biology. Prior experience in polysome and/or ribosome profiling would be advantageous.
• Proven track record of academic publications, including writing/drafting first-author papers.
• Demonstrate excellent communication, technical independence, and analytical and problem-solving skills.
• Self-motivated individual, enthusiastic to take initiative, and able to work independently and collaboratively in a team.

We regret that only shortlisted candidates will be notified.

Job Description

• Industry/ Organization Type: Chemical Manufacturing
• Position Title: Research Officer (R&D)
• Working Location: Central
• Working Hours: Monday to Friday (8.45 AM – 5.30 PM)
• Salary Package: Basic Salary up to $3,800 + AWS + Bonus + Transport Allowance + Flexible Benefits
• Duration: Contract (3 years – Renewable)

Key Responsibilities

• Develop new technologies for molecular and immunological assays.
• Integrate assays into prototype medical devices.
• Handle ordering and payment using the SAP system.
• Ensure that all assays and processes meet stringent quality standards and regulatory requirements.
• Analyze experimental data to draw meaningful conclusions and make recommendations for further research.
• Work closely with cross-functional teams, including R&D, production, and quality assurance, to ensure seamless integration of new technologies.
• Adhere to all safety protocols and guidelines to maintain a safe and compliant work environment.
• Identify areas for process improvement and implement changes to enhance efficiency and effectiveness.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Bachelor’s Degree in Life Sciences, Microbiology, Molecular Biology or relevant discipline
• At least 1 year of relevant research or laboratory R&D experience
• Experience in assay development is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #68611 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

The School of Physical and Mathematical Sciences (SPMS) of NTU is an exciting environment for research. The Yong research group works on novel problems in biological and complex systems and has published many high impact papers in top scientific journals such as Science, PNAS, Phys. Rev. Lett., etc.

Our approach is highly interdisciplinary, using emerging state-of-the-art methods from mathematics, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social networks, financial markets, etc., in order to understand their behavior, pattern and interaction.

Understanding the structure-function relationships of biomolecules is an active area of research due to its fundamental importance in biology, physics, and engineering. The emerging field of Mathematical AI for Molecular Sciences is proposed for molecular representation, featurization, and learning. We are interested in developing physical models using graphs, simplicial complexes for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruplex. The results from the research will provide key insights to understanding the structure-function relationships of biomolecules.

The Yong research group is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research that can be published in high impact journals. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing.

The Research Fellow is expected to perform state of the art numerical simulations using computing resources from National Supercomputing Centre (NSCC) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations.

Key Responsibilities:

• Utilize recently developed mathematical tools from algebraic topology, combinatorial topology, computational topology, and differential geometry (e.g., Betti numbers, Hodge-Laplacian, discrete Ricci curvature) to characterize and model biopolymers such as DNA and RNA.
• Develop simplicial models for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruple, to better understand form-function relationship in biology.
• Use molecular modeling and AI (using e.g., the SMILES protocol) to quickly and accurately assess compounds with Essential Physicochemical Properties for drug design and development.
• Translate research findings into practical applications in pharmacology.
• Perform numerical simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• PhD from a reputable university, preferably in physical sciences or STEM related field.
• Good publication track record.
• Strong background in artificial intelligence and biochemistry with prior experience in numerical simulations.
• Expertise in numerical simulations, and the ability to code and run simulations on deep learning workstation/supercomputers clusters.
• Able to think and work independently and have the aspiration to perform high quality research that can be published in high impact journals

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

Join our physician-led cutting-edge metabolomics lab as a Bioinformatics Expert and help us make an impact in the world of precision medicine.

We are a dynamic research lab at the forefront of metabolomics, dedicated to advancing knowledge in metabolic pathways, biomarker discovery, and personalized healthcare. Our interdisciplinary team collaborates with both Singapore based and global institutions. We offer opportunity to work on innovative projects with a collaborative team and a patient-centric focus with access to state-of-the-art facilities and resources.

Main Duties and Responsibilities

Key Responsibilities:

• Develop and implement data extract, transform, and load (ETL) pipelines for metabolomics data (mainly LC-MS/MS based metabolomics).
• Perform data integration from multi-omics platforms (genomics, transcriptomics, proteomics).
• Apply statistical and machine learning techniques (preferably explainable models) for biomarker discovery in large clinical dataset.
• Maintain and update databases and in-house analytical tools for metabolite identification and pathway analysis.
• Lead or significantly contribute to successful collaboration in clinical cohort research.
• Derive clinically actionable insights from data patterns.
• Collaborate with biologists, chemists, and clinicians to interpret results and publish findings.

Admin:

• Assist the professor in writing grants & manuscripts for higher impact journals.
• Assist with ethics submissions.
• Attend meetings with the primary investigator and team members.
• Liaise with multi-national collaborators for commercialization and validation of our discoveries.

Qualifications

The applicant Must:

• Ph.D. or Master’s in Bioinformatics, Computational Biology, or related field.
• Proficiency in R, Python, and/or bioinformatics tools for metabolomics.
• Ability to build custom applets/scripts for data analysis.
• Ability to thoroughly explore large data sets (up to ~PB scale), derive hypotheses, and adjust analysis dynamically.
• Experience in database query (e.g. KEGG, Ensemble, HMDB, wikipathway).
• Awareness of data standards for clinical research and statistical analysis (e.g. EQUATOR Network)
• Strong analytical and communication skills.
• Experience in and/or knowledge of medical data, clinical processes or trials
• Experience in constructing clinical risk prediction models for biomarker research will be a plus.
• Experience in translating conceptual algorithms to implementable code will be a plus.
• At least 2 years of relevant research experience and prior publications will be preferred.

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.

About ByteDance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the Chinese market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim to achieve every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

About the Team

Our NLP team focuses on natural language generation, improving the reasoning ability of language models, such as machine translation, natural language generation, etc. We invite researchers and engineers in machine learning and natural language processing at all levels. We aim at pushing the limits of machine intelligence.

Responsibilities

- Build multilingual multimodal large language models, multilingual translation, end-to-end speech/video cross-lingual translation large language models, text generation, and other core natural language processing algorithms.

- Building basic NLP components for different application scenarios.

- Cutting-edge NLP algorithm research and applications on our products.

Qualifications

Minimum Qualifications

- Minimum Master's in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or other relevant fields

- Experiences and strong skills in the development of technologies in some of the following areas: natural language generation, machine translation, large-scale pre-training, reinforcement learning, etc

- Strong analytical and problem-solving skills.

- Proficiency in computer science and coding skills.

Preferred Qualifications

- Candidates with top conference papers or influential open-source projects are preferred.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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 Associate in the Department of Computer Science, School of Computing (SoC). 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 largescale experimental systems and improving the wellbeing of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Associate will be responsible for working closely with the Principal Investigator on one or more research projects. He/she should possess relevant experience in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• Master’s degree in Computer Science or related field
• At least 2 years of research experience
• Excellent programming skills

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...

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a research fellow for the project on ultraprecision fabrication of functional components with additive manufacturing and micro-scale surface treatment. The candidate is required to conduct design and manufacture of the bespoke fixtures and tooling for post-processing of the 3D-printed geometries to meet the industrial requirements. He/she will also be responsible for reporting and coordinating with our stakeholders and writing technical papers.

Qualifications

Interested applicants are required to possess a PhD degree. He/she should have a good understanding in

1. Ultraprecision machining technology with excellent hands-on experience;
2. A solid background of micro-/nano-scale material removal processes and mechanisms with a good track record of publications;
3. Experienced in metal additive manufacturing and its post-processing methods; and
4. Mechanical and non-mechanical surface treatment and finishing techniques.

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 (SoC). SoC 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 to develop secure, isolated hardware platforms (for small, IoT-style systems) while maintaining efficiency and performance. This is done through the development of novel designs that enable isolation and security, even in the presence of shared hardware resources. He/she should possess experience or interest in at least one of the following research areas:

• Hardware and Systems Security
• Computer Architecture
• Energy Efficient SoC Design
• Simulation Methodologies (Cycle-level Microarchitecture Simulation)

Qualifications

• A PhD degree in a relevant area
• Good publication record
• Experience in research

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 Associate in the Department of Computer Science, School of Computing (SoC). 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 largescale experimental systems and improving the wellbeing of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Associate will be responsible for working closely with the Principal Investigator on one or more research projects. He/she should possess relevant experience in Machine Learning and Security.

Only shortlisted candidates will be notified.

Job Requirements

• Master’s degree in Computer Science or related field
• At least 2 years of research experience
• Excellent programming skills

Job Description

Candidate applying for this position shall research, develop and implement AI robotics to create an intelligent environment in the robotics for autonomous manufacturing.

Roles & Responsibilities

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Conduct technology scouting for industrial robotic applications and automation best practices.
• Perform process mapping and feasibility analysis for robotic processes.
• Develop smart robotic automation options, project proposals, and scoping.
• Engineer and conceptualize robotic processes.
• Program robotic motion using simulation-based techniques.
• Execute the project lifecycle for robotic process development and implementation.
• Prepare technical project documentation and presentations
• Develop and optimize advanced robotic algorithms for perception-guided manipulation.
• Maintain and support software components for manipulation systems.
• Collaborate with hardware engineers to integrate software solutions.
• Create and implement transfer learning models for various machine learning tasks.
• Collaborate with domain experts to tailor transfer learning models to specific business needs.
• Utilize transfer learning to enhance expert skill efficiency and applicability.
• Stay updated on the latest advancements in transfer learning and skill adaptation.

Job Requirements

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimum 2 years of experience in industrial robotic automation development and deployment.
• Expertise in ROS and programming languages like C++, C#, Python, or JavaScript.
• Knowledgeable about Linux platforms and command line operations.
• Deep understanding of robot manipulation and kinematics.
• Proficient in CAD software, especially Siemens NX.
• Strong in industrial and collaborative robot programming.
• Familiarity with offline robot programming software like ABB-RobotStudio, Robotmaster, or RoboDK.
• Experience with machine learning frameworks (TensorFlow, Pytorch, Scikit- Learn, Caffe) and computer vision tools (OpenCV, PCL) is advantageous.
• Skilled in working with diverse datasets and applying transfer learning.
• Proficient in rapid prototyping and constructing neural network models efficiently.
• Strong problem-solving skills and analytical mindset.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

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.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineerto implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 5 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

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.