909 Research Roles jobs in Singapore

• Conduct cutting-edge research to hetero-design / chiplet-based systems, with a focus on security of components and interconnects across chiplets.
• Focus on new IC design concepts for embedded ARM and RISC-V architectures.
• Investigate various aspects of system design, including:
  Topology exploration, routing algorithms, protocol and flow control design
  Chiplet oriented and interposer design strategies, SiP and chiplet architecture
  Fault tolerance, robustness and reliability
  Functional / Cryptographic agility in hardware
• Prototype and design new architectural innovations, including chiplet oriented architectures and NoC (Network-on-Chip) enhancements with a focus on long-term security, integrated hardware security functions, hardware root-of-trusts (RoT) and cryptographic agility
• Knowledge and/or experience in using some of tools such as Xilinx Vivado, Cadence Virtuoso, Synopsys, etc.
• Contribute to long-term research strategy, white papers, and vision documents.
• Publish high-quality research in top-tier conferences and journals

• PhD or equivalent in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.
• Strong background in IC front-end design, interconnection networks and security architectures is a must.
• Demonstrated research expertise in one or more of the following areas:
  IC Front-end Design, Chiplet design, Heterogeneous Integration
  Cryptographic Hardware Engineering
  System-level modelling and simulation
• Proven publication record in relevant peer-reviewed venues.
• Excellent analytical, problem-solving, and system-level thinking skills.
• Strong verbal and written communication skills, and the ability to work both independently and collaboratively in a cross-disciplinary team

• Integrate and analyze large-scale multi-omics datasets (genomics, transcriptomics, epigenomics) to derive biological insights
• Apply statistical and machine learning models to identify cancer risk biomarkers
• Integrate clinical, environmental, and lifestyle data to create predictive risk models
• Develop and implement computational pipelines for analyzing next-generation sequencing (NGS) data (whole genome, exome, RNA-seq).
• Work closely with clinicians, geneticists, and wet-lab researchers to interpret findings
• Contribute to scientific publications, presentations, and grant applications
• Ensure proper handling, storage, and security of genomic and clinical data. Adhere to ethical, regulatory, and institutional guidelines for genetic data analysis

• PhD degree in Computational Biology, Bioinformatics, or a related field
• At least 2 years of experience in analyzing large-scale genomics datasets. Experience with NGS pipelines and multi-omics integration
• Familiarity with cancer genomics and functional interpretation of genetic variants
• Proficiency in Python, R, or other bioinformatics languages
• Knowledge of cloud computing, and high-performance computing (HPC) environments
• Strong ability to present findings and collaborate across disciplines

Prof. YAN Shuicheng from the Learning and Vision Lab at the School of Computing, National University of Singapore is exploring e-AGI: Efficient, Embodied, and Evolving. We are seeking creative Senior Research Fellows to join our team and drive breakthrough research. This position offers a unique opportunity to develop novel computational architectures for foundation models, explore embodied AI approaches, and pioneer self-improving methodologies that push the boundaries of intelligent systems.

Key Responsibilities:

• Lead groundbreaking research in AGI with a focus on the e-AGI paradigm.

• Collaborate with an interdisciplinary team to produce influential publications in premier conferences and journals, significantly impacting the AGI community.

Job Requirements

• Demonstrated expertise in AGI research through previous roles in academia, industry, or government research labs.
• A Ph.D. in Computer Science, Statistics, Applied Mathematics, Data Science, or related fields is highly desirable.
• A strong publication record as a first author in top AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or contributions to high-impact journals such as Cell, Nature, and Science.
• Proficiency in differentiable programming frameworks such as PyTorch, TensorFlow, and JAX.
• A proven track record of high-impact research with multiple papers garnering 100+ citations is preferred.
• Recognition through best paper awards or similar accolades at leading conferences is preferred.
• A strong record in international academic competitions is preferred.

• Literature review of SOFCs and the preparation methods
• Synthesis, fabricate and evaluate the performance of SOFCs using ammonia as a feedstock
• Perform material characterization of the SOFC cells
• Perform studies to understand the fundamental mechanism and reactions in the SOFCs
• Prepare reports and presentations for meetings, progress reports and conferences
• Any other tasks as requested by the Investigator

• PhD in engineering or relevant discipline
• Demonstrated strong knowledge in the field of solid oxide fuel cells with publications in scientific journals
• Preferably with experience in fabricating solid oxide fuel cell stack
• Able to work independently to achieve the research milestones and tasks given
• Good proficiency in English for research purposes

• Development of algorithms to improve memory/sample/time efficiency of LLM training.
• Development of a workable prototype system with capabilities such as conversational information retrieval, multimodal sense making, question answering, and chain-of-thoughts.
• Publication of papers in top tier conferences and journals
• Collaboration with team members and funding agency to ensure timely and quality deliverables.
• Co-supervision of MSc and Final Year Project students involved in this project.

• Bachelor/Master/PhD in Electrical and Electronic Engineering/Computer Engineering field in computer science, or related field.
• Strong expertise in natural language processing (NLP) and large language models (LLM)
• Over 1-year research experience in the above required areas
• Excellent publication track record on top tier conferences/journals
• Proficiency in programming language Python
• Excellent verbal and written communication skills

• Development of algorithms to improve memory/sample/time efficiency of LLM training.
• Development of a workable prototype system with capabilities such as conversational information retrieval, multimodal sense making, question answering, and chain-of-thoughts.
• Publication of papers in top tier conferences and journals
• Collaboration with team members and funding agency to ensure timely and quality deliverables.
• Co-supervision of MSc and Final Year Project students involved in this project.

• Bachelor/Master/PhD in Electrical and Electronic Engineering/Computer Engineering field in computer science, or related field.
• Strong expertise in natural language processing (NLP) and large language models (LLM)
• Over 1-year research experience in the above required areas
• Excellent publication track record on top tier conferences/journals
• Proficiency in programming language Python
• Excellent verbal and written communication skills

• Participate in conducting research projects with team members to ensure completion of deliverables
• Produce high quality reports and documents that consolidate research findings
• Develop a bespoke photo(electro)catalytic characterisation setup and protocols for product analysis
• Maintenance of equipment and supplies that include procurement and liaison with suppliers
• Work together with internal and external collaborators on sustainable technologies
• Daily mentoring of junior group members

• PhD degree in Materials Science, Chemistry, Chemical Engineering or related fields
• Proficiency in perovskite device/oxide photoelectrode fabrication, or nanoparticle photocatalyst/quantum dot/nanocrystal synthesis is essential
• Expertise in photo(electro)catalytic experiments, catalyst synthesis, organic and gas product analysis (gas chromatography, NMR, HPLC) is highly desirable
• Expertise in 3D CAD rendering, reactor engineering or organic synthesis is desirable but not essential
• Competency in data analysis, plotting and interpretation, manuscript drafting
• Ability to work independently and in a team, excellent organizational and time management skills