Job Description

The Visiting Professor(VP) is expected to:

1. Manage and drive one or more translational research projects, design and execute experiments, assimilate and interpret results;
2. Solve scientific problems, think independently, and suggest creative solutions;
3. Write papers together with the PI for publications or patents and collaborations;
4. To provide advice and networking connectivity for the strategic planning and success of Synthetic Biology Translational Research Program;
5. Provide research strategic directions to researchers and mentorship to PI, researchers, postgraduate and undergraduate students.

Qualifications

The applicant should:

1. Hold a PhD in medical science/biological sciences/biochemistry/bioengineering/biomedical sciences or related disciplines;
2. Have extensive knowledge and >30 years’ experience in molecular biology, biochemistry or internal medicine;
3. Have a strong record of publications in international journals;
4. Be passionate about science, self-motivated, naturally take ownership of assignments, and proactively propose solutions to arising issues.

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.

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

Sustainable Bio-platform for High Quality Microbial Protein Production. To perform experimental and simulation work on system integration sand life cycle assessment .

Job Requrements

Ph.D. degree in Chem. Eng. and related research areas.

Experience researcher in chemical, biomedical, and environmental engineering. System integration and LCA background will be desirable.

Recipient of the esteemed International Translational Neuroscience Award, Dr. Yan, a pioneer in Brain Tumor research, joins IMCB to establish the NeuroPhenomics Lab. This lab marks a new chapter in our quest for profound biological insights and their translation into biomarkers and therapies.

The lab"s mission revolves around a profound exploration of brain tumor biology, particularly focusing on key driver mutations like IDH1 and IDH2. These mutations, significant in the development of aggressive malignant gliomas, are pivotal in altering chromatin and genome methylation, thus influencing tumor evolution. The lab extends this research by identifying other genetic alterations with potential clinical relevance.

Dedicated to exploring new frontiers, the NeuroPhenomics Lab integrates advanced techniques in genetics, epigenetics, and metabolomics at both single-cell and spatial levels. This approach allows for a detailed examination of tumor cell diversity and their interactions within the microenvironment. The lab also investigates neurometabolism, emphasizing the TCA cycle and IDH enzymes, and studies how metabolites affect the brain and tumor progression.

Aiming to bridge research and clinical application, the lab"s multi-dimensional strategy includes iPSCs, patient-derived organoids, transgenic models, and advanced imaging technologies. This positions the NeuroPhenomics Lab at the forefront of developing transformative therapies in neurooncology and neurometabolism.

Job Opportunity:

Join the NeuroPhenomics Lab in its endeavor to redefine brain tumor genomics. We seek individuals with a strong background in Computer Science or Bioinformatics, particularly in data analysis, to contribute to our innovative research.

Key Qualifications:

• PhD in Bioinformatics, Computer Science, Biostatistics, or a related field with a research focus.
• Individuals planning to pursue PhD training (at NUS or NTU) are also welcome to apply.
• Expertise in bioinformatics and next-generation sequencing data analysis.
• Experience with Single-cell sequencing and Spatial-omics data analysis is a plus.
• Familiarity with developing AI models for visual recognition of imaging data.
• Experience in applying research to train Large Language Models (LLM) is advantageous.
• Preferred experience in Computer-Aided Drug Discovery.
• Exceptional analytical, technical, and problem-solving skills.
• Ability to work independently and thrive in a dynamic team environment.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking to hire a motivated Research Fellow with background in engineering to work on microfluidic related research. Our lab (http://www.bioeng.nus.edu.sg/nanolab/index.html) is dedicated to microfluidics research with applications in the areas of cancer diagnosis, point-of-care diagnostics, cell based assays and wearable sensor technology. Candidate will have the opportunity to work on these various areas of research and be involved in the design and fabrication of microfluidic devices as well as collaborating with our clinical partners on the testing, validation and possible commercialization of these devices.

Qualifications

Applicant should have:
• PhD degree in chemical engineering, mechanical engineering or biomedical engineering or its equivalent
• Experience in microfluidics research, microfabrication, cell culture, microscopy and image analysis is preferred
• Highly motivated, organized and responsible individual who can work independently as well as part of a team.
• Be prepared to engage in high interdisciplinary research and develop new research directions.
• Ability to help mentor, supervise and train junior staff members and students.
• Proven record of outstanding written, oral presentation and communications skills.
• Excellent skills in project management.
• Ability to work on grant proposals including writing, meeting with collaborators, and reviewing proposal opportunities from government and other sources.
• Open to fixed-term contract.

We are seeking an experienced and dedicated Senior/Lead Network Engineer to join A*CRC Network Group. The candidate will be responsible for the planning, designing, implementing and maintaining the network infrastructure to support organization needs, ensuring reliability, performance and security for A*CRC.

Job Description

• Responsible for the planning, designing, configuration and administration of A*CRC network.
• Ensure continued smooth and optimal network performance for A*CRC services.
• Lead and participate in projects involving internal and external collaborators.
• Perform network evaluation, proof of concepts and provide recommendations.
• Required to develop network and network security related technical specifications for tenders.
• Work on improving processes and automation for network infrastructure.
• Manage daily network operations.

Job Requirement

• A bachelor’s degree in Computer Science/Computer Engineering/Networking or equivalent.
• CCNP certified or equivalent.
• 3 years of working experiences and in-depth understanding of networking technologies (e.g., WAN, LAN, Network Security, DWDM etc).
• Strong knowledge and troubleshooting skills in routing and switching (e.g., BGP, OSPF, VXLAN, MP-BGP EVPN, VRF etc.).
• Experienced in planning, implementing and commissioning of IP network.
• Proficient in managing routers, switches, network firewalls, intrusion prevention systems, vulnerability assessment and Network monitoring systems.
• Working knowlege in Linux environment and scripting language such as python to automate network procedures will be preferred.
• Possess strong analytical, troubleshooting and problem-solving skills.
• Independent mature team player with positive attitude.

We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence (e.g., physics-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please send your resume including a cover letter, CV and a brief statement of your work undertaken in previous work.

The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capita investment in science and technology.

Key Responsibilities:

• Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to physics-informed neural network, transfer learning, and edge intelligence, battery management, etc.
• Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers.
• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.
• Coordinate procurement and liaison with vendors/suppliers.
• Participate in computer science related laboratories and tutorials for undergraduate students.
• Interview and supervise student assistants in the project.

Job Requirements:

• (Research Fellow) PhD in Computer Science or a related field
• (Research Engineer) Bachelor/Master degree in Computer Science or a related field
• Proven ability to conduct independent research with a relevant publication record
• Outstanding data analytics, mathematical, and computer modelling skills
• Excellent interpersonal communication and oral presentation skills in English
• Self-driven and strong team spirit
• Open to fixed-term contract (renewable upon review of satisfactory performance)

Scientist for Advanced Photonics (Photonic Computing and Quantum Computing)

As part of IME’s Photonics & Sensors Department, the candidate will paticipate in various projects for the development of photonic computing, quantum photonics, or other photonic applications. This will include photonic circuit design, characterization, electro-optic integration, and verification of system functionalities. You will work closely with an excellent multidisciplinary team working on photonics, electronics, semiconductor process, integration, and fab operation.

Responsibilities:

• Design of photonic integrated circuits for advanced photonic applications, including but not limited to photonic computing, quantum photonics, etc.
• Development of optical testing platform for advanced photonic applications. This emphasizes on the application-specific testing with multi-channel in, multi-channel out.
• Development of electro-optic testing platform for advanced photonic applications. This focuses on the electro-optic integration and relevant high-speed control interface.
• Verification of electro-optic system functionalities. This emphasizes on the realization of targeted algorithm implemented on photonic integrated circuits, as well as data analysis, trouble-shooting and optimization.
• Preparation of technical presentations and papers for internal meetings, as well as conferences and journals.
• Collaborate with project team to ensure quality and on-time delivery for various projects. You will get a chance to expose to both industrial and academic projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Microelectronics, Opto-electronics, Physics or equivalent.
• Experience in one or more topics listed below is strongly preferred: Photonic computing, quantum computing, LiDar, optical switch array, compute-in-memory.
• Hands-on experience in photonic simulation using various electrical / photonics design software.
• Hands-on experience in photonics and microelectronic testing at circuit level or above.
• Strong communication, industry awareness, and problem-solving skills.
• Strong self-motivation and interest in the next-generation photonics technology development.

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.

As a Scientist, you will be responsible to generate CRISPR/Cas9 mediated edited human embryonic stem cells for ciliary genes, differentiation into airway epithelium, characterisation of ciliary defects, rescue of mutant phenotype with lipid nanoparticle packaged RNA.

Job Responsibilities:

• Use CRISPR/Cas9 gene editing to generate homozygous loss-of-function mutations in DNAI1, CCDC40 and CCDC39 genes in human embryonic pluripotent stem cell line, H9.
• Verify authenticity of the mutants using sequencing of the DNA, cDNA and also using western blotting to ensure loss of the corresponding proteins.
• Differentiate mutant and control cells into airway epithelium and assess the effects on ciliary differentiation and motility using immunofluorescence staining and confocal microscopy as well as video microscopy.
• Examine if lipid nanoparticle encapsulated wild-type RNAs for these genes are able to rescue the ciliary defects using immunofluorescence staining and confocal microscopy as well as video microscopy.

Job Requirements:

• PhD in Stem Cells/ Developmental Biology/ Genetics or other related disciplines.
• Strong research background in embryonic stem cell culture and manipulation, confocal microscopy.
• Proficiency in stem cell culture and gene editing in stem cells using CRISPR/Cas9.

We are seeking an experienced and dedicated Senior/Lead Network Engineer to join A*CRC Network Group. The candidate will be responsible for the planning, designing, implementing and maintaining the network infrastructure to support organization needs, ensuring reliability, performance and security for A*CRC.

Job Description

• Responsible for the planning, designing, configuration and administration of A*CRC network.
• Ensure continued smooth and optimal network performance for A*CRC services.
• Lead and participate in projects involving internal and external collaborators.
• Perform network evaluation, proof of concepts and provide recommendations.
• Required to develop network and network security related technical specifications for tenders.
• Work on improving processes and automation for network infrastructure.
• Manage daily network operations.

Job Requirement

• A bachelor’s degree in Computer Science/Computer Engineering/Networking or equivalent.
• CCNP certified or equivalent.
• 3 years of working experiences and in-depth understanding of networking technologies (e.g., WAN, LAN, Network Security, DWDM etc).
• Strong knowledge and troubleshooting skills in routing and switching (e.g., BGP, OSPF, VXLAN, MP-BGP EVPN, VRF etc.).
• Experienced in planning, implementing and commissioning of IP network.
• Proficient in managing routers, switches, network firewalls, intrusion prevention systems, vulnerability assessment and Network monitoring systems.
• Working knowlege in Linux environment and scripting language such as python to automate network procedures will be preferred.
• Possess strong analytical, troubleshooting and problem-solving skills.
• Independent mature team player with positive attitude.

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 Industry Engagement and Partnerships (IEP) division under the Office of Deputy President (Research and Technology) is seeking motivated professionals with experience in contracts management.

As part of IEP, this role will be responsible to (i) facilitate the negotiation, review and execution of agreements for research collaborations; and (ii) support research collaborations between NUS/ NUS researchers and external parties, including public sector organisations and industry partners.

Duties & Responsibilities

• Negotiate with external parties on research related agreements including but not limited to non-disclosure agreements, memorandum of agreement, project agreements, clinical trial agreements, framework and master agreements.
• Work with legal counsels, grant management and IP management teams to draft, review and finalise research related agreements.
• Advise and assist NUS researchers on research related matters, IP policies and compliance of internal policies for research contracts.
• Where required or necessary, participate/support initiatives to attract research funding from industries and external stakeholders.
• Assist in the optimisation and customisation of automation process for drafting review and finalisation of research contracts using online systems/tools.
• Provide training and consultation to NUS faculties.

Qualifications

• Recognised degree in Engineering or Sciences or Life Sciences or Law.
• Able to demonstrate working knowledge in basic drafting, reviewing, negotiating and management of research related agreements.
• Ability to demonstrate understanding of, or have experience in, working with university research, or intellectual property management or protection will be favourably considered.
• Strong oral, written and interpersonal skills to engage and work with the team, researchers and external parties.
• Adaptable and able to multi-task.
• Meticulous individual and highly motivated and independent self-starter with the ability and flexibility to deal complex business, interpersonal, and intra-organizational issues.

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 mammalian cell biologist preferably with some experience in stem cell biology and/or hepatic cell biology for a challenging project.

Job Requirements

• The project will be on effects of certain toxicants on cell cultured hepatic cells. The techniques involved include but not limited only to immunofluorescence, western blotting, RNA extraction and qPCR. High throughput transcriptomic characterization tools work experience and data analysis will be advantageous. Those with extensive experience on other tissue and organ types can also apply.

• We can only consider fresh PhD graduates and those with postdoctoral training with proven publication records of the right skillset and training.

• Interested and suitable candidates, please forward your CV to Associate Professor David Leong, [email protected] with the email subject “Postdoctoral position hepatic cell project”.

• Regretably, only those who passed our first screen will be contacted.

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 a Research Fellow position for the design and execution of intervention trials, in the Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, with an affiliation with the National University Health System (NUHS) Centre for Healthy Longevity. The successful candidate will be responsible for overseeing the planning, execution, and monitoring of intervention trials, with a focus on ensuring compliance with study protocols and regulatory requirements.

The Centre for Healthy Longevity (CHL), one of 6 Centres of Excellence of the National University Health System (NUHS), aims to be a leading institute for geroscience research and translation globally, to be renowned for translating research into practice to improve healthspan.

The Healthy Longevity translational research program in the group of prof Andrea Maier is seeking a full-time research fellow to conduct and monitor geroprotective intervention trials with nutritional supplements in middle aged healthy populations. Experience in human clinical research is required.

Duties and Responsibilities

1. Perform literature reviews on micronutrient levels in middle-aged populations to define the optimal level of micronutrients.
2. Design and develop the protocol for a clinical trial with nutritional supplements in collaboration with principal investigators, data scientists, and other stakeholders.
3. Manage the operational aspects of clinical trials, including participant recruitment, enrollment, monitoring, and data collection.
4. Monitor trial progress, ensuring compliance with Good Clinical Practice (GCP) guidelines and study protocols.
5. Develop and implement strategies to maximize participant engagement, retention, and adherence to study protocols in a decentralized setting.
6. Lead the preparation of regulatory submissions, trial reports, and scientific publications.
7. Development and delivery of training materials for site staff and study team members.
8. Identify new research opportunities and grant applications.

Qualifications

1. A PhD or equivalent advanced degree in a relevant field (e.g., nutrition, public health, epidemiology, clinical research).
2. Experience in clinical trials, experience on decentralized trials is preferred but not essential.
3. Strong understanding of GCP guidelines and other relevant regulatory requirements related to clinical trials.
4. Able to work independently, but also enjoying the work with the team members.
5. Strong attention to detail and ability to manage multiple projects simultaneously.
6. Good interpersonal skills with strong leadership attributes.
7. Good understanding of population nutrition especially micronutrient needs is preferred.
8. Desire to move the Geroscience and Healthy Longevity Medicine field forward and contributing to evidence based interventions.

Formal application

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

Responsibilities

• The candidate will be required to perform electrical testing, test data analysis & automation across SiC power and RF/mmWave GaN devices.
• The candidate hands-on characterization work will encompass from low voltage I-V/C-V to high voltage breakdown, switching performances for SiC, and DC & high-frequency characterizations for RF/mmWave regime.
• The candidate must have hands-on experienced in handling Keysight 4156C and B1500A/Keithley K4200 Device Analyzer, B1505A High Power Device Analyzer with N1265A UHC Fixture and Keysight 4284A/4285A and E4908A LCR Meter independently on their own.
• It will be a plus if the candidate has knowledge of instrumentation control using LabView and some other software like Python, C++ etc .
• The candidate is required to have at least some basic semi-conductor knowledges of semi-conductor devices like P-N Junction, Diodes, CMOS etc.
• The candidate can be exposed to process and device design/simulation with commercial TCAD tools (e.g. Silvaco Victory Process and Victory Device, Sentaurus Process and Device, etc) as part of the learning development and eventually be working on wide bandgap devices team.

Qualifications:

• Bachelors / Masters' degree in Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, Chemistry, Physics or equivalent
• At least 5 years of relevant experience preferred. Candidates with relevant study/project experience (Electronics, Microelectronics, Computer Engineering, etc) can be considered.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to "get things done".
• Industry experience is a plus

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.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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.

Looking for a reliable professional, providing a day to day operations in FAB inventories receipt, storage, issuance and transportation of materials.

• Oversee the FAB spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day in day out logistics operations.
• Co-ordinate with co workers and on the movement of FAB materials across IME Premises. Must work closely with the FAB purchasing and operation teams on all logistic needs.
• Always adhere to safety requirements at all times.
• Work on continuous improvement programs/ projects in FAB logistics operations.

Requirements

Education: Degree in engineering discipline. Preferably in supply chain logistic/ warehouse operations.

Experience:

• At least 2 years of warehouse operations
• Engineering background with wide contacts with semicon. material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.
• Experienced in purchasing, new system set-up for inventories and logistics operations will be an added advantage.Looking for a reliable, professional, providing a day to day operations in
  FAB inventories receipt, storage, issuance and transportation of materials.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Pitt Lab is a leading computational research group at the Cancer Science Institute of Singapore dedicated to making groundbreaking discoveries in cancer genomics using cutting-edge machine learning techniques. Our research focuses on the causes and consequences of genome instability. We explore this by combining software development and AI/ML over large-scale multi-omics data derived from cancer patients and experimental systems. Our goal is to leverage heterogeneous data to reveal unique insights relevant to fundamental biology and precision oncology.

As a Research Assistant with an emphasis on machine learning, you will play a critical role in our research endeavors. You may refer to https://csi.nus.edu.sg/researcher/jason-pitt/ for more information on Dr Pitt’s research.

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. At least 2 referees including their name, contact information (email) and relationship to applicant

Duties and Responsibilities

• Developing and implementing machine learning algorithms for analyzing large-scale cancer genomics data
• Designing and conducting computational experiments to evaluate the performance of machine learning models
• Collaborating with other researchers to interpret results and translate findings into clinical applications
• Writing and presenting research findings at scientific conferences and in peer-reviewed journals

Qualifications

• Master's degree in Computer Science, Statistics, Bioinformatics, or a related field
• Strong programming skills in Python, R, or other relevant languages
• Strong mathematical and/or statistical background
• Some experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Excellent analytical and problem-solving skills
• Good written and communication skills

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI with minimum 8 years of relevant experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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.

Job Description:

The candidate needs to develop efficient algorithms for data collection, data cleaning and transforming raw data into usable format for model training. The candidate is expected to be meticulous, have a good sense of data quality and governance, proficient in scripting and keep good documentation. The candidate is expected to collaborate with scientists and engineers and have good team spirit. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, national language understanding

· Proficient programming skills, familiarity with Linux

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

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.

JOB DESCRIPTION

The candidate is expected to contribute to IME in:

1. Electrical test on 12" wafer for IV-CV measurement

2. CSAM operation

3. ESD test

4. Reliability chambers operation

5. Other lab related paper work

JOB REQUIREMENT

1. Bachelor’s Degree in EE & EEE background

2. Able do some computer programming

3. Ability to work effectively and independently

4. Ability to communicate and interact with staff and industry personnel successfully

5. Able to do some shift work requirement occasionally

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.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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.

Job Description:

The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis, design solutioning, conduct evaluation to build state-of-the-art foundational models and develop use cases. Strong problem solving, coding, and communications skills are expected.

Job Requirement:

· BSc/MSc in ML, NLP, background in speech, natural language understanding, multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Knowledge in ML and Deep learning algorithms, and advanced NLP techniques are necessary

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.

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 Professor Wu Jishan on synthesis and electronic properties of novel aromatic systems under a project on “Toward 3D Global Aromaticity Rules”.

The main responsibilities of the position include:

1. Organic synthesis of designed molecules
2. Physical characterization of the electronic and optical properties
3. Material applications

Qualifications

• Qualifications / Discipline: PhD degree in organic chemistry or physical chemistry or organic/supramolecular materials
• Skills: Strong in organic synthesis, good in physical chemistry
• Experience: Rich experience in organic chemistry, supramolecular chemistry, and organic materials, with strong publication record.

Looking for a reliable professional, providing a day to day operations in FAB inventories receipt, storage, issuance and transportation of materials.

• Oversee the FAB spare/ chemicals / inventories stores – upkeep with good house-keepings, periodic cycle counts. Maintain the inventory database, ensuring timely and accurate recordings.
• In charge of day in day out logistics operations.
• Co-ordinate with co workers and on the movement of FAB materials across IME Premises. Must work closely with the FAB purchasing and operation teams on all logistic needs.
• Always adhere to safety requirements at all times.
• Work on continuous improvement programs/ projects in FAB logistics operations.

Requirements

Education: Diploma in engineering discipline. Preferably in supply chain logistic/ warehouse operations.

Experience:

• At least 1 year of warehouse operations or relevant academic experience can be considered
• Engineering background with wide contacts with semicon. material suppliers, equipment vendors.
• Strong knowledge-based on excel skills and some knowledge of supply chain analytics.
• Experienced in purchasing, new system set-up for inventories and logistics operations will be an added advantage.Looking for a reliable, professional, providing a day to day operations in
  FAB inventories receipt, storage, issuance and transportation of materials.

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 Innovation & Enterprise Fellowship Programme (IFP) seeks to grow the pool of deep-tech talent in Singapore with the capabilities to support the commercialisation of deep-tech research and bring nascent technologies to market. Targeting researchers, scientists, and engineers (RSEs), the programme aims to develop industry relevant innovation and entrepreneurial skills through both formal and on-the-job training.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with the public sector and industry partners to translate innovations from bench to clinic using industry relevant and cutting-edge technology platforms. This involves addressing intricate and unexplored challenges in various disease areas, including oncology, fibrosis, infectious diseases, and autoimmune disorders. EDDC is now seeking under the IFP programme a highly motivated candidate with specialized skills in high throughput phenomics, utilizing advanced experimental and computational techniques to accelerate drug discovery and development. The position requires the implementation of methods and workflows that incorporate high-content screening, automated image analysis, and data integration from diverse phenomics datasets. The candidate will apply advanced data analysis strategies, utilizing machine learning approaches for insightful decision-making in research.

This is an eighteen-month on-the-job training programme that requires participation in and supporting cross-functional and collaborative drug discovery projects. By joining EDDC, the IFP candidate will be part of a dynamic, interdisciplinary team working to evaluate, develop and integrate high-throughput experimental data with computational methods to drive innovations in biomedical research and therapeutic development.

Responsibilities:

• Experimental Design and Execution: Develop and implement high-throughput screening protocols, particularly utilizing High-Content Screening (HCS) methodologies. This entails integrating advanced microscopy and image analysis for comprehensive cellular studies.
• Data Analysis and Interpretation: Engage in the management and interpretation of large-scale data sets derived from high-throughput experiments. Employ statistical and computational methodologies to extract significant biological insights and patterns from complex data.
• Protocol Optimization: Innovate and refine experimental procedures to enhance the efficiency and accuracy of phenomics assays. This involves systematic protocol development and validation to ensure reproducibility and reliability of results.
• Collaborative Research and Data Recording: Foster multidisciplinary collaboration in a matrix organisation. This involves working cross-functionally to evaluate, develop and integrate experimental data to drive innovations in biomedical research. Maintaining robust data record-keeping as per EDDC policy, ensuring accurate documentation, and archiving of all research data in line with SOPs.
• Continual Professional Development: Maintain an up-to-date knowledge base in the field of high throughput phenomics and related disciplines. This includes staying abreast of emerging research, technological advancements, and evolving methodologies in phenomics, thereby contributing to the ongoing development and innovation within the lab"s research endeavours.

Requirements:

• Doctorate (Ph.D.) in Cell Biology, Molecular Biology, Bioinformatics, or a closely related scientific discipline
• Extensive experience in high-throughput screening methodologies, with a particular focus on High-Content Screening (HCS).
• Proficiency in fluorescence microscopy, image-based cytometry, and the application of automated image analysis techniques.
• A strong commitment to ongoing professional growth and staying abreast of current and emerging trends in high throughput phenomics and related scientific areas.
• Exceptional ability in both written and oral communication.
• Competence in presenting complex scientific data to varied audiences, encompassing both scientific and non-scientific communities.
• Demonstrated ability in handling and interpreting large-scale biological data sets.
• Proficient in the use of statistical software and programming languages relevant to bioinformatics, such as R and Python.
• A proven track record in designing and executing biological experiments.
• Evidence of scholarly contribution through peer-reviewed publications in relevant scientific fields.
• Experience in working within multidisciplinary research teams.
• Demonstrated skill in effective collaboration with both internal team members and external research partners.
• Ability to innovate and develop novel methodologies and technologies to advance phenomics research.

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.

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

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

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The candidate will be working closely with researchers from CQT and from Duke-NUS. He/she will be using quantum inspired data-science algorithms to better understand regulatory gene networks using clinical data.

Job Requirements

• The candidate must hold a PhD in numerical quantum physics or similar;
• The candidate must have a strong background in numerical computations, with expertise in exact diagonalization and/or tensor networks. Competences in neural networks will also be considered.