Job Description

Nuevocor is a pre-clinical stage biopharmaceutical start-up dedicated to developing genetic medicines to treat the underlying cause of genetic cardiomyopathies. Backed by an international syndicate of reputable venture capital firms, it will focus on advancing its lead program to clinical trials. It will also leverage its platform technology, underpinned by a deep understanding of cardiac mechanobiology, to discover and develop therapies for genetic cardiomyopathies.

Nuevocor’s Singapore R&D site is seeking to hire Research Associates/Technicians to expand our internal research capabilities. You will be joining a close-knit team where you will work closely with company scientists.

Responsibilities

- Work with company scientists to execute and troubleshoot experiments in a variety of areas, including target discovery, target validation, and lead optimization of gene therapy for genetic cardiomyopathies

- Contribute to multiple projects to achieve project milestones and meet timelines

- Keep detailed and accurate records of experimental protocols and data

- Support scientists in data analysis and progress reports

- Contribute to lab management

Qualifications

- Bachelor’s degree in Life Sciences or related fields; Polytechnic certifications will be considered for Technician positions

- Experience or prior exposure to any of the following areas is preferred:

• Handling of mouse models, such as transgenic colony management, administration of drugs, tissue extraction and processing, histology, and molecular assays;
• Experience in cell and molecular biology and biochemistry, such as cell culture, transfections, molecular cloning, PCR, qPCR, Western blots, ELISA, immunoprecipitations, immunofluorescence microscopy

- Keen interest in translational research and comfortable working efficiently to meet milestones

- High standards in documentation and record keeping

- Good time management and pro-active attitude

- Excellent communication skills and able to work in a team

Nuevocor is an equal opportunity and equal benefits employer. All qualified applicants will receive consideration for employment. Position is commensurate with experience. There will be a 13th month bonus, yearly performance bonus, health insurance and flexible benefits.

Interested candidates, please submit a CV and cover letter to tinyurl.com/nuevocorcareer.

DESCARTES PROGRAM

The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).

The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, ARIA etc.).

The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.

Read more about the DesCartes program here.

WP7 focuses on the ways in which AI is embedded in, shaped by, and responds to societies and their diverse cultures, values, and environments. WP7 adopts an integrative contextualised approach and incorporates social & legal concerns on fairness & privacy in AI technology design to generate comprehensive and fresh human-centred frameworks and guidelines to ensure positive societal and cultural take-up and impact. WP7 aims to elaborate recommendations to promote creative & effective ways for communicating & collaborating about AI systems and increase AI literacy.

JOB DESCRIPTION

The Research Fellow will assist with primary legal research in a variety of legal fields associated with cutting edge Artificial Intelligence (AI) technology research, from innovation and intellectual property laws to data governance (including access to data, data commons, compliance with data protection laws). The Research Fellow will contribute to the development of best practice guidelines and governance systems and participate in research administrative tasks. Some supervision of junior research staff may be required.

Key Responsibilities:

· Assist in primary legal research on databases such as Lexis-Nexis, HeinOnline on areas of data governance and technology law such as data protection, data privacy, IP;

· Support in research collation;

· Prepare and develop summaries of research materials in legal fields related to AI (e.g. IP/IT, data protection), involving the drafting of written synthesis of regulatory primary materials, legal judgments, and secondary materials;

· Provide support in other project management and research administrative tasks;

· Some supervision of junior research staff may be required

· To communicate observations and findings to Descartes project as necessary.

EXPERIENCE & QUALIFICATIONS

· PhD in law in a relevant area of technology law and coupled with a good undergraduate law degree with experience in research, and/or experience in technology IP/IT law and data protection law, etc.

· Formal qualification in computer science or technology preferred

· Solid understanding of technology an advantage

· Strong communication and interpersonal skills

· Organised and meticulous

· Capable of following instructions meticulously

· Capable of working independently

Gross Monthly Salary Range (SGD): 6,900 to 9,000 (depending on suitability and experience).

Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602.

JOB DESCRIPTION

We are looking for highly-motivated and skilled data engineer to work on a new initiative on developing advanced AI software platform for Cardiac CT diagnosis.

Successful candidate will work with a team of data scientists and data engineers to develop AI platform for hospitals and clinical trials. Successful candidate will have the opportunity to tap into a large pool of industrial data from different disciplines and to interact with the companies to understand their real data needs.

JOB REQUIREMENT

• Bachelor degree in the field of software engineering, computer science, computer engineering, mathematics and statistics, electrical engineering, or related field.
• Possess minimum 1 year of relevant work experience
• Ability to work independently to translate research ideas into programs with efficient coding
• Basic knowledge on data analytics, machine learning, data mining
• Proficient in Python, Java Script
• Prior industry experience with engineering, financial services, healthcare, or urban development is a plus
• Able to deliver under tight schedule
• Good team player with both research and engineering ethics
• Good interpersonal and communication 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

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for Research Officers to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

The laboratory headed by Dr. Marco Vignuzzi is leading cutting edge virology and antiviral and vaccine therapies. We are seeking a fast learner who can participate in multiple projects in the lab.

Job Description:

• Perform virological assays in cell culture for a wide variety of RNA pathogens, including chikungunya virus, Zika virus, dengue viruses, enteroviruses, influenza virus
• Work with mouse infection models to test antiviral therapies
• Conduct laboratory experiments in antiviral drug testing and perform data analysis for industry/research collaboration projects
• Perform meticulous recordkeeping and able to draft delivery report to industrial partners
• Oversee daily laboratory activities and help manage the lab’s routine admin duties
• Help new students and postdocs settle into the lab and transfer techniques to them
• Ensure safe technical practices and procedures
• Participate in the scientific discussions and brain-stormings of the lab
• Participate in presenting lab work in internal and external meetings

Job Requirements

• Bachelor Degree in Biomedical Sciences, Biochemistry, Life Sciences, Biological Sciences, Infectious Diseases, Microbiology, Immunology, or related field.
• 2 or more years of solid experimental experience
• Ability to work in molecular biology and in cell culture
• Experience with BSL-2 pathogens, and cell culture will be an asset
• General lab skills in molecular biology (cloning, PCR, RNA and DNA methods)
• Highly motivated and able to work independently and multitask
• Team player with good interpersonal skills
• Good spoken and written communication skills
• A strong desire to constantly learn and acquire new 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.

Justification Request:

The successful candidate will join the Data Management Group at the Bioinformatics Institute (BII) within the Agency for Science, Technology and Research (A*STAR). The Observational Health Data Sciences and Informatics (OHDSI), Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) is the national data standardisation framework adopted by Singapore’s Ministry of Health (MOH) for real world evidence studies. This is a functional role that combines data management and data science skills for OMOP data curation & data analytics of national strategic research datasets.

Job Summary:

Support with the data curation and data analytics of national strategic research datasets based on OHDSI OMOP framework (multi-modal data integration, data cleaning, data curation, data quality assessments and data analytics) - https://www.ohdsi.org/

Job Responsibilities:

- Implementation of OHDSI OMOP framework across the national strategic research datasets such as the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort study, https://gustodatavault.sg/omop/
- Develop and implement data management strategies for standard Common Data Model, vocabulary/ontology, mapping tools, methods and documentation.
- Develop and implement proactive quality control audits/quality management plans across datasets to ensure data mapping accuracies and completeness.
- Generate comprehensive reports and visualisation dashboards to effectively communicate data insights to stakeholders, including investigators, physicians and regulatory bodies.

Job Requirements:

- A Bachelor/Master Degree in Public Health, Data Science, Statistics, Computer Science of related field.
- Good programming skills (Python, R).
- Knowledge/experience on Good Clinical Practice (GCP), Good Clinical Data Management Practices (GCDMP) guidelines, OHDSI OMOP Common Data Model and regulatory data submissions.
- Good team player and communication skills for collaborative research.
- 0 - 3 years’ experience.

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

NUS is looking for a Research Fellow to work on a Microgrid model integrating hydrogen fuel cells.

The job requires the candidate to design and implement systems for the efficient transmission and distribution of power generated from centralized hydrogen energy hubs. This project involves both AC/DC power transmission and the reinforcement of pipelines for hydrogen distribution, enabling decentralized power generation. The candidate needs to implement this on MATLAB software and demonstrate the summary to the industry partners.

Qualifications

• Possess a recognised PhD degree in Electrical Engineering or equivalent with specialisation in Power converters and drives.
• Able to work independently by conducting experiments alone or in teams when required, and possess strong experimental validation experience
• Familiar with working on renewable energy systems and implementing an optimal control strategy when different sources are involved.
• Familiar with hydrogen fuel cell and electrolyser working.
• Familiar with state-of-the-art simulation platforms such as MATLAB/Simulink and PLECS.
• Familiar with multi-objective optimal design of power converters.
• Able to work on multiple tasks and projects in a multicultural and dynamic environment, with teams, governmental agencies, and collaborators.
• Able to draft research proposals, assist the PI in applying for research grants, and manage the research funds.
• Good written and communication skills.
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project will study and propose feasible solution to retrofit existing coastal protection structures. Special feature of this proposed solution is that it must be able to reduce seawater seepage, using innovative way of impervious material. The solution must also be modular in nature, such that it can be stack onto the existing seawall or the previously installed layer.

The selected Research Fellow will help the PI and Co-PI in overseeing the project in general and help in drafting the reports. In particular, he/she is responsible for the

• design and execution of centrifuge testing in this project.
• design a wave generation inflight in centrifuge model.
• model the impermeability of the new proposed modules, and its connection with the existing seawall.
• data interpretation and summary the laboratory tests, arrive at some key findings on the future design.

Job Requirements

• Possess a PhD degree in relevant filed.
• Strong in basic geotechnical knowledge.
• An independent researcher.
• Strong in basic geotechnical knowledge.
• Familiar with geotechnical FEM modelling software and their applications.
• Able to analyse test data.
• Able to draft sound technical report.
• Highly motivation in doing research work.
• Innovative in thinking.
• Able to work in a team.
• Strong communication ability; written and spoken and able to present research findings.
• Open to fixed-term contract

ABOUT THE COMPANY

Global Centre for Maritime Decarbonisation (GCMD)

Global Centre for Maritime Decarbonisation was established as a non-profit organisation in August 2021 following the recommendation of the International Advisory Panel for Maritime Decarbonisation established by Maritime and Port Authority of Singapore in 2020. The mission of this centre is to help the maritime industry eliminate its greenhouse gas emissions by shaping standards, deploying solutions, financing projects and fostering collaboration across sectors.

This centre is strategically located in Singapore, the world’s largest maritime bunkering hub and second largest transhipment container port, and will coordinate regional and global decarbonisation efforts.

Responsibilities:

The Associate is a member of the Research & Projects team and will report to the Director of Research & Projects.

Strategic Planning and Execution Roles

• Support the Research & Projects team on the progress of assigned projects and programs

Operational Roles

• Project management

-Design detailed workplans and monitor progress against them

-Manage relationships with stakeholders

-Host periodic stakeholder meetings, take meeting minutes, and deliver internal updates

-Ensure projects are delivered on time, within scope, and within budget

-Coordinate staffing, resources, schedules, and timelines

-Oversee all documentation and record keeping

-Ensure proper adherence to the procurement policies and audit requirements

-Optimise and improve processes where necessary

• Facilitate the collation of project related data
• Generate final project report
• Evaluate received project related proposals

External Engagement Roles

• Engage with industry, institutes of higher learning and knowledge centres to keep abreast with developments
• Work closely with relevant government agencies to commence projects / pilots

Qualifications:

Associate

• Minimum degree from a recognised University in engineering or sciences
• Minimum 5 years working experience as a project manager with at least 3 years, any role, in the maritime or energy sector

Overall

• Knowledge and experience with project management of operational, construction or field work type of projects will be highly advantageous.
• Good understanding on maritime decarbonisation related issues.
• Strong command of the English language and writing skills
• Strong organizational skills and good attention to detail
• Passionate about sustainability and maritime decarbonisation
• Must be able to multitask and work well under pressure
• Team player, highly motivated, ability to work independently and confidently

We are seeking an enthusiastic and capable full-time Research Officer for the above project, a large-scale project on childhood development, family, and population issues in Singapore. The RO will assist in survey operations, data management and analysis, literature review, writing of reports and administrative support.

Qualifications

• Bachelor’s degree (preferably Honours) or equivalent in statistics or social sciences
• Experience in conducting research such as an honours thesis or involvement in a research project
• Strong writing skills
• Strong quantitative research skills. A good grasp of data analytic software such as SPSS, STATA, or R
• Strong organizational and interpersonal skills
• Proficient in Microsoft Office Suite
• Ability to collaborate with a large team and to work independently when necessary

Terms and Conditions

The appointment is tenable for 1 year, with the possibility of renewal pending on budget. Remuneration package is commensurate to qualifications and experience.

Projected date of commencement: April, 2024

Review of applications will start till the position is filled. We regret that only shortlisted candidates will be notified via email.

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

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 mission of Cancer Science Institute (National University of Singapore) is to better understand the causes of human cancer across Asia, and thereby improve its detection, treatment, and prevention. Our outstanding researchers and exceptional facilities create an energetic environment for ground-breaking science and world-class training.

A Research Assistant position is available immediately in Prof Chng Wee Joo’s research group. The selected candidate will provide support to the Principal Investigator and the team in terms of research, laboratory and administrative needs

You may refer to https://csi.nus.edu.sg/researcher/wee-joo-chng/ for more information on Prof Chng’s research.

Interested applicants should include the following documents in the job application

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

Job Description

Research:

• Carry out assigned experiments
• Organize, preserve and present the results of the experiments in a logical manner
• Record all assigned experiments and results properly and systematically
• Analyze and plan further experiments under guidance
• Assist in supervising, training and guiding attachment/undergraduate students where required

Laboratory:

• To plan and ensure the needs and requirements of the team in terms of consumables
• Ensure that the lab is adequately stocked with clean glassware, minor equipment, chemicals, etc. required for experiments
• Regular checks and maintenance of equipment
• Assemble reagents, chemicals and media that are needed for experiments
• Ensure that standard operating procedures and safety regulations are followed

Administrative duties:

• Plan and ensure that the overall lab administrative needs of the team are met
• Assist the Principal Investigator in tracking his/her grants and other sources of funding
• Procurement of necessary equipment, chemicals, reagents as required by the lab or project
• Maintaining a systematic and proper record of all purchases
• Liaise with vendors and the administrative office to ensure proper purchase requisitions, goods delivery and prompt payment of supplies
• Any other ad hoc duties as required

Qualifications

• At least Diploma in Genomics, Molecular Biology or in any related field
• Team player and willing to learn
• Knowledgeable in laboratory scientific resource material; laboratory equipment and its care.
• Knowledgeable in methods of scientific research and relevant scientific theories.
• Knowledgeable in basic principles, terminologies, practices used in cancer biology, examination of clinical and animal samples.
• Adhere to Government guidelines and regulations pertinent to laboratory safety and security and IRB, OSHE & IACUC regulations
• Packaging and shipping of diagnostic, infectious and hazardous materials.
• Appropriate computer operations, software and peripherals.
• Ability to perform laboratory tests

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 Associate Professor Utkur Mirsaidov on exciting research nanoscience projects using cutting-edge in-situ high-resolution transmission electron microscopic techniques (TEM).

Main responsibilities:

• Developing image processing methods for Electron Microscopy movies structural visualization.

• Responsible for micro- and nanofabrication, process improvements, and developing designs for new devices.

• The candidate will be the link between researchers, hardware and operations and work in close cooperation with all three profiles.

• Since the candidate will be working in an international and multicultural environment, fluency in English and good people skills are essential.

• We are a group of dynamic and creative researchers who love science, looking for like-minded candidates who are willing to head on challenges and go the extra mile.

The successful candidate is also privileged to be trained on advanced microscopic techniques that bring you to the next level in the research world.

Training provided:

• Transmission electron microscope (TEM)

• Atomic force microscope (AFM)

• Scanning electron microscope-focus ion beam (SEM-FIB)

• 2D material transfer and fabrication

Qualifications

Qualifications / Discipline:

• Bachelor of Science or higher in one of the following disciplines: Physics (preferred), Engineering, Mathematics

Skills:

• Main: Solid programming skills with experience in Python/Matlab/

• Bonus: Imaging process, visualization, scientific image analysis experience, cleanroom (microfabrication) experience.

• Possess great interpersonal and communication skills, hard-working, and not afraid of challenges.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to model the corrosion induced damage process in reinforced concrete. A multi-physics model is envisioned, to capture the ingress of chloride ions, the stress loading on concrete material due to the formation of corrosion products, and the resultant damage in concrete. Meso scale modelling with matrix, ITZ and aggregates will be utilized to understand the interactions between underlying processes.

The candidate is expected to perform the following tasks:

• Develop and implement a multi-physics numerical model for concrete on the diffusion of chloride ions leading to the formation of corrosion products;
• Develop and implement a damage model for concrete to capture the development of cracks in reinforced concrete.

Job Requirements

• Possess a PhD degree in a relevant field.
• Has demonstrated experience in at least two of the following topics: Random field generation and modelling/Multi-physics model formulation and numerical implementation/Continuum modelling of corrosion process /Phase-field / nonlocal / gradient damage models.
• Strong communication skills; written and spoken.
• Open to fixed-term contract.

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

NUS is looking for a Research Fellow to work on Digital Twin of microgrid (MGDT) with energy management system (EMS).

The job requires the candidate to build the digital twin model of the hybrid microgrid with EMS with different operating conditions of sub-system and its associated equipment before actual implementation. Further, this MGDT will be used for the EV applications, therefore, Smart EV Charging, Energy Storage Management System, Energy Storage System, etc to provide unified experience for operation team will also need to be considered.

Qualifications

• Possess a recognised PhD degree in Electrical Engineering or equivalent with specialisation in microgrid, or EMS.
• Able to work independently by conducting experiments alone or in teams when required, and possess strong experimental validation experience
• Familiar with working of renewable energy systems, digital twin, energy storage, optimisation and control algorithm development.
• Familiar with state-of-the-art simulation platforms such as MATLAB/Simulink.
• Able to work on multiple tasks and projects in a multi-cultural and dynamic environment, with industrial partners, governmental agencies and collaborators.
• Able to draft research proposals, assist the PI in applying for research grants, and manage the research funds.
• Good written and communication skills.
• Open to fixed-term contract.

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 postdoctoral fellow will work closely with Asst. Prof. Patrick Rebentrost in the intersection of quantum algorithms and optimization, machine learning and/or finance. Sample topics include quantum algorithms for problems in supervised and unsupervised machine learning, algorithmic learning theory, and online learning, and quantum algorithms for financial problems such as portfolio optimization, pricing of financial derivatives, and hedging. The job will include the development of quantum algorithms in these areas, with provable quantum advantages and provable guarantees, when possible, in fault-tolerant models of quantum computation. The job will also include the development of algorithms that are easier to execute on available hardware such as variational and post-variational methods and quantum approximate optimization. Furthermore, the aim is to provide hardware implementations on available devices, comparisons between available hardware providers, and classical simulations of the quantum algorithms. For this purpose, the successful applicant will be granted significant independence concerning their research and receive generous travel funding. They will be expected to contribute to the group, for example by co-supervising student projects and assisting with outreach activities.

Qualifications

• Strong track-record working on technical aspects of quantum algorithms and/or quantum information. Strong candidates with proven expertise in other aspects of quantum computing such as quantum machine learning, near-term quantum algorithms, quantum approximate optimization are encouraged to apply.

• The candidate is expected to have a PhD in electrical engineering, computer science, physics or applied mathematics and a substantial publication record in theoretical quantum computing/information.

• Strong research profile and proven ability to communicate research

Responsibilities:

• Responsible for co-leading and supporting PI in managing the full life cycle of R&D projects, from scoping, initiation, planning, executing through to completion:

- establish communication plans, build project schedules, milestones and deliverables.

- manage project risk, scope, budget, resources, schedule and KPIs

- interact and communicate with internal and external stakeholders

- track project progress against milestones and budget

- prepare reports to management and grantors

- ensure that projects adhere to established policies, guidelines, standards, and methodologies.

• Support the implementation and maintenance of the Project Management Information System (A*PS)
• Project Management related SOP writing and development

Other Responsibilities:

• Other ad-hoc duties and assignments as may be assigned by Reporting Officer/Director

Job Requirements:

• Minimum of Bachelor of Science in Biomedical Sciences, Biochemistry, Life Sciences, Microbiology, Molecular Biology, Infectious Diseases, Immunology or related field as above
• At least 3 years of working experience preferably in the medtech, healthcare, or biomedical industry
• Strong background in Microbiology, Molecular Biology, Biochemistry, Genetics and Genomics
• Experience with project management, developing and implementing project plans preferred.
• Demonstrable experience of developing and maintaining key project documentation to a high standard
• Knowledge and competence in industry engagement and intellectual property would be advantageous
• Highly motivated and able to work independently
• Strong analytical, technical, and problem-solving skills
• Team player with good interpersonal skills
• Good spoken and written communication 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.

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 Prof. Noah Lim under a project on Multicomponent Formulations For Coatings That Increase The Shelf Life of Perishable Goods.

The main responsibilities of the position include:
1. Participate in project operation.
2. Fruit market survey.
3. Screening and optimization of edible components for fruit extension shelf-life coating formulation.
4. Structure analysis of formulated coating/thin film

Qualifications

• Qualifications / Discipline: Bachelor Degree in Chemistry/Materials/Food Science and Technology.

• Skills: SEM, Confocal Microscope, FTIR, HPLC, sensory evaluation, etc.

• Experience: With expertise in food science, formulation development, polymer science, biomaterials.

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 Senior Research Fellow position in Prof Brian Kennedy’s lab, part of the Department of Biochemistry and the Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab focuses on basic, clinical and transformative research to add healthy year of life by developing interventions to delay ageing and chronic disease onset, increase healthspan and improve life quality.

Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Senior Research Fellow (SRF) will be responsible to and work closely with Professor Brian Kennedy to provide support in research projects to advance the understanding of aging biology and age-related diseases, with a specific focus on identifying novel anti-aging compounds (drugs, natural products, metabolites, etc.) that can delay cellular aging and extend healthspan. This includes assessing the effectiveness of these potential compounds in various age-related disease models, including neurodegenerative disorders, cardiovascular diseases, diabetes, cancer, sarcopenia, age-related macular degeneration, and skin ailments.

Main Duties and Responsibilities

1. Independently lead, design and perform experiments on research projects with experience in biology of ageing and therapeutic interventions for age related diseases.
2. Conduct literature searches, experimental plans, and data analysis independently and reliably
3. Assist Principal Investigator in preparing grant proposals, progress reports of research projects.
4. Has experience, able to supervise and conduct techniques in the following areas:
5. High-throughput drug screening techniques
6. Mechanistic studies in ageing models, such as cells, yeast, C. elegans, fish, mice
7. Basic molecular biology techniques such as molecular cloning, gene expression, protein expression/purification, immunoprecipitation, Western blots.

Main Duties and Responsibilities

5. Knowledgeable in the areas of Cellular metabolism, Nutrients signaling, Biological stress, Chemical genomics, Drug discovery

6. Able to train and supervise junior lab members in conducting research projects.

7. Assist with any other duties such as guiding junior lab members on presentations, proprosal writing, etc.

8. Assist with any other duties of a similar nature that are delegated by the PI.

9. Able to effectively exchange ideas and knowledge with other team members, collaborators or other stakeholders in the scientific community

10. Strong team player skills and the ability to work harmoniously with a diverse workforce.

Application

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

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 three (3) referees to this job portal.

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

• Perovskite Solar Cells
• Electrochromic window
• Neuromorphic Computing
• Nanomaterials Synthesis
• Mentor PhD students
• Draft grant proposals
• Oversee lab safety

Job Requirements

• PhD degree in chemistry, materials science and engineering, electric and computer engineering, or chemical engineering.
• Ample research experience in synthesis of nanomaterials and nanocomposites, perovskite solar cells, smart windows, neurocomputing
• Solid background/experience in materials for optoelectronics and memristors.
• Excellent communication and writing skills
• Strong publication record
• Prior undergraduate and master students mentoring experience

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This project will focus on the multi-agent search problem, where multiple autonomous robots (agents) are tasked with spreading over a given region to be explored, to locate given targets of interest trying to evade detection. The number of targets is unknown, and their initial position is not known as well. There might be obstacles in the domain, and their location might or might not be known. Throughout this work, we will assume that robots can communicate their observations (presence/absence of targets) during search, via local or global communications, so they can update their representation of the domain and likely location(s) of targets (more details about this representation in the next Section). Our goal is to allow robots to plan efficient search paths to cover the domain and localise the targets as quickly as possible, while relying on local sensing and on distributed intelligence rather than on centralised planning, which would represent a vulnerable bottleneck and would not scale well to large agent teams.

Qualifications

• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.)
• Literature review/summarizing skills
• Simulations abilities (e.g., AirSIM, ROS Gazebo)
• Experience with implementation of deep learning model on hardware (e.g., ground/aerial robots)
• Experience publishing papers, and supervising undergraduate/master’s students

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

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

We regret that only shortlisted candidates will be notified.

Job Description

This position will involve the design and operation of tubular flow reactors for a variety of single- and multi-step organic synthetic transformations, including, but not limited to, multi-phase (gas-liquid) reactions, photoredox chemistry and electrochemistry. The primary space of applications will be in the manufacture of functional molecules as active ingredients for the pharmaceutical and agrochemical industry. Candidates with deep experience in the setup and operation of flow reactors and the associated online/offline analytical instrumentation are encouraged to apply.

Job Requirements

Ph.D. in chemistry or chemical engineering, including 3+ years of experience in organic synthesis and flow chemistry

Responsibilities :

• Responsible for sales & marketing of scientific, laboratory, research and testing instruments to the scientific research community and industries
• Engage key account customers, source out new accounts and other business opportunities
• Provide excellent customer service through product knowledge, handling inquiries and eventual sales order
• Managing product lines from strategic planning to tactical activities

Requirements:

• Degree in any Science discipline (Biochemistry, Molecular Biology, BioEngineering, Biomedical Engineering, Materials Science, Nanotechnology, Physics, Chemistry, Chemical Engineering, or related field)
• Preferably with at least 1 year of sales experience in the life-science, biomedical, pharmaceutical research institutions & industries
• Candidates without experience are welcome as training will be provided
• Dynamic, self-motivated with excellent interpersonal, comunication and presentation skills
• A team player who is resourceful and able to multi-task

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 department of Philosophy at the National University of Singapore invites applicants for a ten month Visiting Research Associate Professorship starting in early 2024. The position is affiliated with a project on decision-dependence in normative philosophy, aiming to develop a general framework for making decisions when the evaluation of options depends on or is affected by which option is chosen. Applicants should have at least one area of specialization, and ideally more than one, in a normative field, including ethics, rationality, epistemology, and/or decision theory. The Visiting Research Associate Professorship is a purely research position; no teaching duties are required.

The application should include:
- A CV (Required)
- A Writing Sample (Required)
- Four Letters of recommendation (Required)

If you have any questions, feel free to contact Abelard Podgorski ([email protected])

Qualifications

A PhD in Philosophy or a related field.

More Information

Location: [[Kent Ridge Campus]]

Organization: [[NUS]]

Department : [[Philosophy]]

Employee Referral Eligible: [[NA]]

Job requisition ID : [[23212]]