Total 113 Science / R&D / Research job vacancies in Parris Island, South Carolina

Are you looking for a Science Teaching Role? Looking for a progressive school which fosters growth and thrives on helping young people to achieve their goals? Based in or around Sheffield? If so, we have the role for you.

We have partnered with a dynamic and progressive Secondary School based in Sheffield to hire their next Science Teacher! This is a full-time position, beginning from September 2024 or sooner.

To be considered for this position, you will have high professional standards and excellent subject knowledge, with the ability to teach inspirational lessons across all key stages. We are looking for someone who is an experienced and effective teacher, who has the drive and determination and a proven record of raising standards in Science. In return, you will work in a trust that fosters achievement and growth in staff and students!

We are looking for:
Qualified Teacher Status (QTS).
Strong subject knowledge with a passion for sharing your expertise with young learners.
Excellent communication, interpersonal, and organizational skills.
Commitment to fostering a positive and inclusive learning environment where every student feels empowered to explore and excel across the Science curriculum.

MAT Recruitment is committed to safeguarding and promoting the welfare of children and young people in line with KCSIE 2023. In order to meet this responsibility, we follow a rigorous selection process.

MAT Recruitment is an equal opportunities employer; therefore, we welcome applications from all suitably qualified persons.

Digital Trust Centre (DTC) is looking for a candidate to join them as a Research Engineer II.

Key Responsibilities:

• Conduct cutting-edge research in large language models, translating theoretical algorithms, frameworks, and methodologies into practical, working prototypes that demonstrate potential product applications.
• Collaborate closely with researchers and engineers to design and implement system architectures and software solutions that transition research findings into scalable, deployable products.
• Develop and build tools and frameworks to facilitate the transfer of LLM capabilities to industry partners, showcasing the practical value and impact of the research outcomes.
• Create and maintain comprehensive technical documentation, including white papers, presentations, and tutorials, to disseminate knowledge to a broader audience and enhance overall expertise in these emerging areas.
• Engage with international research communities and partners to stay abreast of the latest advancements in machine unlearning, contributing to discussions, collaborations, and initiatives that elevate Singapore’s position in the global AI and privacy research landscape.

Job Requirements:

• Minimum Masters’s degree in computer science/ engineering or related fields.
• Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous.
• Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including tasks such as data preprocessing, feature extraction, model training, and evaluation.
• Strong knowledge of machine learning and deep learning techniques, including knowledge graphs, machine unlearning, and AI testing.
• Proficiency in working with common Linux distributions (e.g., Ubuntu, CentOS) and familiarity with shell scripting and command-line tools.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) is a must.
• Experience with version control systems (e.g., Git) and collaborative development tools.
• Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous.
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
• Strong analytical and problem-solving skills, with a focus on developing innovative solutions for LLMs.
• Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
• Strong collaborative skills, with experience working in cross-functional teams.
• Keen attention to detail and commitment to high-quality deliverables.
• Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
• Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.
• Experience in AI model testing methodologies, including robustness, fairness, and explainability assessments, as well as understanding data privacy and security considerations in AI.
• Good understanding of relational database and Unix shell scripting skills.

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

Lee Kong Chian School of Medicine (LKCMedicine) established in September 2010 is a partnership between Imperial College London and Nanyang Technological University, Singapore. The school operates from two campuses – Yunnan Campus at Nanyang Technological University and a new campus to be built at Novena. Our primary healthcare partner is the National Healthcare Group (NHG) which comprises an integrated network of primary healthcare polyclinics, acute care hospitals such as Tan Tock Seng Hospital, and national specialist centres. LKCMedicine delivers a new five-year undergraduate medical programme leading to a joint MBBS degree awarded by Imperial College London and Nanyang Technological University.

Antimicrobial drug resistance is a growing an alarming problem that poses serious challenges to the existing public health infrastructure of Singapore and of the rest of the world. Microbial pathogens are becoming more and more difficult to treat as they steadily gain partial and full resistance to last-line antibiotics.

Recalcitrant infections can add enormous costs and strains to health care systems that are already stressed. This is especially a concern in Singapore, where between now and 2030, the health care system will need to accommodate the costs associated with a population that will undergo an unprecedented age shift in which the number of residents aged 65 years or older will increase threefold. Altogether, there is an urgent need to develop new alternatives or compatible therapies to combat the growing problem of AMR.

We are currently recruiting a Research Fellow who will be working closely with Dr Kevin Pethe as part of a large interdisciplinary team.

Key Responsibilities:

The appointed Research Fellow will lead studies to evaluate the potency and pharmacokinetics of therapeutic phages in animal models of bacterial infections. The successful candidate will have the opportunity to work in a dynamic research environment with access to state-of-the-art core facilities.

• Lead research projects
• Evaluate bacteriophages in animal models of infection
• Study phages biology

Competencies and Qualification Requirements:

• PhD in Biological/Biomedical Sciences with expertise in bacteriology or infectious diseases (BSL-2).
• At least 1 years’ experience as Research Fellow
• Expertise in tissue culture, bacteriology, molecular biology and animal work

Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National Research Foundation Singapore, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists and educators who conduct innovative research in the science of learning.

The world of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible learning. Mental flexibility is required in order to adapt to change, problem-solve creatively in new situations and make the most of opportunities including emerging career opportunities. The capacity for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges, including climate change, renewable energy, and food security, will require novel and creative approaches and solutions.

CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, in order to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are not only prepared for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society.

For more details, please view: https://www.cares.cam.ac.uk/research/clic/

We are looking for a Research Fellow to support research activities on neuroimaging, and training-related brain changes in adults. The role will focus on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy. We anticipate the successful candidate to perform within a dynamic interdisciplinary research environment working collaboratively with project team members.

Key Responsibilities:

• Perform computational modelling and analysis of the neuroimaging and behavioural data from cognitive and related domain tasks
• Development and implementation of neuroimaging data analyses pipelines
• Conduct analysis of data and summarise research findings
• Development and implementation of data transfer and curation protocols
• Liaise with other workgroups on data management and multi-modal analyses

Job Requirements:

• PhD degree in experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, biomedical engineering, computer science, or related fields.
• At least 2 years of relevant experiences in similar role / technical hands-on experience in specific scope
• Advanced signal processing and programming skills (e.g. with Matlab, Python)
• Experience with neuroimaging techniques (MRI, EEG and/or TMS).
• Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio, etc.
• Experience with statistical packages, especially R and SPSS
• Good statistical knowledge and skills
• Good IT skills (i.e., Microsoft Office®)
• Strong ability to work within a multidisciplinary team
• Strong interpersonal, written and verbal communication skills
• Excellent organizational skills and able to work within given deadlines

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

A Corp Lab in NTU is looking for a Research Engineer I or II to work on Large Language Models for Health. This role requires a passion for innovation, the ability to work effectively in a collaborative environment, and a commitment to contributing to groundbreaking discoveries in project-based research.

Key Responsibilities:

• Work closely with the Principal Investigator (PI) and team members/engineers to design and implement LLMs-based conversational agents.
• Assist in data and LLM analysis and conducting experiments for project-based research questions.
• Assist in developing algorithms and models based on existing LLMs to enhance multi-turn conversations, proactive inquiry, and knowledge-guided common-sense reasoning in conversational agents.

Job Requirements:

• Master’s degree or Bachelor’s Degree in computer science/engineering.
• Solid knowledge in Natural Language Processing, LLMs, or conversational AI.
• Proficient in programming languages and frameworks relevant to machine learning, specifically Python and PyTorch.
• Able to test, debug and optimize existing code base and other features.
• Excellent communication skills and good problem-solving skills.
• Relevant publication record in NLP and conversational AI is preferred.

We regret that only shortlisted candidates will be notified.

We are looking to appoint a full-time Project Officer at the School of Humanities in Nanyang Technological University (NTU).

The incumbent will join the Linguistics and Multilingual Studies (LMS) Department working on a project titled ‘Performance-interpretability Tradeoff in Discourse Research’ led by Professor Dennis Tay. The position is a fixed term post for 17 months.

About the Project

The performance-interpretability tradeoff (PIT) in data science and AI refers to the balance between how well a statistical/machine learning model performs, and how readily humans can comprehend it. This project investigates the nature and characteristics of PIT in discourse research, focusing on the following:

i) the (strategically) indeterminate nature of PIT

ii) PIT in time-based algorithms and discourses

iii) conceptual relationship(s) between PIT and ‘mixed-methods’ discourse research, with subsequent developments based on emergent findings.

Discourse datasets to be investigated include psychological counseling, social media, academic lectures, and other relevant time-based contexts, while time-based algorithms include LSTM, ARIMA time series, and survival regression models. The project also aims to design and develop relevant pedagogical resources aimed at students and the general public.

Key Responsibilities:

• Assist in sourcing and collecting language and discourse datasets across different domains
• Assist in pre-processing discourse data for analysis
• Assist in preparation of research output, pedagogical resources, and/or other project-related deliverables

Job Requirements:

• Good Bachelor’s degree in linguistics, language studies, data science, or related fields
• Strong verbal and written communication skills
• Working knowledge of Natural Language Processing and Python / R is an advantage

Interested applicants may apply with submission of the Curriculum Vitae.

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

About the role

You will help to deliver an innovative neuro-oncology research project; developing a new preclinical in vivo model of NF2-null meningioma and investigating immunotherapies. The project involves using single-cell RNA-sequencing and murine models of NF2-null tumours, patient-derived xenograft drug screening and validation with a variety of wet-lab techniques. This role is advertised on a fixed-term basis for 2.5 years due to external funding.

The role will be ideally suited to an early-career researcher who is motivated to join a vibrant neuro-oncology research community at the University of Plymouth’s Brain Tumour Research centre of excellence.

Essential:

• Ph.D (or close to completion) in neuro-oncology, immunology or other closely related and relevant subject.
• Competence in a variety of laboratory techniques.
• Extensive knowledge of cancer cell biology and tumour-associated immune cells.
• Skill in protocol development and optimisation.

Desirable:

• Experience in animal research and/or UK Home Office PIL A/B + C (rodents).
• Experience in single-cell RNA-sequencing and/or other omics techniques.
• Bioinformatics skills.
• First-author publications and/or other demonstrable research impacts.

Our Research:

The Parkinson lab’s neuro-oncology research focus centres around NF2-null nervous system tumours; meningioma, schwannoma and ependymoma. We have access to an excellent biobank of primary tumour cells, and use genetic and xenograft murine models to drive translational preclinical research.

Recent publications:

Inhibition of YAP/TAZ-driven TEAD activity prevents growth of NF2-null schwannoma and meningioma, Brain, 2022;awac342, https://doi.org/10.1093/brain/awac342

Human Endogenous Retrovirus Type K Promotes Proliferation and Confers Sensitivity to Antiretroviral Drugs in Merlin-Negative Schwannoma and Meningioma. Cancer Res 2022 Jan 15;82(2):235-247. https://doi.org/10.1158/0008-5472.CAN-20-3857

Merlin controls the repair capacity of Schwann cells after injury by regulating Hippo/YAP activity. JCB, 2017. https://doi.org/10.1083/jcb.201606052

Peninsula Medical School:

Our laboratory is based in the Derriford Research Facility within the Peninsula Medical School and contains state-of-the-art facilities for delivering this project including a confocal microscopy suite and biological services unit. Our facility is supported by the Brain Tumour Research charity as a Centre of Excellence.

Please demonstrate how you meet the essential criteria outlined in the knowledge, qualifications, training and experience elements of the job description in your supporting statement.

For an informal discussion to find out more about the role then please contact Dr Liyam Laraba by email liyam.laraba@plymouth.ac.uk

Interviews are likely to take place on week commencing Monday 20 January 2025 and you will be notified if you have been shortlisted or not.

This is a full-time position working 37 hours per week on a fixed-term basis for 30 months due to funding.

The successful candidate may be required to obtain an ATAS Certificate prior to this research being undertaken.

Remote working is available up to 1 days a week.

About us

The Faculty of Health holds four Silver Athena Swan awards, which recognise our commitment to supporting gender equality within higher education.

The University of Plymouth has a strong interdisciplinary research ethos which is supported by our three strategic Research Institutes; the Marine Institute, the Sustainable Earth Institute, and the Plymouth Institute of Health and Care Research. As a member of our academic community, you’ll be expected to contribute to our recognised research strengths. Working holistically across the University, you will be challenged to innovate, collaborate and deliver impactful research contributions as part of a systems thinking approach to addressing today’s global challenges.

Application Process

Please apply online, demonstrating how you meet the essential criteria outlined in the knowledge, qualifications, training, and experience elements of the job description in your supporting statement.

Following the closing date of the vacancy, you will be notified on the outcome of your application in due course.

Our Offer

Staff appointed within the Faculty of Health may be able to join the NHS pension scheme subject to eligibility criteria.

We offer a competitive salary package, a generous pension and holiday scheme. We also offer a range of other benefits/support mechanisms, including ongoing development opportunities, flexible working, staff networks and enhanced maternity, paternity, and adoption leave.

A summary of our comprehensive benefits can be viewed here.

Additional Information

The University of Plymouth is an inclusive community where everyone is welcomed regardless of their background. To find out more about our inclusive community initiatives, such as Athena Swan and the Race Equality Charter, please visit our Equality, Diversity and Inclusion webpages.

We particularly welcome applicants from under-represented communities at the University of Plymouth, such as carers/parents, people with disabilities, ethnically diverse, LGBT+, and people from all socio-economic backgrounds.

We are seeking a highly motivated Research or Senior Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. If you are independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges, this is the role for you.

JOB DESCRIPTION

• Develop, test, and maintain enterprise planning systems and applications.
• Analyze complex problems related to resource planning and scheduling, identifying potential solutions, and implementing the most effective one.
• Collaborate with other developers and stakeholders to deliver high-quality software products.
• Deploy software to production environments and provide ongoing maintenance and support to customers.
• Take responsibility for documenting code with technical specifications, user manuals, and other documentation to facilitate understanding and maintenance by other team members.
• Identify and address bottlenecks, inefficiencies, and scalability issues to ensure optimal performance of the software system.

JOB REQUIREMENT

• Bachelor's or Master's Degree in Computer Science or Engineering or relevant disciplines.
• Minimum of 8 years of working experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as microservices, DevSecOps, and Container Platforms
• Proficiency in designing and developing microservices using at least one programming language, preferably C# .NET, Java, or Python
• Good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Can-do attitude and willingness to interface with multiple stakeholders.
• Excellent troubleshooting, follow-through, and problem-solving skills, with attention to detail.
• Excellent verbal 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.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow. The Research Fellow will be working on high-resolution imaging, bioimaging and metrology projects at the centre.

Key Responsibilities:

• Expected to work with the PI and other team members for doing R & D and take key role for the development of the systems for bioimaging and metrology
• Conduct and coordinate research within NTU and collaborating partners in line with its research strategy under the supervision of the PIs and collaborators
• Publish research outcomes in journals of international standing; Attend and present research findings and papers at academic meetings, and contribute to the external visibility of the centre.
• Draft research reports for PIs and undertake specific roles and management functions as may be reasonably required by the PIs.

Job Requirements:

• PhD in Optical Engineering, Biomedical Engineering, Mechanical Engineering, Precision Engineering, Electronics Engineering, Physics or a similar discipline with optics and instrumentation background
• Previous experience in high-resolution imaging, bioimaging, optical measurements, metrology, spectroscopy, hyperspectral imaging (HSI), and machine vision are desirable
• Expertise in handling and maintenance of high power CW and pulsed laser systems, spectrometers, high-resolution cameras, and delicate optical components are desirable
• Possess good programming, optical instrumentation, automation and image processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ)
• Proven publication track record would be an advantage

We regret that only shortlisted candidates will be notified.

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

Smart Virtual Systems (SVS) Group is seeking a highly motivated Research Engineer/ Senior Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will work closely with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

• Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.
• Implement MLOps best practices to automate model training, deployment, and monitoring processes.
• Implement and optimize machine learning algorithms and deep learning architectures.
• Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.
• Optimize AI pipelines for scalability, reliability, and performance.
• Conduct performance analysis and optimization to improve model efficiency and accuracy.
• Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

• Bachelor or Master Degree in Computer Science/Engineering or relevant disciplines
• Must have a minimum of 5 years of experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerisation Technologies
• Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular
• A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Can do attitude and happy to interface with multiple stakeholders
• Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail
• Excellent verbal and written communication skills
• Hands-on experience with machine learning frameworks/libraries
• Understanding of machine learning algorithms and techniques
• Familiarity with deep learning architectures and natural language processing (NLP) techniques.

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

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

Smart Virtual Systems (SVS) Group is seeking a highly motivated Scientist/ Senior Scientist to lead and conduct research in modelling and optimization of enterprise multi-resource planning. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

The key roles & responsibilities include:

• Research into innovative optimization algorithms to efficiently solve multi-resource planning problems, including production scheduling, inventory management and production capacity planning
• Work with a team of engineers to translate research outcomes to practical solutions for various industry sectors
• Formulate scientific research directions and innovative proposals aligned to industry needs to secure competitive funding

Job Requirements

• PhD degree in AI, Computer Science, Operations Research, or other relevant disciplines with emphasis on optimization, machine learning and data-science
• Candidate with experience in modelling and optimization are welcome to apply
• 5 years' experience in research and leadership of R&D projects in the relevant area of expertise
• Experience in research and leadership of R&D projects in the relevant area of expertise will be an added advantage
• Programming/coding skills in developing optimization and machine learning algorithms
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Proven track record in applying optimization algorithms to multi-resource planning problems 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.

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various areas, including infectious diseases, immunology, neurodegenerative diseases, telomere biology, and genome function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Fellow

Join the laboratory of Associate Professor Francesc Xavier Roca Castella at the School of Biological Sciences. We are seeking a Research Fellow to contribute to a project focusing on the prediction and testing of genetic variants potentially affecting splicing by in silico and mainly experimental methods.

Key Responsibilities:

• Designing and executing experiments and analyses to predict and test genetic variants that could affect RNA splicing. Key techniques include splicing minigenes, high-throughput sequencing, and CRISPR-mediated gene editing.
• Interpreting experimental data and outlining its implications (substantial experience in these areas is required)
• Preparing manuscripts and presentations for both internal and external audiences
• Mentoring and train Project Officers, PhD students, and undergraduate interns, contributing to the scientific development and productivity of the lab
• Collaborative teamwork is essential

Job Requirements:

• A PhD in Biology, Molecular and/or Cellular Biology, Biochemistry, or related disciplines, with a focus on RNA splicing or related topics
• Experience in at least five of the following areas:
  Cell culture
  Standard molecular biology techniques
  RNA biology
  Human genetics
  RNA splicing
  Next-generation sequencing
  Bioinformatics
• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders
• Strong publication record
• Entry level candidates are welcome to apply

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Interested applicants are invited to apply directly at our NTU Career Portal.

We regret that only shortlisted candidates will be notified.

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

Smart Virtual Systems (SVS) Group is seeking a highly motivated Scientist/ Senior Scientist to lead and conduct research in modelling and optimization of enterprise multi-resource planning. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges.

The key roles & responsibilities include:

• Research into innovative optimization algorithms to efficiently solve multi-resource planning problems, including production scheduling, inventory management and production capacity planning
• Work with a team of engineers to translate research outcomes to practical solutions for various industry sectors
• Formulate scientific research directions and innovative proposals aligned to industry needs to secure competitive funding

Job Requirements

• PhD degree in AI, Computer Science, Operations Research, or other relevant disciplines with emphasis on optimization, machine learning and data-science
• Candidate with experience in modelling and optimization are welcome to apply
• 8 years' experience in research and leadership of R&D projects in the relevant area of expertise
• Experience in research and leadership of R&D projects in the relevant area of expertise will be an added advantage
• Programming/coding skills in developing optimization and machine learning algorithms
• Good track record of scientific publications in top journals or conferences
• Excellent technical presentation and writing skills
• Proven track record in applying optimization algorithms to multi-resource planning problems 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 RESPONSIBILITIES:

• Analysize and study packaging designs to determine customer and business needs.
• Develop Packaging concepts, test and finalized design till production.
• Issue artwork for prototyping and mass production.
• Discuss and negotiate with Engineers and Product Assurance to balance cost efficiency with design intent.
• Check drawings with engineer to confirm the design.
• Responsible for follow up and approvals for production.

Requirements:

• Diploma or Degree in Product and Industrial Design.
• Proficient with 2D and 3D software. (Eg. Adobe Photoshop, Illustrator, Parametric & Direct modeling (eg. Rhino / Alias / NX))
• Good problem solving skills.
• Good communication skill, creative and able to perform work independently with minimum guide.
• Have knowledge of packaging manufacturing processes & Design For Manufacturing.
• Motivated, positive attitude and eager to learn.
• Minimum 2 years of work experience.

Others:

• Working Location: Bulim Walk (nearest MRT: Boon Lay)
• Mondays - Fridays: 8:00am to 5:30pm
• Uniform & Lunch provided
• Company transportation at various pickup points (Northern & Western areas of Singapore)

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

This project will be on recycling of spent lithium ion batteries.

Key Responsibilities:

• Scoping studies on recycling of lithium- ion batteries and circular economy potential in Singapore
• Experimental techniques for upcycling metals
• Synthesis and characterization of battery materials and fabrication. Precipitation, characterization and purity analysis of products by various characterization techniques
• Carry out optimization of the equipment and SOP of various processes for batteries
• Prototyping activities including proof of concept demonstration of successful processes
• Responsible for project goals, deliverables, and objectives of the company project
• Preparing and delivering Meeting presentations, notes, updates, and reports as per the request of the project

Job Requirements:

• Possess at least a Bachelor’s degree in Materials Science/Engineering or related disciplines.
• Experience in working on battery systems , Recycling
• Synthesis of new cathode and anode materials for batteries
• Wide knowledge of different synthesis methodology for various materials
• Expertise in materials characterization techniques including ICP-OES, XRD, SEM, TEM, spectroscopic techniques,
• Knowledge of electrochemical studies, including such as electrodialysis, electrodeposition, galvanostatic, potentiostatic, impedance techniques
• An effective team player with good communication & interpersonal skills
• Ability to work in a team as well as independently without supervision
• Able to work under pressure and meet tight deadlines
• Good interpersonal skills.
• Good communication and writing in English - for research purposes
• Strong responsibility for research / work

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