Metta Hospice Care (慈光安宁居家护理中心) is a key service provided by the Metta Welfare Association. As a member of the Singapore Hospice Council and the Asia Pacific Hospice Network, Metta Hospice Care provides free home hospice services to terminally ill patients of all ages and backgrounds.

Since our establishment in June 2000, we have supported over 5,000 patients in maintaining dignity and quality of life during their final phase at home. We care for patients referred by medical institutions and general practitioners, typically those diagnosed with life-limiting illnesses such as cancer and end-stage renal failure.

Our comprehensive care includes medical consultations, nursing assessments, and psychosocial support for both patients and their families, with additional emotional and social support provided by our Social Worker as needed.

As a Staff Nurse, the candidate is responsible in the following areas:

• To perform home visits to palliative care patients who are being referred
• To perform nursing assessment on the patients.
• To initiate nursing care plan and implement new measures of management.
• To adjust current medication to achieve maximum symptom control under doctor’s instruction
• To work closely with the Medical Director/Outsourced doctors on the cases.
• To educate caregivers/families on basic nursing procedures to ensure comfort and care
• To refer patients to other professional bodies such as inpatient hospice when the need arises for symptom control or respite care.
• To identify patients and families in need of financial assistance and refer to social worker/counsellor.
• To identify patients and families in need of specialized counseling to the relevant professionals.
• To prepare families for approaching death.
• To provide family with the emotional and bereavement support when necessary

Other Responsibilities

• To participate in Fund raising activities when the need arises.

Requirements:

• Minimum of 3 years of related experience.
• Diploma or degree in Nursing or equivalent, with a Nursing Certificate in Palliative Care.
• Registered with the Singapore Nursing Board.

Join Us:

If you are passionate about providing compassionate care to those in their final stages of life and want to make a meaningful difference, we invite you to join our dedicated team at Metta Hospice Care. Together, we can offer comfort, dignity, and support to patients and their families during their most challenging times.

Job Scope

• Performing nursing duties related to departent
• Patient Care duties
• Patient Education
• Other ad-hoc duties assigned

Job Requirements

• Valid SNB & BCLS
• Need to know cannulation, IV drip
• Able to do clinical admin work

Interested candidates can write in to Ann at [email protected]

Ann Goh Xin Ting
R1875289

Recruit Express Pte Ltd
E.A License: 99C4599

Job Description:

Nursing duties such as but are not limited to:

▪ Monitoring critical patients in the exotics ward.

▪ Assisting the exotics veterinarians in the care and treatment of inpatients.

▪ To actively pursue the acquisition of skills and knowledge in handling exotic animals.

▪ To be able to work well with the team, show mutual respect, creating a positive culture and environment.

▪ Attend in-patient rounds and engage in self-learning such as attending continuing development lectures and reading books and journals.

▪ Assist veterinarians with triage and assist with new case admissions.

▪ Assist veterinarians and specialists with procedures/surgeries.

▪ To perform anaesthesia under veterinary supervision and aid with the anaesthesia monitoring and recovery of cases.

▪ Restraining patients for examination and treatments.

▪ Cleaning cages/brooders, laundry, food bowls, and making sure the ward area is presentable at all times.

▪ Feeding patients.

▪ Discharging patients, preparing patients for surgeries, and postoperative bandaging and recovery.

▪ You will be required to update medical records and client communication.

▪ To perform diagnostics such as blood draws, IV placement, and taking radiographs for patients.

Requirements:

Junior Nurse

- Diploma in vet tech or relevant nursing qualification.

- At least one (1) year of work experience in the veterinary industry.

- Strong communication and interpersonal skills, with the ability to work under pressure.

Senior Nurse

- Degree or Diploma in veterinary technology or relevant nursing qualifications.

- At least five (5) years of work experience in the veterinary industry.

- Strong communication and interpersonal skills, with the ability to work under pressure.

- A minimum of three (3) years of leadership experience is preferred.

Job Description

Provide direct quality peri-operative patient care in Major Surgery Suites (MSS), uphold professional standards through continuous education, supervision and development and maintain accurate records.

Key Responsibilities

• To assess, plan, implement and evaluate the peri-operative patient care in order to achieve optimum patient outcomes for surgical patients.
• To participate in the implementation of clinical practices and standards including utilisation of new technologies, regular clinical nursing audits to ensure high quality standards of peri-operative care being rendered to the patients.
• To demonstrate good and competent clinical skills, knowledge and critical thinking in the delivery of quality operating room nursing skills.
• To be a team player as part of the MSS team to deliver a high and safe standard peri-operative patient care providing supervision and support where appropriate.
• To participate in the care and maintenance of specialised equipment, ensuring an agreed standard of decontamination or disinfection at all times including accurate record for traceability of all equipment.
• To actively be involved in committee/s at departmental or hospital level when nominated to represent on term or ad hoc basis.
• To participate in the orientation, training and education of junior and newly recruited nurses for continuous professional development and maintaining their level of competencies.

Requirements

• Diploma of Nursing or Degree in Nursing or equivalent.
• Advance Diploma or post-basic qualifications in Peri-operative Nursing or equivalent.
• Singapore Nursing BoardPracticing Certificate for Registered Nurses.
• At least 6-8 years experience in hospital clinical settings of which 5 years in Operating Room (OR).
• Leadership role in Operating Room.
• Possess good clinical knowledge in Operating Room domain.
• Good interpersonal skills
• Good communication skills (written & oral).
• Good clinical skills and knowledge.

Role:

Enrolled Nurse / Clinic Assistant

• Location: Rotation among 3 clinics
• Working Days: 5.5 days
• Working hours : 8:30am - 5:30pm , 8:30am - 1:30pm
• Salary : $2,500 - $3,000 [ Depends on experience ]

Job Scope

Provision of basic nursing duties

Provide medical care and counselling to patients

Perform basic triage, assist in minor procedures

Maintain drugs inventory level and perform quarterly stock take

Any other duties

Requirement

Nitec or Diploma in Nursing

At least 1 year of working experience

✅ Wee Yuan Huan

✅ Reg No: R21100383

✅ The Supreme HR Advisory Pte Ltd

✅ EA No: 14C7279

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 Assistant Professor Andrea Phua’s lab on a range of projects, primarily “Investigating the cognitive functions of neuronal cilia in dorsomedial striatum- mediated goal-directed learning”.

The main responsibilities of the position include:

• Conducting mouse behavior experiments
• Conducting mouse brain stereotaxic surgeries
• Managing mouse breeding colonies
• Performing molecular biology experiments e.g. virus vector production

Qualifications

The candidate should hold a Bachelor’s Degree in Biological Science, Biomedical Science, Biotechnology or Veterinary Technology. Polytechnic diploma holders with relevant skills and experience are also encouraged to apply.

Skills:

• Strong interest in neuroscience research
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Experience in small animal care, surgery and husbandry
• Understands small rodent behavior
• Good knowledge of molecular biology e.g. genotyping, molecular cloning, virus vector production, mammalian cell culture

About the Company

DQ Lab Pte Ltd is a global social enterprise based in Singapore. It is dedicated to providing global benchmarking tools of the DQ global standards through real-time data assessment and visualization that empower individuals, organizations, and nations to be digitally safe and competent. DQ Lab is affiliated withDQ Institute (DQI), an international think-tank that is dedicated to setting global standards for digital intelligence and to ensuring the safety, empowerment, and well-being of individuals, organisations, and nations in the digital age. DQI seeks to promote and coordinate digital intelligence education worldwide by using the DQ framework as a set of global standards for digital literacy, skills, and readiness (https://www.dqinstitute.org/; https://www.poweredbydq.com/ ).

Responsibilities

We are looking for researchers who can bring their talents to contribute to the evaluation and accreditation of digital literacy educational programs. This exciting project will involve partnership work with large scale international organisations such as the international telecommunications union (ITU), IEEE, the G20 Civil Society, and others.

As a Research & Development Analyst, you will bring enthusiasm, energy, and passion to your work on issues at the forefront of education and technology. Our team values problem-solving, analytical and statistical skills. Our ideal candidates are smart, creative, analytical thinkers with meticulous attention to detail.

The researcher will take the lead on a scheme where DQ Lab evaluates and accredits the educational content of partners and clients. You will manage relationships with international partners including governments, NGOs, schools, universities, and private companies. Moreover, you will study their educational materials, evaluate their alignment with DQ Global Standards and produce on-/off-line reports and presentations while working alongside our partner organisations.

You will be part of an international team working closely with colleagues from data science and IT development. In addition, you will work closely with partners and advisors who work at the cutting edge in the fields of psychology, public policy and education research. You will engage with partners from globally renowned NGOs and social enterprises as well as figures from various governments.

Important Requirements

● Highly knowledgeable in psychology, education or political science

● Have a keen interest in education, technology and future readiness

● Have a bachelor’s or master’s degree in psychology, education or another relevant field

● Should be independent and able to work as part of a small team

● Curious, creative and willing to learn

Desired Background

● Education: Hold a bachelor’s or master’s degree in psychometrics, psychology, education, political science, global studies or a related field.

● Experience: Relevant professional experience with research or technology companies is desirable.

Knowledge, Abilities, and Skills

MUST

● Exceptional theoretical and practical knowledge in the conception of studies and questionnaires.

● Excellent verbal and written communication skills.

● Be able to research strategy and support the strategic direction.

● Be able to translate science to educators and policy makers.

● Be able to understand statistics and to communicate with data scientists.

● Be able to work effectively independently and as part of a team.

● Be able to adapt to a dynamically changing environment.

PREFERRED

● Agile in managing multiple tasks and priorities.

● Strong analytical and problem-solving skills.

● Experienced in UX/UI design or product management.

● Strong interpersonal skills; ability to work effectively independently and as part of a team.

● Proven problem-solving skills.

● Excellent interpersonal and communication skills.

Please apply here: https://talent.sage.hr/jobs/55729b46-20ca-4792-9df2-360f30fbb5e3

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Research Software Engineers with the following backgrounds and experience:

- Full-stack Software Development

- Distributed Systems

- Hospital Information Systems and Healthcare Applications

- Cybersecurity and Software Security

- High-performance Computing

- Network/System Administration

As a Research Software Engineer, the successful candidate will contribute to these developments by producing software tools, platforms and libraries as vehicles to carry out impactful research, develop engaging and interactive demonstrators and translate early-stage research prototypes into robust and usable applications.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for.

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

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 Life Sciences Institute is a research centre dedicated to the understanding of fundamental biological pathways in human health and disease, environmental science and industrial processes.

We promote scientific discovery through creative and multidisciplinary approaches in an environment that is highly collaborative. We also seek to integrate our pioneering basic research with the application and exploitation of new research discoveries. LSI brings together scientists and clinicians from five NUS faculties and supports advanced core facilities and cutting-edge research infrastructure.

We are looking for an individual trained in cell culture, transfection and standard molecular biology assays such as confocal microscopy, flow cytometry, western blot, immunohistochemistry.

The job would include performing:

1. In vitro experiments with cell culture
2. Standard molecular biology assays such as immunostaining, convocation microscopy, flow cytometry, cryosectioning
3. Performing in-vivo experiments with rodents - involves rodent anaesthesia, perfusion, dissection
4. Helping out with purchasing items and laboratory housekeeping

Qualifications

Applicant should:

• Successfully completed Bachelor's Degree in Life Sciences
• Preferably have prior knowledge in tissue cryo-sectioning, preparation of paraffin-embedded tissues and familiar with immunofluorescence staining of animal tissues.
• Be comfortable with animal handling. Prior experience is preferred but not required
• Preferably have prior experience in basic laboratory techniques such as cell culture, histology, and confocal microscopy is advantageous.
• Proficient in English.
• Preferably be proficient in lists of software eg. ImageJ, GraphPad Prism and BioRender.
• Be highly motivated, independent, detail-oriented

Please include your cover letter, CV and names of 3 references (name, institution, email) upon application. Shortlisted candidates will be contacted.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary

We are currently recruiting a position for a Research Scientist to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for optimizing enzyme production.

Requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Knowledge in bioinformatics (sequence analysis, protein structure prediction)
• Knowledge in AI backend, e.g. tensorflow, pytorch
• Knowledge in optimizing ML or AI models to meet target specification
• Apt learner and versatile in applying new computational techniques to solve open problems

Main responsibilities of the incumbent (not limited to):

• Manage and preprocess data
• Code and script based on specified tasks
• Statistical analysis and machine learning experience in the following areas:

- Optimization algorithms

- Supervised learning

- Unsupervised learning

- Sampling algorithms

- Deep learning algorithms

• Summarizing results for reporting purposes
• Participate in seminars and research-in-progress meetings within the team and collaborators
• Write and publish scientific papers and patents

Qualifications:

· At least a PhD in any of the following areas: statistics, data science or computer science

Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary

We are currently hiring for a position of Research Scientist to join Wilmar’s corporate lab (Wil@NUS). The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from Wilmar's factories or R&D centres using ML or AI for food product development.

Requirements:

• Team player and ability to communicate technical concepts to lay people
• Ability to code in a few languages - R, python, java, bash
• Knowledge in bioinformatics (sequence analysis, protein structure prediction)
• Knowledge in AI backend, e.g. tensorflow, pytorch
• Knowledge in optimizing ML or AI models to meet target specification
• Apt learner and versatile in applying new computational techniques to solve open problems

Main responsibilities of the incumbent (not limited to):

• Manage and preprocess data
• Code and script based on specified tasks
• Statisticalanalysis and machine learning experience in the following areas:

- Optimization algorithms

- Supervised learning

- Unsupervised learning

- Sampling algorithms

- Deep learning algorithms

• Summarizing results for reporting purposes
• Participate in seminars and research-in-progress meetings within the team and collaborators
• Write and publish scientific papers and patents

Qualifications:

· At least a PhD in any of the following areas: statistics, data science or computer science

Job renumeration commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.

Staff Nurse | Orthopedic | Up to $4.8k | Orchard

Working Hours: Mon to Fri 8.30am to 5.30pm. Sat 8.30am to 12.30pm
Working Day: 5.5 days
Working Location: Mount Elizabeth - Orchard
Basic Salary: $4000 - $4800

Job Description

• Manage appointment for the clinic
• Manage Hospitalization administration ensure smooth transition
• liaise with implant company to coordinate implants for surgeries
• Perform as a scrub and circulating Nurse
• Medication Management
• Basic dressing
• Taking of Vital Sign

Job Requirements:

• Diploma in Nursing, SNB Registered
• Proficient in Microsoft Words, Excel, Power Point and Outlook
• Relevant experience in Orthopaedic
• Experience in Private specialist clinic setting

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

The Choksi research group is seeking a Research Fellow funded by a grant through the C4T Phase 2 No Cost Extension hosted at the Energy Research Institute at NTU (ERIAN). The Research Fellow will help advance foundational knowledge in understanding the stability and synthesizability of porous materials using computational methods. The research fellow will employ electronic structure calculations, first principles thermodynamics, and machine learning methods to develop a paradigm for the predictive synthesizability of porous materials..

This appointment is until the end of the project, 31 October 2025.

Key Responsibilities:

• Performing ab initio calculations for heterogeneous catalysts
• Using ab initio thermodynamics to determine catalytic structures under working conditions
• Calculating reaction rates using microkinetic models.
• Understanding the stability of nanoparticle catalysts
• Working together with PhD students from Choksi’s group, and undergraduate researchers
• Writing papers and delivering technical presentations.

Job Requirements:

• PhD or equivalent in chemical engineering, chemistry, physics, material science or an allied field.
• Between 0-3 years of post-PhD work experience.
• Extensive experience in using quantum mechanical and molecular modelling packages like VASP and Quantum ESPRESSO, has advanced knowledge of first principles thermodynamics, and reaction kinetics modelling.
• Familiarity with Python and working in a Linux based platform is a bonus.
• Intellectually curious and think deeply and creatively.
• Good interpersonal skills and enjoy working in cross disciplinary teams.
• Demonstrate proficiency in written and spoken English for research purposes
• Ability to work independently.

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• The Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• The Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

The Dementia Research Centre (Singapore) at the Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore is looking for candidates with PhD training and a research track record in Biomedical science, Psychology and engineering or related disciplines to support our growing portfolio of exciting multimodal neuroimaging analyses in neurodegenerative disorders, especially under the Science of Learning initiative. We are a vibrant team studying brain alterations in the preclinical cognitively normal individuals and in early stages of young and late-onset dementia in subjects from Singapore using multimodal structural and functional brain imaging and statistical analyses to predict disease progression and conversion.

Job Description

The candidate will provide research support to the principal investigator and team in the organisation, processing and analyses of neuroimaging data as well as using various neuroimaging, biomarker and neurocognitive data for developing advanced machine learning algorithms for disease prediction and progression for dementia-related studies at the Dementia Research Centre (Singapore), in adherence to the International Council for Harmonisation Good Clinical Practice (ICH GCP) and protocol requirements. This position offers an excellent opportunity to develop and refine in demand skills in clinical research in the field of ageing and dementia especially under the new Science of Learning initiative at the centre. Successful candidates will assist in high value research endeavours and perform a variety of functions, such as:

• Organize and execute processing of imaging data using open source imaging algorithms and interpret results from neuroimaging studies
• Organize, fine-tune and execute neuropsychological testing
• Perform project coordination and assist with data collection, organisation and data management under the purview of the grant
• Perform study-related statistical analyses
• Develop machine learning models to track disease progression using advanced statistical analyses
• Conduct literature reviews
• Prepare analysis plans, reports and manuscripts

Job Requirements

• PhD in Biomedical Engineering or Neuroscience or Psychology and related fields
• Have experience in dealing with data on disorders of the nervous system such as Alzheimer’s disease, Parkinson’s disease and other dementias
• Experience with human brain imaging data will be highly regarded
• Hands-on experience in data analyses and implementing statistical analysis using statistical software such as R, Python and MATLAB
• Proven track record in research with evidence of publications or other research outputs
• Keen interest in clinical research and hypothesis testing and good critical thinking skills
• Good IT literacy skills
• Excellent verbal and written communication skills
• Good communication and interpersonal skills

A research fellow position is available in the DNA and RNA Editing (DaRE) Laboratory at the School of Chemistry, Chemical Engineering and Biotechnology (CCEB) in NTU. The laboratory, led by Assoc Prof Tan Meng How, works on developing and applying cutting edge biotechnologies, including high throughput next generation (NGS) sequencing, CRISPR-Cas, and deep learning methodologies to read, write, and decipher the genome and transcriptome of living cells. The research fellow will be involved in efforts to develop and/or apply new tools and methodologies to push the boundaries of genomics and synthetic biology.

Key Responsibilities:

• Develop and/or apply new genome and transcriptome engineering technologies
• Perform functional genomics assays and other wet-lab experiments
• Analyze experimental data and prepare reports and presentations
• Write and publish high-impact journal papers
• Guide graduate and undergraduate students

Job Requirements:

• A PhD degree from a reputable university in science or engineering
• Strong research experience in biological sciences, bioengineering, biotechnology, or a related discipline (such as genomics, genetics, computational biology, cell biology, molecular biology, synthetic biology etc.)
• Outstanding publication track record, preferably with a first-author paper in a high-impact journal
• Demonstrated ability to work well in a team
• Good working knowledge of the latest genomic technologies

To apply, please submit a CV, brief statement of research interests, and contact information for at least two references to [email protected].

We regret that only shortlisted candidates will be notified.

Please apply here: https://talent.sage.hr/jobs/b0aa80ab-6951-4717-b49e-37ac3c199206

Applicants will need to include a Cover Letter and CV with publication list.

Applications will be reviewed on a rolling basis, with final submission 20 January 2025.

We are particularly looking for Machine Learning Research Engineers with the following backgrounds:

- Generative Modelling (particularly LLMs and multi-Agent systems)

- Data science

- High-performance Computing

- Data-driven personalised healthcare

- Model-based personalised healthcare (e.g. pharmokinetic modelling)

- Translational and regulatory expertise in medical devices

As a Machine Learning Research Engineer, the successful candidate will contribute to the programme by developing and implementing novel machine learning algorithms with focus on security and data privacy, as well as translating recent AI advancements to the healthcare setting.

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers and Research Fellows to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems.

The successful candidates will join the research programme which represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS) housed within the unique CREATE campus.

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Dr Viktor Schlegel, Deputy Programme Director [email protected], together with an indication of the specific position you would like to apply for.

Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer 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 motivated and fast learner to participate in projects involving the development of RNA therapeutics.

Job Description:

• Produce and assay RNA using techniques such as in vitro transcription, qPCR, and next generation sequencing
• Perform molecular biology assays such as molecular cloning and Western blots
• Perform irological assays in cell culture for a wide variety of RNA pathogens, including chikungunya virus, Zika virus, dengue viruses, enteroviruses
• Perform meticulous recordkeeping and draft reports and presentations to collaborators
• Oversee daily laboratory activities and help manage the lab’s routine admin duties
• Help new students and postdocs settle into the lab, transfer techniques to them, and participate in their research
• Ensure safe technical practices and procedures

Job Requirements

• Bachelor Degree in Biomedical Sciences, Biochemistry, Life Sciences, Biological Sciences, Infectious Diseases, Microbiology, Immunology, or related field
• At least 3 years wet lab experience and relevant experience in molecular biology and in cell culture
• Experience with RNA techniques (RNA extraction, qPCR, next generation sequencing, northern blotting) is preferred
• General lab skills in molecular biology (cloning, PCR)
• 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.

Amethyst Partners is a specialised recruitment organisation in the asset management industry and due to a team expansion, we are currently looking for Junior Researchers to perform the following:

• Assist Recruitment Consultants with effective and timely assignment delivery.
  
• To undertake executive research, and candidate management activities, and keep candidate and client information updated.
  
• Conduct researches to identify suitable candidates for each candidates including targeted market mapping, talent pooling, database searching, networking and headhunting
• Building relationships with candidates and keeping track of their career goals and progress
• Approach suitable candidates and screen against agreed competencies and criteria for each project.
  
• Capture and maintain accurate market, client and candidate information on the company’s database
• Maintain database and other ad-hoc assignments

Business Registration Number: 201824722D. Licence Number: 20C0180. EA Personnel Registration Number: R1762339

Responsibilities

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance sponsorship of a visa.

About Doubao (Seed)

Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.

With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About The Team

The Doubao Large Language Model (LLM) team is dedicated to aggressively advancing the next generation of LLMs, tackling fundamental challenges in LLM development head-on. Our areas of concentration include model self-learning, memory capabilities, long-text generation, and interpretability. We dive deep into the latest technologies and create comprehensive solutions from concept to completion. In our endeavor to adopt LLMs in real-life scenarios, we persistently seek out methods to enhance applications through technological innovation.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

1. Skilled in discovering simple and universal ideas for optimizing large models and applying them to models of various scales to improve performance;

2. Explore the boundaries of large-scale models and perform extreme system optimization to improve model performance and efficiency;

3. Promote the work of data establishment, instruction fine-tuning, preference alignment, and model optimization to improve the quality and adaptability of the model;

4. Relevant application landing, including generation creation, logical reasoning, code generation, etc;

5. Conduct in-depth research and explore more usage scenarios of the model in future life, and expand the application scope of the model.

Qualifications

Minimum Qualifications

1. Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.

2. Proficient in coding ability, familiar with data structure and basic algorithm foundation, skilled in C/C++ or Python; 3. Familiar with algorithms and technologies related to NLP and CV, with a good research record in the relevant field; 4. Excellent problem analysis and problem-solving skills, able to deeply solve problems existing in large-scale model training and application;

5. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.

Preferred Qualifications

1. Familiar with large model training and RL algorithms;

2. In the field of large models, those who lead projects or papers with too much influence are preferred.

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

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy.

If you have any questions, please reach out to us at [email protected]

We are seeking a Research Associate to join a university-level research centre. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced cryptographic protocols for privacy protection of machine learning models in AI accelerators. Candidates are expected to have a strong background in relevant areas.

Key Responsibilities:

• Conduct research on the design and implementation of applied cryptographic protocols for privacy-preserving of AI models and data.
• Conduct research on the development of security and privacy enhanced solutions for AI accelerators.

Job Requirements:

• Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in cyber security, machine learning, computer hardware, and related areas.
• Strong publication records in top-tier artificial intelligence or computer security conferences/journals, such as ICLR, ICML, NeurIPS.
• Expertise in developing efficient and practical solutions for AI model protection.
• Good command of English, both oral and written along with the ability to communicate effectively with a wide range of individual and professional groups

We regret that only shortlisted candidates will be notified.

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

The job is for automated high-throughput experimentation and robotic development, running AI-driven automated worklows for thin film development, electrical and opto-electronic characterization as well as device applications. The RF will be responsible for building a fully automated robotic platform to execute the scientific goals laid out in the project, with multi-layer perovskite film deposition and crystallization, followed by rapid characterization to create a database (primarily building upon the SpinBot system we have purchased from SciPrios: https://www.sciprios.de/lab-automation/spincoating-robots/ ). The RF is also expected to execute optimization algorithms developed by the team to identify relevant regions of interest in the input parameter space. Python programming, database management and robotic interfacing (both with robots and electrical and mechanical equipment) is necessary for this job.

The work is critical in the goal of materials-by-design, especially considering sparse, yet well-labelled materials science datasets. The work performed here will continue to maintain NTU’s leadership in the space of AI for materials science, especially with digital discovery and data-driven learning being pioneering areas of research.

Key Responsibilities:

The Research Fellow is expected to work in the space of High-Throughput experimentation and automated robotics for synthesis, thin film deposition and electrical and opto-electronic characterization. Specifically, the RF is expected to work on the following areas of research:

• Building a self-driving lab with robots, spin-coater and/or doctor blade coating systems, integrated with sample transfer and electrical and opto-electronic characterization.
• Operating and maintaining the robotic systems and working with protocols, interfacing with characterization equipment, environmental chambers, and a data management system.
• Execute optimization algorithms that allow for fully automated experimentation, working closely with other members of the team.
• To assist in the creation and maintenance as well as performance of experiments in a self-driving thin film lab along with driving the scientific goals of the project, hypothesis generation and working closely with a 4-member PhD team.

Job Requirements:

• PhD degree in materials science, physics, chemistry, electrical engineering and/or related field
• Strong previous experience in building and assembling robotic systems, especially in materials research is critical.
• Experience in solution-based materials deposition is necessary, especially in halide-perovskite based systems.
• Skills and experience in quantitative research, robotics and electrical characterization and interfacing.
• Expertise in materials characterization techniques is necessary.
• Good analytical and academic writing skills
• Must also be informed in data management
• A good team player with effective communication skills and the ability to work closely with faculty, staff and external collaborators
• Good project management skills
• Entry level candidates are welcome to apply

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

• The Research Engineer will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems
• The Research Engineer will help to develop machine learning models for both theory and applications in advanced control systems

Job Requirements

• B.S. or M.S degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Chemistry, etc.
• Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
• Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

The Delta-NTU Corporate Laboratory for Advanced Robotics was jointly established by Nanyang Technological University (NTU) and Delta Electronics in June 2016, supported by A*STAR. The Lab aims to create business value through collaborative commercialization of translational research and technology development. This is a Phase 2 project.

Key Responsibilities:

• Work on a project to conduct the research on the development of Three-dimensional Simultaneous Localization and Mapping (3D-SLAM).
• Literature review of 3D-SLAM
• Simulations of a SLAM algorithm in an edge hardware platform with limited computation complexity
• Machine learning algorithms for data fusion
• Write papers on the research done during this project.

Job Requirements:

• Master degree in Electrical and Electronic Engineering from a reputable university
• Working experience in related areas
• Knowledge and experience in machine learning and robotics
• Knowledge and experience in signal processing, and robot navigation
• Good publication track record in related areas
• Proficiency in basics of programming languages such as C, Java, Matlab and Python
• Proficiency in English, both spoken and written - for research purposes

We regret that only shortlisted candidates will be notified.