Total 2,110 Science / R&D / Research job vacancies

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

The research associate will focus on Vision-Language Model based situation awareness and decision-making for autonomous vehicles

Key Responsibilities:

• The research associate will be leading the development of Vision-Language Model based situation awareness and decision-making models for autonomous vehicles.

• The work will involve model training, test rig set-up, and experimental validation

Job Requirements:

• The candidate must at least have a Master Degree in AI, Robotics, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, etc.

• Strong background in AI, Large Language Model, autonomous driving, deep learning, interaction modelling, prediction, robotics and automation.

• Candidates having relevant research or working experience in LLM/VLM and AI decision-making algorithms for end-to-end autonomous driving will be preferred.

• Good communications skills and the ability to work independently and facilitate projects with minimal supervision.

• Able to contribute to Journal/Conference papers with good presentation skills.

• Able to plan and organize well and adhere to deadlines

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

The Opportunity:

Join Financial Services Organisation (FSO) and you will work with multi-disciplinary teams from around the world to deliver a global perspective. We are the only professional services organisation who has a separate business dedicated exclusively to the financial services marketplace dealing with asset management, banking and capital markets, insurance and private equity.

Our Insurance and Actuarial Advisory Services practice comprises two areas: Life/Health Insurance and Property/Casualty products and services. Join this team and you will provide clients with traditional actuarial services (e.g., reserving, pricing and mergers and acquisition support), as well as leading edge services such as financial reporting and measurement, financial risk management, modeling, hedging, reinsurance, securitization, economic capital and solvency.

Your Key Responsibilities:

As part of our Actuarial team, you’ll work on high-impact opportunities to apply your knowledge and experience working on:

• Market research and industry benchmarking.
• Valuation, pricing and product development.
• Regulatory changes, including Risk-Based Capital, Solvency II and IFRS.
• Merger & Acquisitions (M&A) and due diligence projects.
• Actuarial audits and financial modelling.
• Financial risk, product distribution and capital issues.

What we look for

• You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
• You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
• You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust.
• Qualifications:University degree related to Actuarial Science or equivalent.
  Experience and/or demonstrated passion in understanding of economic or market issues and the ability to interpret their impact on clients. This passion could be demonstrated via university projects, internships, conferences, self-study, etc.
  Experience and/or desire to pursue actuarial examinations with either the Institute and Faculty of Actuaries (UK), the Society of Actuaries (US) or the Institute of Actuaries of Australia.
  

What’s in it for you

• Accelerate your technical capabilities and transformative leadership skills with future-focused courses and development programs.
• Broaden your horizons by working on highly integrated teams across the globe and collaborate with people of diverse backgrounds — both professionally and culturally.
• Bring out the best in yourself with continuous investment in your personal well-being and career development.
• Develop your own personal purpose and help us create a positive ripple effect on our teams, our business, clients and society – building a better working world, together.

What you can expect

• Shortlisted candidates can expect up to 3 interview rounds with the hiring team.

Please note that for your application to be considered, you are required to upload/send in the following documents along with your online application:

• Detailed resume with indicative interest in Life or General Insurance work
• Highest academic certification and transcripts

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• RA & HR Management: Recruit, screen, onboard, and train undergraduate RAs each cycle; coordinate IT access and lab setup; develop and manage RA schedules to ensure full coverage across all sessions; run pre-wave QA sessions and share feedback with researchers.
• Lab Setup & Researcher Coordination: Configure SPS each term: create and distribute master surveys to faculty; open wave timeslots; verrfy IRB approvals; solicit studjes from researchers and manage wave deadlines across 6+ data collection waves per year; coordinate with relevant departments in advance to secure lab availability for the full term.
• Instructor Coordination & Credit Management: Coordinate with 1 O+ course instructors-each term on student sign-ups and study announcements; develop and tailor lab-related informational materials to meet the specific needs of each course; reconcile ~4,000 student credit entries per term; resolve discrepancies and process alternate assignment credits.
• Budget & Reporting: Lead the annual budget cycle; prepare and present term-end lab usage reports to the Marketing group; run BLAB departmental meetings.
• Daily Lab Operations: Oversee all communications for BLAB; prepare each lab session by ensuring IT readiness, coordinating technical support when needed, and maintaining a clean and functional lab environment; process participant cancellations and rescheduling in SPS; respond to student and researcher queries: provide on-call RA support during all data collection sessions; troubleshoot SPS and study issues, serve as backup study runner when needed.

• PhD in marketing, psychology, statistics, engineering, or a closely related discipline would be ideal.
• Prior experience in academic behavioral research, preferably including hands-on involvement in laboratory-based experimental studies.
• Familiarity with institutional research processes, including IRS/ethics protocols and subject pool management.
• Proficiency with online survey and subject pool platforms (e.g., Qualtrics, SONA/SPS).
• Strong understanding of experimental research design and behavioral data collection procedures.
• Excellent organizational and project management skills, with the ability to manage multiple concurrent workstreams across a full academic calendar.
• Strong interpersonal and communication skills for coordinating across faculty researchers, course instructors, undergraduate RAs, and university administrative offices.
• Strong troubleshooting ability, with a proactive approach to identifying and resolving technical and logistical issues under time pressure.
• Working knowledge of relevant computing and technical systems (e.g., survey platforms, lab IT setup, basic data handling), with the ability to quickly learn new tools.
• High attention to detail, particularly for data reconciliation and credit verification tasks involving large datasets.
• Experience supervising or training undergraduate research assistants is an advantage.

#LI-KC1

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Chemistry%29/32331-en_GB/?st=0C695482479A26439C61C146FF34CFF3475D1E3A

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with A/P Yeo Boon Siang Jason on developing electrocatalysts for CO2 reduction to long-chain hydrocarbon.

The main responsibilities of the position include to prepare and characterize electrocatalysts for CO2 electroreduction. 

Qualifications / Discipline: 
•    PhD in Chemistry

Skills: 
•    Experimental knowledge in electrocatalysis

Experience: 
•    At least 4 years of work in this area of research

We are seeking a Research Associate to join a university-level research centre collaborating with industry. The role will be involved in a project that is related to object detection.

Key Responsibilities:

• To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Master’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in machine learning and computer vision. Prior experience in data-efficient classification, synthesis, and detection is preferable.
• Strong coding skills in scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Proven research ability as evidenced through a portfolio of publications and/or conference papers and/or patents.
• Strong background in R&D with self-motivation and initiative. Ability to develop and manage R&D projects with good understanding of industrial needs.
• Strong research and technical expertise in the project domain, including experimental design, modelling methods, prototype system engineering, and laboratory work, with a demonstrated ability to conduct innovative and hypothesis-driven research.
• Collaborative and supervisory capabilities, including assisting in postgraduate supervision, initiating multidisciplinary research collaborations, and overseeing and reporting project progress.

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

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Brain-Health-Lab-Paediatrics%29/28821-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) is Singapore’s flagship university, with 17 colleges, faculties, and schools across three campus. More than 40,000 students from 100 countries enrich this diverse campus community. The NUS Yong Loo Lin School of Medicine Department of Paediatrics invites applications for a Post-Doctoral Research Fellow position in the Brain Health Lab in the Department of Paediatrics. You may find out more about our research interests and goals at https://Singaporebrainhealth.org. The Principal Investigator prioritizes teaching (e.g., meets with team members regularly), rigorous methodology, and active collaborations within and outside of the university. Appointments will be made on a 2-year contract basis in the first instance, with the possibility for extension and/or faculty position in academic research. The applicant will be offered flexibility in terms of specific research direction and career development.

PURPOSE AND MAIN ROLES

1. The incumbent will have access to cognitive neuroscience data (including EEG and MRI) to established cohort in Singapore (e.g., Growing Up in Singapore Towards healthy Outcomes, GUSTO; Mapping Antenatal Maternal Stress, MAMS, etc). Data will also be available from new intervention studies in the areas of school readiness, maternal-child relational health, and executive functioning
2. He/she will have ample opportunities to analyze collected data, gain novel analytic skills, and develop new models of examining the data
3. To provide teaching to junior staff in the lab in neuroscience-related research methods, especially in pre-processing and processing of EEG data from infants/children
4. To be willing to provide expertise and assist other research staff in refining manuscripts, contributing to grant writing, and overseeing ethic board applications

Qualifications

(A) EDUCATION, TRAINING, AND EXPERIENCE

• PhD in developmental psychology or developmental cognitive neuroscience,
• Experience in EEG pre-processing, processing, and analysis, strong programming skills and/or advanced biostatistics experiences will be prioritized.
• Willing to obtain strong recommendation letters from prior research mentors or supervisors
• A track record of scientific publications and/or achievements, preferably in developmental cognitive neuroscience, child development, and psychology

1. OTHER QUALIFICATIONS AND ATTRIBUTES

• High adaptability, team player who is eager to help, good listener, willingness to receive constructive feedback, and strong organizational skills
• Passionate and clear about your own research interests
• Adept in running statistical analyses (e.g., Stata, R, SAS, MPlus) and/or in coding (e.g., Python, MATLAB)

1. LANGUAGE

• Excellent spoken and written English;
• (Optional) Speaks other commonly used languages in Singapore (i.e., Chinese, Malay or Tamil) as you may be required to interact with participants who only speak their mother tongue

Application

Remuneration will be commensurate with the candidate’s qualifications and experiences. PI is funded by primary grant funding agencies in Singapore and will offer competitive salary.

We regret that only shortlisted candidates will be notified.

• To deliver effective and engaging lessons
• To establish a positive learning environment that encourages analytical thinking and independent thinking
• To adopt different modes of assessment
• University degree with at least honours degree in the relevant subject area
• Possess teacher-training qualifications, i.e PGDE or equivalent
• Preferably former MOE teachers with experience teaching in the subject area at Secondary level

Project Overview

The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" five-year project was initiated in July 2023. It is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster livability, sustainability, innovation, and social welfare.

Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. This Postdoctoral Associate position is for a two-year term under the M3S program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore.

Responsibilities

-Collaborate with the project team and other researchers to design, implement, and evaluate research projects.

-Publish research results in top-tier journals and conferences and disseminate research findings through presentations and other means.

-Mentor graduate and undergraduate researchers and interns involved in related projects.

-Assist with grant writing, project management, and other administrative research duties.

-Perform other duties as needed. 

Requirements

-Ph.D. in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, Network Science, or a related field by the start of the appointment.

-Expertise 1: Experience with general methods in decision-making under uncertainty, including stochastic and robust optimization,  integer and combinatorial optimization, dynamic programming, and large-scale optimization; and/or

-Expertise 2: Experience with general methods in machine learning, including reinforcement learning, deep learning, generative AI, multimodal AI, statistical modeling, and network analysis.

-Experience in the integration of machine learning and decision-making.

-Strong publication record in top-tier conferences and journals.

-Excellent communication and collaboration skills.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

Interested applicants are invited to apply directly at the NUS Careerv Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Resilience-Analytics%29/32319-en_GB/?st=B03BFC758705546BADFCD227958DD543461EA016

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking two post-doctoral candidates for research in the area of food and maritime supply chain resilience analysis. The responsibilities are as follows:

(1)    Develop resilience models for complex food and maritime supply chain systems considering disruptions and climate changes 
(2)    Develop statistical inference techniques to analyze sea shipment network flow data and disruption data
(3)    Draft and submission of technical progress reports at regular intervals
(4)    Present of research progress and latest findings at regular intervals
(5)    Publish of quality research journal articles and conference proceedings to disseminate research findings internationally  

Job Requirements

(1)    Applicants should have a PhD degree in industrial engineering or other relevant areas.
(2)    A strong publication record in the area of resilience engineering.
(3)    Good at programming using Python, R, Matlab or Mathematica. 
(4)    Good English writing skills. 

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Resilience-Analytics%29/32318-en_GB/?st=807D927D20733BCC454557E5CCFFC140AB8ABD7E

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking two post-doctoral candidates for research in the area of food and maritime supply chain resilience analysis. The responsibilities are as follows:

(1)    Develop resilience models for complex food and maritime supply chain systems considering disruptions and climate changes 
(2)    Develop statistical inference techniques to analyze sea shipment network flow data and disruption data
(3)    Draft and submission of technical progress reports at regular intervals
(4)    Present of research progress and latest findings at regular intervals
(5)    Publish of quality research journal articles and conference proceedings to disseminate research findings internationally  

Job Requirements

(1)    Applicants should have a PhD degree in industrial engineering or other relevant areas.
(2)    A strong publication record in the area of resilience engineering.
(3)    Good at programming using Python, R, Matlab or Mathematica. 
(4)    Good English writing skills. 

ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on a 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. As a Research Engineer II at ERI@N, you will be at the forefront of our microgrid technology and clean energy solution development efforts, responsible for designing, testing, power and energy management systems.

Key Responsibilities:

• Design, operate and maintain the megawatt (MW) scale NTU grid testbed and support the core team in integrating new renewable energy assets such as solar inverters and battery ESS

• Review detailed electrical power systems drawings submitted by contractors and ensure safe and reliable operation of the testbed

• Manage the electrical maintenance contract of the NTU testbed and liaise with Licensed Electrical Workers or qualified practitioners on topics that involve 400V/6.6kV MW-scale distribution network

• Lead the necessary measures to maintain and improve the overall electrical system safety of the testbed

• Regularly supervise contractors at project sites in order to meet regulatory and compliance requirements.

• Literary contribution on smartgrid related proposals, industry partnerships and manage the project progress timeline, milestones and deliverables.

• Carry out field/site activities at located both in NTU and out of it as required.

Job Requirements:

• Bachelor’s/Master’s degree in electrical/power engineering with specialization in power systems or power electronics

• 3-5 years of relevant experiences in similar role / technical hands-on experience.

• Expertise in electrical system design, power / load flow analysis tools such as ETAP, PSCAD, Power Factory etc.

• Proficiency with Singapore Standard Code of Practices for electrical installations, solar inverters, ESS and EV chargers

• Sound knowledge of smartgrid automation systems, grid services, DER management and operational methodologies.

• Experience in site supervision & contract works related to electric utility industry, preferably in the area of distribution system network, power system protection & switchgear (ABB, Schneider).

• Prior experience in dealing with government agencies regarding the electrical installation licensing for solar, ESS, Diesel Storage and Hydrogen Storage.

• Experience in troubleshooting, isolation and resolution of electrical system issues

• Modeling skillsets with hardware/software in the loop such RTDS, Opal/RT and Homer is a bonus.

• An effective team player with good written, communication & presentation skills.

• Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills.

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

Job Title: QA & R&D Executive

Job Summary

We are seeking a QA & R&D Executive to support the R&DSupervisor in managing food safety systems, product documentation, regulatorycompliance, and production trials. Training and guidance will be provided,hence fresh graduates are welcome.

Key Responsibilities

1. Quality Assurance & Food Safety System

• Maintain and update ISO 22000 documentation and procedures.
• Support HACCP plan implementation and review.
• Prepare documents for internal and external audits.
• Monitor corrective and preventive actions (CAPA).
• Ensure compliance with food safety and regulatory requirements.

2. Product Specification & Documentation

• Prepare and update product specifications.
• Generate and verify Certificates of Analysis (COA).
• Liaise with suppliers for raw material specifications and documentation.
• Maintain proper documentation control system.

3. Recipe & Regulatory Management

• Assist in recipe formulation amendments.
• Review ingredient lists, allergen declarations, and labelling compliance.
• Ensure formulations meet regulatory and customer requirements.

4. R&D & Production Trial Support

• Assist in planning and executing production trials.
• Record and analyse trial data.
• Monitor product flow during scale-up to mass production.
• Coordinate with Production and Purchasing teams during new product launches.

Requirements

• Diploma/Degree in Food Science, Food Technology, or related field;
• 1 year of experience in food industry (bakery industry). Fresh grads are welcome;
• Familiar with product specifications and COA handling.
• Detail-oriented with good documentation and coordination skills.

Employment Details

• Location:                      23 Tuas Bay Walk, Singapore 637764
• Employment Type:   Full-Time, Permanent
• Work Schedule:        5-day Work  Week
• Position Level:           Junior Executive
• Monthly Salary:         $2,800 – $3,300 (Commensurate with experience)
• Transport:                    Company transport provided to and from Joo Koon MRT

Key Responsibilities:

• Plan and execute experiments towards the research objectives of the team

• Document and maintain accurate and timely records of all work conducted

• Data analysis and reporting

• Contribute to formulating hypothesis, grant writing, publications in peer-reviewed journals and present research findings at conferences, seminars, and meetings

• Participate in weekly lab meetings

• Provide research support to other team members as required

• Contribute to laboratory maintenance, purchasing, and safety duties

• Contribute mentoring to more junior members of the team where required

• Contribute to an open, transparent and collegial team culture, collaborate both within the team as well as with external collaborators

Job Requirements:

• Diploma or Bachelor’s or Master’s degree in biological/biomedical sciences or related field (including veterinary sciences)

• At least one year research experience in a wet-lab environment

• Good written and oral communication skills

• Good interpersonal skills, ability to work independently as well as in a team

• Meticulous, with attention to details

• Excellent organizational and time management skills

• Ability to work collaboratively in a fast-paced environment

Desirable:

• Prior research experience in neuroscience preferred

• RCULA certification preferred

• Prior research experience with bioinformatics is advantageous

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Chemistry%29/32330-en_GB/?st=2EFC673A73B52EBD93DE7FB6A73F4171563ACF3A

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will join Asst. Prof. LI Xiaoyan’s group to advance research in AI-accelerated multiscale simulation and modeling for CCUS. 

The main responsibilities of the position include:
•    Kinetically simulate the reconstruction of metal oxides and alloying under the reaction conditions
•    Involve AI/ML method into kinetic Monte Carlo model
•    Publish research findings in high-impact journals and present at leading international conferences.
•    Contribute to proposal writing and assist in preparing funding applications in support of group research activities.

Qualifications / Discipline:
•    PhD in Chemical Engineering, Chemistry, Materials Science, Physics, Computational Science, or a related discipline.
•    Proven research track record, evidenced by publications in peer-reviewed journals.
•    Excellent communication skills and strong interest in interdisciplinary collaboration.

Skills:
•    Expertise in computational materials science, including atomic kinetic mente carlo, molecular simulations, density functional theory (DFT), or other multiscale methods.
•    Strong programming skills (Python, C/C++, MATLAB) with experience in AI/ML methods, such as MLIP.
•    Skilled in scientific writing and communication, with experience preparing manuscripts for high-impact journals and delivering research presentations at international conferences.

Experience:  
•    Know about the structure transformation in the interface of nanomaterials under the reaction conditions
•    Strong experience in machine learning and AI-driven modeling for scientific applications, such as machine-learned interatomic potentials and enhanced sampling approaches.
•    Collaborated across computational and experimental teams to validate predictions and deepen understanding of structure–property relationships.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Chemistry%29/32328-en_GB/?st=CAF601FE578A72F7EAABA5B135903F1324636C7E

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will join Asst. Prof. LI Xiaoyan’s group to advance research in AI-accelerated multiscale simulation and modeling for CCUS. 

The main responsibilities of the position include:

•    Kinetically simulate the reconstruction of high entropy alloys under the reaction conditions
•    Involve AI/ML method into kinetic Monte Carlo model
•    Publish research findings in high-impact journals and present at leading international conferences.
•    Contribute to proposal writing and assist in preparing funding applications in support of group research activities.

Qualifications / Discipline:
•    PhD in Materials Science, Chemical Engineering, Chemistry, Physics, Computational Science, or a related discipline.
•    Proven research track record, evidenced by publications in peer-reviewed journals.
•    Excellent communication skills and strong interest in interdisciplinary collaboration.

Skills:
•    Expertise in computational materials science, including molecular simulations, density functional theory (DFT), or other multiscale methods.
•    Strong programming skills (Python, C/C++, MATLAB) with experience in AI/ML methods, such as deep learning and diffusion model.
•    Skilled in scientific writing and communication, with experience preparing manuscripts for high-impact journals and delivering research presentations at international conferences.

Experience:  
•    Know about the structure transformation in the interface of nanomaterials under the reaction conditions
•    Strong experience in machine learning and AI-driven modeling for scientific applications, such as machine-learned interatomic potentials and enhanced sampling approaches.
•    Collaborated across computational and experimental teams to validate predictions and deepen understanding of structure–property relationships.