Total 331 Senior Executive level Science / R&D / Research job vacancies

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

Team blurb:

The GTM Data Science team operationalizes data and insights for LinkedIn’s go‑to‑market impact across Marketing, Sales, Pricing and Finance. We partner closely on multiple revenue generating initiatives. We also measure platform growth through rigorous metrics, experimentation, and enabling advanced data solutions. We organize and harmonize data at scale by building highly reliable, semantically rich data pipelines enabling data-driven decision making across the organization.

Responsibilities:

• Partner with product managers and go-to-market (GTM) teams to set up experimentation, support A/B testing, and experimentation readouts.
• Build data expertise, act as an owner for the company, and manage complex data systems for a product or group of products.
• Perform all necessary data transformations to serve products that empower data-driven decision making.
• Build and manage data pipelines, design and architect databases.
• Design, implement, integrate, and document performant systems or components for data flows or applications that power analysis at a massive scale.
• Ensure best practices and standards in the data ecosystem are shared across teams.
• Understand analytical objectives to make logical recommendations and drive informed actions.
• Be a self-starter; initiate and drive projects to completion with minimal guidance.
• Contribute to engineering innovations that fuel LinkedIn’s vision and mission.

Warehouse Operations

• Oversee daily warehouse operations including receiving, storage, picking, packing, and dispatch of goods.

• Ensure proper handling and storage of food products in compliance with food safety and hygiene standards.

• Maintain an organized warehouse environment to improve efficiency and safety.
  

Inventory Management

• Maintain accurate inventory records in Microsoft Dynamics NAV (ERP system).

• Perform regular stock counts, cycle counts, and inventory reconciliation.

• Investigate and resolve inventory discrepancies.

• Monitor stock levels and highlight potential shortages or overstock situations.

Receiving & Dispatch

• Verify incoming deliveries against Purchase Orders and Delivery Orders.

• Ensure proper Goods Receipt Note (GRN) processing in NAV.

• Prepare and coordinate outgoing orders for outlets or customers.

• Ensure timely and accurate fulfilment of outlet replenishment orders.
  

  System & Documentation

  • Update inventory transactions in NAV including stock transfers, adjustments, and GRN.

  • Maintain proper documentation for warehouse transactions and audits.

  • Work closely with procurement and finance teams on stock reconciliation.

  Coordination & Support

  • Coordinate with procurement, operations, and logistics teams to ensure smooth supply flow.

  • Support stock planning for promotions, campaigns, and festive periods.

  • Assist with supplier returns, claims, and damaged goods management.

  Compliance & Safety

  • Ensure compliance with food safety regulations and warehouse SOPs.

  • Maintain cleanliness and proper storage conditions within the warehouse.

  • Follow workplace safety guidelines for material handling.

  Requirements

  • Comfortable handling warehouse documentation and system transactions.

  • Able to carry heavy goods when required.

  • Proficient in Excel and basic computer systems.

  Key Competency

  • Inventory control & stock accuracy

  • ERP / NAV system knowledge

  • Warehouse operations management

• Meet daily output targets.
• To perform any ad hoc task as instructed by superior.

Requirements / Skills:

• Willing to work overtime if required.
• Able to work independently and as a team
• Able to drive forklift will be an added advantage
• Accommodations will be provided.
• Overtime with extra pay will be provided.
• Working hours Monday- Friday 8am – 6pm with 1 hour lunch break between 1pm-2pm. Saturday 8am – 1pm.

About Gain City

At Gain City, we deliver expertise and quality solutions in air-conditioning, home appliances and consumer electronics. Established in 1981, Gain City is a trusted household name in Singapore. We take pride in our strong customer focus, innovative spirit, and commitment to service excellence. With a dynamic workforce and a network of stores and service centres island wide, we offer a vibrant and growth-oriented environment where employees are empowered to thrive, take ownership and make a real impact.

About the Role

We are seeking pro-active and driven Human Resources (HR) Executives to join our growing team. Specifically, you will play a vital role in supporting the learning & development (L&D) function and operation. You will work with the business units to identify skill gaps and training needs, as well as source for and manage external training providers and internal learning resources in handling organisation’s learning and development needs.

This is a people-oriented role ideal for someone who thrives in a fast-paced environment and is passionate about building a positive workplace culture. You will work closely with various departments to ensure smooth operations across the group of companies and contribute to initiatives that enhance employee satisfaction and organisational effectiveness.

Key Responsibilities

• Identify skills gaps and training needs through analysis, evaluations, and employee feedback.

• Partner with Heads of Departments and management to support the organisation’s Learning & Development initiatives.

• Source, coordinate, and manage external training providers and internal learning resources.

• Maintain accurate project documentation and ensure compliance with ISO standards (ISO 9001, ISO 45001, ISO 14001).

• Prepare and manage non‑compliance reports.

• Oversee vendor and contractor management for training-related matters.

• Maintain effective administrative processes for tracking, recording, and filing all training documents.

• Build and manage partnerships with external organisations and government agencies for initiatives, funding, grants, and sponsorships.

• Coordinate internship programmes with educational institutions.

• Manage government grant applications and related documentation.

• Serve as the team lead for CSR event planning and coordination.

Qualifications and Requirements

• Bachelor’s degree in human resource management or a related discipline

• Minimum of 1 year of experience in Human Resources

• Able to interact confidently with business units and external parties

Research Assistant/Associate (Urban Psychology Lab)

The Lee Kuan Yew Centre for Innovative Cities at the Singapore University of Technology and Design is seeking a full-time Research Assistant/Associate, to join a growing research team dedicated to understanding human behavior in cities.

Successful applicants will contribute to a research program that explores the intersection of human behavior, urban design, technology, and livability. The program tackles critical questions about how cities shape people’s behaviors and, in turn, how cities should be designed to better serve their inhabitants. Upcoming projects in the lab include the study of public perception and behaviours in public spaces, nature-connectedness and health in cities, and mobility and health in cities.

Candidates should possess a strong interest in applying a human lens to transdisciplinary and collaborative research. Expertise in quantitative research methods, experience working with Virtual Reality, physiological and/or neurological measures, and a background in applied social and/or behavioral science will be a plus.

The candidate will be expected to:

• Conduct and write systematic literature reviews and meta-analyses
• Coordinate and participate in fieldwork and data collection
• Conduct quantitative and/or qualitative data analyses
• Assist in the preparation of manuscripts and reports for publications
• Collaborate and communicate research updates with both internal and external stakeholders

Skills and qualifications required:

• Bachelors or postgraduate degree (MA, MSc or equivalent) related to the social sciences or behavioural sciences (e.g., Psychology, Behavioral Economics, Urban Studies, or related disciplines)
• Demonstrable skills in quantitative and/or qualitative data collection and analysis
• Excellent written and verbal communication skills
• Strong organizational and data management skills
• Proficiency with statistical software (e.g., R, STATA, SPSS, MPlus) is a plus
  

We regret that only shortlisted candidates will be notified. Applications will be reviewed and will continue until the position is filled.

Job Description: 
The successful candidate will contribute to cutting-edge research and development in multimodal, multilingual large language models. This role involves implementing advanced deep learning algorithms, exploring innovative techniques to improve training and inference efficiency, and proposing novel architectures for next-generation multimodal foundation models.

The candidate will also help translate research breakthroughs into real-world applications, working collaboratively with a multidisciplinary team on problem analysis, solution design, and rigorous evaluation. They will be expected to drive experiments that achieve state-of-the-art performance across diverse benchmarks.

We are seeking individuals with strong problem-solving abilities, solid software engineering and coding skills, and excellent communication skills. A passion for research and a desire to push the boundaries of AI technology are essential.

Job Requirement:

  - PhD in ML, NLP, speech and spoken language processing and multi-modal AI 
- At least 5 years of experience
  - Proficient programming skills, familiarity with Linux is a must
  - Familiar with different deep learning and LLM training frameworks
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Description: The candidate will participate in the research and development of multimodal multilingual large language model, implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of multimodal foundation model. He/She will need to translate and adapt the model to real-world problem and is expected to work as a team in problem analysis design solutioning, conduct evaluation to achieve stat-of-the-art performances for different benchmark. Strong problem solving, coding and communications skills are expected.

 Job Requirement:

  - BSc/MSc in ML, NLP, background in speech, national language understanding
- At least 3 years of experience
  - Proficient programming skills, familiarity with Linux
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Strong in local or regional languages

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.

Advanced Remanufacturing and Technology Centre (ARTC) is an industry-led Centre by the Agency for Science, Technology and Research (A*STAR) in collaboration with Nanyang Technological University (NTU). Based on a contemporary business model of public-private partnership, the Centre transforms remanufacturing and manufacturing research into industry ready solutions for cross-sectoral industry members by bringing together best-in-class global companies and R&D minds in Singapore. Currently, the ARTC works with over 100 industry members to develop advanced remanufacturing and manufacturing capabilities. The members are comprised of global MNCs, leading equipment and software providers as well as SMEs.

We are seeking an innovative and technically skilled engineer to join our team, specializing in advanced welding, especially for electron beam welding. Advanced welding is one of the key technologies for ARTC, and mainly include electron beam welding, robotic arc welding, laser welding, vacuum brazing and diffusion bonding. We are looking for the right talent with the passion and drive to join us.

JOB DESCRIPTION

 We are seeking an experienced engineer familiar with advanced joining processes, especially electron beam welding to join the Advanced E-beam and Arc Joining team. The successful candidate will play a key role in developing electron beam welding processes, novel process monitoring, rigorous WPS, and implementation of solutions for different industrial applications.

Responsibilities:

·         Develop complete electron beam welding solution, including required fixture, joint design, programs, process parameters, welding strategies and pre & post-processing for manufacturing & remanufacturing applications.

·         Develop WPS or WPQR through process optimization using DOE method for mainly semiconductor, energy and aerospace industries.

·         Perform weld performance evaluation, including analysis of defects, microstructure and mechanical properties, and the necessary sample preparation and failure mode analysis.

·         Operate electron beam systems for welding and additive manufacturing processes to support R&D and industry projects.

·         Develop, design and integrate hardware & software for process monitoring & control solution in vacuum chamber.

·         Develop customized CAD/CAM modules for advanced toolpath planning in electron beam welding.

·         Equipment and process owner for electron beam welding, ensure equipment and operators compliance, develop / maintain standard operating procedures, risk assessments and safe working procedures, provide guidance / training as required

·         Other ad-hoc relevant work for the team and A*STAR with possible secondary roles

JOB REQUIREMENTS

Minimum Requirements (Must-have)

·         Minimum bachelor's degree qualification in welding, metallurgy, manufacturing process, mechanical engineering, or an equivalent engineering degree.

·         Minimum 5 years' experience with electron beam welding and brazing in aerospace, energy, semiconductor industry.

·         Good understanding of welding principles, metallurgy and interaction of material with high-energy beam (i.e., electron beam or laser beam).

·         Strong analytical and problem-solving skills to tackle critical R&D challenges (i.e., welding of casted Inconel alloys, deep penetration welding Al6000 aluminium alloys).

·         Good communication and team working skills to collaborate with different stakeholders (customer, project manager, tech-biz, technical teams).

·         Ability to work in a dynamic fast-paced environment in an agile manner to adapt to fast-changing requirements of internal and external stakeholders

·         Strong electron beam welding knowledge and demonstrated ability to learn may also be considered.

·         Fluent with good written, spoken and comprehension skills

Preferred Skills and Experience (Good-to-have)

·         Master's degree in welding engineering, manufacturing automation or related technical program

·         Familiar with industry standards related to electron beam welding (ISO 15609-3, 13919-2, AMS 2680, AMS 2681, AWS D17.1, ASME Section IX)

·         Hands on experience in other joining processes such as vacuum brazing, diffusion bonding, PSP.

·         Experience with CAD/CAM software for tooling/fixture design and toolpath generation.

·         Experience on programming of multiple-axis system (CNC / Robot) for automated welding solutions.

·         Experience in technical presentations and preparation of research proposals, WPS / WPQR, patent application, project report & welding training courses.

·         Experience with root cause analysis and corrective actions including, but not limited to, optical and SEM fractography/metallography, hardness, chemical analysis, and mechanical testing

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

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

  Job Requirement:

  - BSc/MSc in ML, NLP, background in speech, national language understanding
- At least 2 years of experience
  - Proficient programming skills, familiarity with Linux
  - Familiar with LLM training framework
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Strong in local or regional languages

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 Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

The Skin Research Institute of Singapore is a world-class research institute that focuses on translating the latest innovations in skin biology into practical applications for dermatology and personal care. We work closely with industry to realize our vision. SRIS is deeply integrated into Singapore’s research ecosystem, ensuring its continued scientific excellence and providing its staff with the best opportunities for professional growth and development. Within SRIS, the Lee Kong Chian School of Medicine’s Skin Program focuses on inflammation and immunology, with a strong translational pipeline integrating world-leading upstream research with expertise in drug delivery and clinical dermatology.

We are looking to hire a Senior/Research Fellow to develop and conduct a complex medium-throughput assay using 3D skin models, as well as design and implement methods for validating screening hits. The work is part of a high-stakes project that looks to develop a new class of drug for the treatment of intractable skin disorders.

Key Responsibilities:

• Conduct comprehensive, critical review of relevant literature and available assays
• Recommend any improvements to the strategy for assay development, including validation and QC
• Work with other team members to guarantee consistent, reliable supply of skin models
• Design, implement and run assays, analyse and evaluate outcomes using both imaging and molecular biology methods including confocal microscopy and RNAscope
• Design and conduct any downstream, secondary assays for hit validation and lead optimization.
• Work with the PIs to supervise any outsourced related activities
• Serve as a subject matter expert on skin biology and related subjects
• Work closely with other scientists in the project to ensure smooth flow of data and materials between work packages
• Provide regular communication with the funder and other stakeholders

Competencies and Qualification Requirements:

• Minimum of PhD and 5 years post-doctoral experience in skin biology or closely related field
• Experience with high-throughput (phenotypic) screening and automated imaging solutions
• Conversant with 2D and 3D skin models including skin explants
• Expertise in advanced imaging methods and molecular biology techniques
• Having worked with industry partners in the past
• Willing to work in a highly structured project environment
• Able to function independently
• Structured and disciplined in the conduct of research work
• Able to deal with time pressure

Job Description: 
The successful candidate will contribute to cutting-edge research and development in multimodal, multilingual large language models. This role involves implementing advanced deep learning algorithms, exploring innovative techniques to improve training and inference efficiency, and proposing novel architectures for next-generation multimodal foundation models.

The candidate will also help translate research breakthroughs into real-world applications, working collaboratively with a multidisciplinary team on problem analysis, solution design, and rigorous evaluation. They will be expected to drive experiments that achieve state-of-the-art performance across diverse benchmarks.

We are seeking individuals with strong problem-solving abilities, solid software engineering and coding skills, and excellent communication skills. A passion for research and a desire to push the boundaries of AI technology are essential.

Job Requirement:

  - PhD in ML, NLP, speech and spoken language processing and multi-modal AI 
  - At least 5 years of experience
  - Proficient programming skills, familiarity with Linux is a must
  - Familiar with different deep learning and LLM training frameworks
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Description: 
The successful candidate will contribute to cutting-edge research and development in multimodal, multilingual large language models. This role involves implementing advanced deep learning algorithms, exploring innovative techniques to improve training and inference efficiency, and proposing novel architectures for next-generation multimodal foundation models.

The candidate will also help translate research breakthroughs into real-world applications, working collaboratively with a multidisciplinary team on problem analysis, solution design, and rigorous evaluation. They will be expected to drive experiments that achieve state-of-the-art performance across diverse benchmarks.

We are seeking individuals with strong problem-solving abilities, solid software engineering and coding skills, and excellent communication skills. A passion for research and a desire to push the boundaries of AI technology are essential.

Job Requirement:

  - PhD in ML, NLP, speech and spoken language processing and multi-modal AI 
  - At least 2 years of experience
  - Proficient programming skills, familiarity with Linux is a must
  - Familiar with different deep learning and LLM training frameworks
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

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

Job Responsibility:

• Maintain, develop, and enhance actuarial models, including Prophet, DCS, Python, and other actuarial software tools.
• Enhance and maintain the actuarial model governance framework, ensuring alignment with industry best practices and adherence to actuarial model development standards.
• Collaborate closely with internal and external stakeholders to meet the company’s actuarial and modelling requirements.
• To provide advice, and support for modelling initiatives and projects.
• Support Corporate Planning &Analysis project UAT activities, including (but not limited to) unit testing for expense allocation, CSM calculations, and other related testing tasks.
• Assist with ad-hoc projects and analyses as required.

Requirements:

• Bachelor’s degree in Actuarial Science or a related discipline, with good progress in actuarial examinations from a recognized international actuarial body.
• 3+ years of experience in life insurance actuarial modelling; experience with IFRS 17 is a strong advantage.
• Hands-on experience with actuarial modelling software, including Prophet, DCS, Python and etc.
• Good understanding of life insurance products, actuarial valuation principles, and financial reporting processes.
• Good analytical, problem-solving, and communication skills, with the ability to work effectively across functions.

Job Description: The candidate will participate in the research and development of multimodal multilingual large language model, implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of multimodal foundation model. He/She will need to translate and adapt the model to real-world problem and is expected to work as a team in problem analysis design solutioning, conduct evaluation to achieve stat-of-the-art performances for different benchmark. Strong problem solving, coding and communications skills are expected.

 Job Requirement:

  - BSc/MSc in ML, NLP, background in speech, national language understanding
- At least 5 years of experience
  - Proficient programming skills, familiarity with Linux
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Strong in local or regional languages

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

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

  Job Requirement:

  - MSc in ML, NLP, background in speech, national language understanding
- At least 5 years of experience
  - Proficient programming skills, familiarity with Linux
  - Familiar with LLM training framework
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Strong in local or regional languages

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.

About the role

We are seeking passionate engineers to join our R&D team, focused on AI-driven and knowledge-based applications. The role focuses on developing and translating AI models and algorithms to enhance intelligence for robotic/ automation systems, integrating perception, planning, and control modules into a cohesive system.

You will work closely with a multidisciplinary team of engineers and researchers to develop advanced robotic/ automation solutions that combine machine learning, computer vision, and control systems to achieve autonomous and intelligent automation.

Roles and responsibilities

• Conduct research and develop AI methods for information extraction across diverse data types, including video, image, and text
• Contribute to the design and implementation of knowledge-based applications, such as graph database systems and related software tools
• Translate and optimise intelligent algorithms into robotic/ automation platforms to enhance intelligence- adaptive control and task execution
• Develop and maintain the AI-robot interface, ensuring robust communication between software intelligence and physical systems
• Support prototype development, testing, and validation of robotic/ automation solutions in lab and production environments
• Prepare technical documentation, reports, and presentations for internal and external stakeholders
• Participate in system deployment, commissioning, and field validation of AI-automation systems

Job Requirements

• Strong foundation in AI/ML algorithms and computer vision techniques such as object detection and action recognition, applied to automation in perception, decision-making, and motion planning.
• Fundamental understanding of software engineering practices, including Git/version control and modular code development
• Familiarity with deep learning architecture (e.g. CNNs, Transformers) and knowledge graph technologies (e.g., Neo4j, RDF, or graph databases) will be an advantage
• Proficient in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Basic understanding of automation systems and mechanical design principles
• Proficiency in one or more of the following areas:
• Robotic manipulation and motion planning (industrial or collaborative robots)
• C++, or ROS (Robot Operating System)
• Reinforcement learning or intelligent control
• Path planning and trajectory optimization
• AI model optimization and deployment for real-time systems

Desirable Skills (Preferred but not required):

• Hands-on experience with robot platforms (e.g., UR, ABB, KUKA, FANUC) or robotic simulation tools (e.g., Gazebo, Isaac Sim, V-REP).
• Experience developing or deploying AI models on robotic/ automation platforms
• Familiarity with industrial automation, disassembly, or intelligent manufacturing systems

Qualifications

• Bachelor's or Master's degree in AI, Mechatronics, Robotics, Computer Engineering, or a related field.
• Relevant experience, ideally in manufacturing industry or functions, is preferred. 
• At least 2 years of experience

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