Total 4 job vacancies in Singapore

Job Description:

• Collaborate with the Project Leader to execute the MOE-TIF project on AI-driven optimization of aeroponic systems.
• Manage and operate aeroponic cultivation systems for leafy vegetables and high-value fruiting crops.
• Design and conduct experiments to investigate plant physiological responses under different spray regimes and nutrient formulations.
• Monitor plant growth parameters, nutrient uptake efficiency, and environmental conditions to support AI model training.
• Plan and execute experiments, prepare progress reports, and provide regular updates on project milestone.
• Assist in system installation, maintenance, troubleshooting, and modification of aeroponic equipment.
• Document experimental data, analyse results, and contribute to project reports and publication.
• Coordinate with industrial collaborators and support pilot testing at partner farm sites.
• Manage procurement processes, including liaising with vendors, sourcing materials, equipment, and testing supplies, and raising purchase requests.
• Document and track project issues, expenses, budget, action logs, and equipment maintenance.
• Perform any other related duties as assigned by the Project Leader.

Job Requirement:

• Relevant qualification in Agricultural Science, Food Science, Horticulture, Plant Science, Agricultural Engineering, Biotechnology, or related disciplines.
• Hands-on experience in urban agriculture cultivation, plant nutrition management, and controlled environment agriculture systems.
• Experience in operating cultivation equipment and designing controlled experiments.
• Ability to work effectively in a team and follow project timelines and operational arrangements.
• Proven ability to plan, organize, and manage multiple tasks with a strong sense of responsibility to meet project milestones. 
• Candidates from related industries who are interested in transitioning into aeroponic and smart urban agriculture are encouraged to apply.
• Successful candidates will be employed on a contract basis for two year duration of the project.

Job Title: AI Research Engineer - Vision-Language Action Models

Griffin Labs is looking for a Founding AI Research Engineer to lead the adaptation and deployment of Vision-Language-Action (VLA) models. We are focused on solving high-dexterity manipulation through cross-embodiment learning—training models that generalize across diverse robotic platforms and hardware configurations.

The Role

You will own the full development lifecycle of autonomous capabilities. This is an end-to- end mission: from reviewing raw trajectory data and designing model architectures to deployment and fleet-level monitoring. You aren’t just training models; you are building the systems that allow them to function in the real world.

Key Responsibilities:

• End-to-End Ownership: Lead the "data-to-deployment" loop—curating datasets, fine-tuning VLA models, and building the monitoring systems that ensure fleet-level reliability.

• Cross-Embodiment Learning: Develop and optimize models capable of handling diverse robot morphologies and kinematic constraints.

• Model Adaptation: Architect and fine-tune VLA stacks that bridge high-level reasoning with low-level whole-body control.
• Academic Collaboration: Work alongside expert research advisors from institutions like Stanford, NTU, and SUTD to push the boundaries of what's possible in robotics.

• Validation: Design robust evaluation metrics in Isaac Sim/MuJoCo and bridge the Sim2Real gap for a production fleet.

Requirements

• Technical Depth: A strong fundamental understanding of Transformers, Diffusion architectures, and LLMs/VLMs, particularly as they apply to sequential decision-making or action prediction.

• ML Expertise: Deep proficiency in PyTorch and experience fine-tuning large-scale multimodal models.

• Cross-Embodiment: A strong interest or background in generalizing AI across different robot types.

• Simulation: Fluency in environments like Isaac Sim or MuJoCo and the nuances of the "Reality Gap."

• Software Foundations: High proficiency in Python.

• Founding Mindset: High agency and the ability to build necessary tooling, scripts, and evaluation frameworks from scratch.

Why Griffin Labs?

We are a lean, technical team moving at the pace of frontier AI. As a founding hire, you will have a direct hand in shaping our technical North Star and defining how the next generation of robots learns from the world

The Field Services Engineer will be responsible for providing on-site technical support to customers. This include performing preventive maintenance, troubleshooting to support our customer. This role is a full-time position and based in Singapore.

Key Responsibilities:

· Commissioning, maintainance & servicing a wide range of Life Sciences equipments

· Conduct routine maintenance & repairs on Life Sciences equipments

· Diagnose technical problems, troubleshoot issues, and perform repairs at customer sites

· Collaborate with the sales team to provide service quotations, detailing the scope of work, parts required, and costs.

· Maintain detailed service records of service activities, parts used, & instrument records

· Provide technical support and assistance to customers via phone/email, or on-site visits.

· Stay current with product knowledge and industry advancements

· Comply with all safety guidelines and protocols during service visits

· During the term of employment, the employee shall devote full working time, attention to the performance of their assigned duties, which shall be to the benefit of the Company and/or its Affiliates, defined as any company under the same shareholding structure

Requirements:

•     Min Diploma/ Degree in Engineering (Electronics, Electrical, Mechatronics or related)

•     1 - 3 years’ experience in servicing Life Sciences & Medical equipment.

•     Strong problem-solving skills and the ability to work independently.

•     Excellent communication and customer service skills.

•     Detail-oriented and organized.

•     Proficiency in using MS Offices, such as Words, Excel, etc.

•     Occasional oversea travel is required

School of Applied Science - Senior Research Fellow (Aquaculture Nutrition)

Job Description:

• Conduct research and provide technical expertise in fish nutrition.
• Analyse research findings and disseminate data.
• Achieving project KPIs, guiding researchers through training, and publishing research articles in alignment with the grant objectives.
• Coordinate with external collaborators on project development.
• Document, collate, analyse and interpret data.
• Carry out procurement, including liaising with vendors, sourcing for materials, equipment and testing, and raising purchase requests.
• Document and track project issues, expenses and budget tracking.
• Mentor students involved in final year projects, internships, short-term work attachments, and similar programmes.
• Plan experiments and prepare progress reports for regular project updates.
• Perform any other related duties assigned by the project leader and co-project leaders.

Job Requirement:

• Relevant qualification in aquaculture or fish nutrition or fish biology or fish genetics.
• Relevant experience as demonstrated by scientific publications in the areas of expertise.
• Strong communication and interpersonal skills with the ability to build strong working relationships with people at all levels.
• Possess sound planning, organizing, good multi-tasking skills, with a strong sense of responsibility for completing assigned duties on time.
• Proficient in IT skills.
• Good documentation skills, laboratory techniques, and research and data analysis skills.
• Successful candidate will be employed on a contract basis and will be based either fully or on a rotational basis at one of the local partner institutions.