Roles

• The Technical Lead - Electronics & AI will be responsible for planning, delivering, and overseeing applied teaching, training, and prototyping activities related to electronics and artificial intelligence within the Centre of Excellence in Design (D-CoE). The role focuses on hands-on capacity building, intern and project supervision, and coordination of technical programmes aligned with design and innovation objectives.

Responsibilities:

Teaching, Training & Curriculum Execution

• Design and deliver structured training modules in electronics prototyping, sensors, actuators, embedded systems, and IoT fundamentals.
• Deliver applied sessions in machine learning, deep learning, data analytics, generative AI, and agentic AI.
• Conduct workshops and training programmes in in-person, hybrid, and online formats.
• Adapt technical content to suit learners from diverse academic and professional backgrounds.

Prototyping & Practical Implementation

• Lead hands-on electronics prototyping sessions and demonstrations.
• Guide participants in developing functional prototypes and proof-of-concept systems.
• Ensure technical accuracy, safety, and feasibility during lab and workshop activities.

Intern & Project Supervision

• Manage and mentor interns and project teams working on electronics and AI-enabled projects.
• Define project objectives, timelines, and expected deliverables.
• Monitor progress, provide technical guidance, and evaluate outcomes of intern-led projects.

Programme Coordination & Delivery

• Support end-to-end execution of training programmes, including preparation, scheduling, and technical readiness.
• Coordinate with internal teams to ensure smooth delivery of electronics and AI modules.
• Maintain quality standards across training sessions and project outputs.

Collaboration & Outreach

• Collaborate with faculty members, programme coordinators, and internal stakeholders.
• Engage with academic and industry partners for workshops, technical sessions, and outreach activities.
• Contribute to outreach initiatives aimed at expanding participation in D-CoE programmes.
• Any other duties as needed by organisation.

Requirements:

Technical Competencies

• Strong practical knowledge of electronics and embedded systems.
• Hands-on experience with electronics prototyping and sensor-based systems.
• Working knowledge of:
• Internet of Things (IoT) fundamentals
• Machine learning and deep learning (applied perspective)
• Generative AI and agentic AI
• Data analytics for engineering and design applications
• Ability to translate complex technical concepts into accessible learning experiences.

Behavioural & Professional Competencies

• Strong communication and presentation skills.
• Proven ability to mentor and manage interns or junior team members.
• Organisational skills with the ability to manage multiple parallel activities.
• Collaborative mindset and ability to work in interdisciplinary environments.
• High level of ownership, accountability, and initiative.

Qualifications & Experience:

• Age limit :45 years Maximum. Admissible age relaxation for SC, ST, OBC and PH will be extended.
• Master’s degree in Electronics, Electrical Engineering or a related discipline.
• Excellent presentation, facilitation, and communication skills, with the ability to convey complex concepts clearly and engagingly.
• Strong organizational skills and the ability to manage multiple priorities effectively.
• Prior experience in Machine Learning basics and implementations is desirable.
• Prior experience in technical training, teaching, applied engineering, or technology-focused roles is preferred.
• Experience working in academic, innovation, or capacity-building environments is an advantage.

Reporting & Work Environment

• Reports to designated programme or centre leadership.
• Works closely with faculty, technical staff, interns, and external collaborators.
• Role requires flexibility to support workshops, training schedules, and outreach activities.

General Conditions:

• Duration: The positions are on contract and will be temporary for a period of ONE year and renewable annually for a maximum period of 5 years, based on satisfactory performance and at the discretion of the authorities of the Institute.
• Selection Method: Interview for short listed candidates will be held at Indian Institute of Science Campus, Bangalore.
• Applicants who possess the minimum educational qualification as on the date of advertisement only need to apply.
• Candidates would be expected to work on any of the three shifts including night shifts and holidays, except for the female candidates.
• No accommodation will be available on the Institute campus.
• Admissible age relaxation for SC, ST, OBC and PH will be extended.