1,649 Postdoctoral Researcher jobs in India

Please read the description carefully before applying:

The CMT lab, led by Prof. Deepak Agrawal at IIT Bombay, seeks a dedicated and highly motivated postdoctoral researcher to work at the intersection of artificial intelligence, machine learning, and healthcare innovation. The successful candidate will work on developing and applying advanced AI/ML algorithms to solve pressing challenges in healthcare, such as disease prediction, medical imaging, personalized medicine, and clinical decision support systems.

Qualifications/Responsibilities

• A Ph.D. degree is a MUST in the field of AI/ML/DL with at least one Q1 first-author paper.
• Prior experience in developing and implementing novel algorithms for AI/ML applications.
• Candidates with Wet lab-based PhD work, including bench experiments, WILL NOT be considered.

How to apply:

• Interested candidates should submit their application via this Google form:

• Please do not apply via LinkedIn

Eligibility Criteria:

• Your application will not be considered if you apply via LinkedIn and do not meet the eligibility criteria.

PhD in Cell Biology, Drosophila and Developmental Biology.

Position Overview

We seek an exceptional researcher to advance groundbreaking work at the intersection of management science, cognitive psychology, and human-AI collaboration. This role focuses on understanding how organizations can optimize human-technology integration while preserving cognitive capabilities and enhancing decision-making performance.

Research Focus Areas

• Organizational Cognitive Modeling: Develop predictive frameworks for human performance in technology-augmented environments
• Innovation Management: Study how cognitive augmentation technologies transform organizational innovation processes
• Decision Systems Architecture: Design optimal human-AI collaborative structures for complex organizational decisions
• Behavioral Economics of AI Integration: Quantify productivity gains while measuring cognitive dependency risks
• Leadership in Hybrid Intelligence Systems: Investigate management practices for human-AI teams

Key Responsibilities

Research & Innovation:

• Collaborate on expanding Behavioral GPS™ applications to organizational contexts
• Develop cognitive load optimization models for management decision-making
• Publish high-impact research in top-tier management and cognitive science journals
• Contribute to patent applications for organizational intelligence systems

Academic Excellence:

• Teach graduate courses in cognitive-informed management and innovation leadership
• Supervise PhD students in interdisciplinary research projects
• Present findings at premier conferences (Academy of Management, INFORMS, Web Summit)
• Build collaborative networks with industry partners and academic institutions

Applied Impact:

• Consult on organizational transformation projects with major corporations
• Develop executive education programs on human-AI collaboration
• Contribute to smart city and healthcare system optimization projects

Qualifications

Required:

• PhD in Management, Organizational Psychology, Cognitive Science, or related field
• Demonstrated expertise in quantitative research methods and statistical modeling
• Publications in peer-reviewed journals with impact factor >3.0
• Experience with human-computer interaction or decision support systems
• Strong programming skills (Python, R, or similar)

This Job is based in Australia

Postdoctoral Researcher (Computational Immunology and Translational AI)

• Employment Type: Full - time (35 hours a week)
• Duration: 1-Year Fixed Term contract (with likely extension upon performance)
• Remuneration: $91k - $121k base (+17% super and leave loading)
• Location: Kensington, Sydney
  
  

• Develop computational tools for analyzing immunogenomics data in the context of gastrointestinal autoimmune diseases and Type 1 Diabetes.
• Lead the application of AI and machine learning to identify novel therapeutic targets and advance precision medicine approaches.
• Foster collaborations with national and international partners at Weill Cornell, Upenn, Houston Methodist, and various hospitals.
  
  

• PhD in Bioinformatics, Data Science, Immunology, or a related field.
• Strong expertise in data analysis, bioinformatics pipelines, and statistical methods.
• Experience with single-cell multi-omics, AI, and immune-genomics is highly desirable.
• A passion for immunology and a keen interest in translating research into clinical applications.
• Excellent problem-solving, communication, and teamwork skills.
• Initiative, leadership potential, and a willingness to tackle challenging projects.
  
  

• Conduct research at the forefront of AI-driven precision medicine for autoimmunity.
• Gain valuable experience in industry collaborations and translational research.
• Potential to co-found a start-up focused on AI-powered drug discovery.
• Publish in high-impact journals and develop a strong research profile.
• Opportunity to learn and upskill in machine learning and translational immunology.
• Collaborative and supportive work environment at a world-class university.
  
  

• 17% Superannuation and leave loading
• Flexible working
• Additional 3 days of leave over the Christmas Period
• Access to lifelong learning and career development
• Progressive HR practices
  
  

• Professor Fabio Luciani profile
• The Luciani Lab website
• Professor Luciani&aposs LinkedIn profile
  
  

We invite applications from visionary designer-researchers to pioneer the aesthetic and experiential dimensions of human-AI cognitive integration. This role combines design thinking with cognitive science to create interfaces, systems, and experiences that enhance rather than diminish human creative and intellectual capabilities.

Research Focus Areas

• Cognitive Interface Design: Create intuitive visual languages for human-AI collaboration systems
• Necrobotics Aesthetics: Explore design principles for bio-hybrid therapeutic systems
• Spatial Cognition & Design: Develop environments that optimize human cognitive performance
• Data Visualization for Complex Systems: Design comprehensible representations of cognitive modeling outputs
• Speculative Design for Human Augmentation: Envision futures where technology preserves human agency

Key Responsibilities

Research & Creative Practice:

• Design user interfaces for Behavioral GPS™, UHIS, IAMS, and N-PACE systems
• Develop aesthetic frameworks for necrobotic applications in healthcare
• Create immersive experiences that demonstrate cognitive augmentation principles
• Lead interdisciplinary design research projects combining art, technology, and cognitive science

Academic & Creative Excellence:

• Teach graduate studios in speculative design, interaction design, and design for emerging technologies
• Mentor MFA students in technology-integrated creative practices
• Exhibit work at international design conferences and art venues
• Publish in design research journals and contribute to design theory development

Applied Design Impact:

• Collaborate with industry partners on user experience design for cognitive systems
• Design public installations that educate about human-AI collaboration
• Contribute visual and spatial design expertise to smart city and healthcare projects
• Develop design guidelines for ethical human-technology integration

Qualifications

Required:

• MFA, PhD in Design, or equivalent terminal degree in related field
• Portfolio demonstrating excellence in interaction design, service design, or speculative design
• Experience with user-centered design methodologies and human factors research
• Proficiency in design software (Adobe Creative Suite, Figma, Rhino, etc.)
• Understanding of cognitive psychology or human-computer interaction principles

Preferred:

• Background in data visualization or information design
• Experience with emerging technologies (AR/VR, IoT, AI interfaces)
• Research experience in design for healthcare or transportation systems
• Knowledge of biomaterials or bio-design applications
• Exhibition record in galleries, museums, or design festivals