Job Responsibilities for the Position of Research Assistant at NUST


NATIONAL CENTRE OF NCAI ARTIFICIAL INTELLIGENCE NUST Defining Futures HEC CAREER OPPORTUNITY Position Title Research Assistant – Digital Human Project Apply by scanning the QR code Number of Positions: 2 Experience/Qualifications & Skills Qualification:

  • Bachelor’s degree with 2-3 years of experience in Artificial Intelligence/Biomedical Engineering, or
  • Master’s degree in Artificial Intelligence with a background in healthcare, or Biomedical Engineering/Sciences with proficiency in AI or equivalent. Experience/Skills:
  • Proven experience in developing AI systems, particularly those integrating AI within the healthcare domain.
  • Strong logical reasoning skills to enhance the decision-making capabilities of AI systems in healthcare.
  • Dynamic understanding of Artificial Intelligence in the healthcare sector. Requirements: ⚫ Collect pertinent medical datasets, ensuring data quality and compliance with regulations, and conduct data preprocessing. ⚫ Implement and refine machine learning algorithms, deep learning, NLP techniques, and neural networks for precise disease diagnosis and query interpretation. ⚫ Develop experimental frameworks to evaluate the accuracy of AI models in disease diagnosis and consolidate findings onto a unified platform.

Research Assistant

Job Responsibilities for the Position of Research Assistant – Digital Human Project at the National Centre of Artificial Intelligence (NCAI), NUST:

  1. Data Management:
    • Acquire and curate relevant medical datasets, ensuring data quality and compliance with regulations.
    • Conduct preprocessing of data to prepare it for analysis and model development.
  2. Algorithm Development:
    • Implement and fine-tune machine learning algorithms, deep learning models, NLP techniques, and neural networks.
    • Focus on creating AI systems that integrate seamlessly into healthcare processes for improved diagnostic accuracy.
  3. Healthcare Integration:
    • Apply AI expertise to enhance decision-making capabilities within healthcare settings.
    • Collaborate with healthcare professionals to understand and address specific challenges in disease diagnosis.
  4. Experimental Frameworks:
    • Design and develop experimental frameworks to assess the accuracy and efficacy of AI models in diagnosing diseases.
    • Consolidate research findings onto a unified platform for comprehensive analysis and reporting.
  5. Collaboration:
    • Collaborate with interdisciplinary teams, including biomedical engineers, healthcare experts, and AI specialists.
    • Participate in knowledge exchange and contribute to the synergy between AI and healthcare domains.
  6. Innovation:
    • Stay abreast of advancements in AI technologies and healthcare practices.
    • Propose and implement innovative solutions to enhance the capabilities of AI models in the healthcare sector.
  7. Quality Assurance:
    • Ensure adherence to quality standards in AI model development and implementation.
    • Conduct rigorous testing and validation to guarantee the reliability and accuracy of developed algorithms.
  8. Documentation:
    • Maintain comprehensive documentation of research methodologies, experiment protocols, and algorithm implementations.
    • Prepare reports and contribute to scholarly publications or presentations as needed.
  9. Project Management:
    • Manage tasks and timelines effectively, ensuring timely completion of project milestones.
    • Provide regular updates to project leads and stakeholders on progress and challenges.
  10. Continuous Learning:
    • Engage in continuous learning and professional development to stay current with the evolving field of AI in healthcare.
    • Attend relevant workshops, conferences, and training sessions to enhance skills and knowledge.
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This role requires a proactive and skilled individual capable of navigating the intersection of artificial intelligence and healthcare, contributing to the advancement of the Digital Human Project at NCAI, NUST.

Joining the National Centre of Artificial Intelligence (NCAI) for the Digital Human Project as a Research Assistant offers several compelling reasons for prospective candidates:

  1. Cutting-Edge Research:
    • Engage in cutting-edge research at the intersection of artificial intelligence and healthcare, contributing to advancements in the Digital Human Project. Work on innovative solutions that have the potential to shape the future of AI in healthcare.
  2. Impactful Work:
    • Play a pivotal role in developing AI systems that directly impact healthcare processes, improving disease diagnosis and decision-making capabilities. Contribute to projects that have tangible outcomes and societal benefits.
  3. Collaborative Environment:
    • Join an interdisciplinary team of professionals, including biomedical engineers, healthcare experts, and AI specialists. Work in a collaborative environment that fosters knowledge exchange and encourages diverse perspectives.
  4. Professional Growth:
    • Gain valuable experience in algorithm development, experimental design, and healthcare integration. Enhance your skills and knowledge in the dynamic fields of artificial intelligence and healthcare.
  5. Innovation and Creativity:
    • Contribute to the development of innovative solutions in the AI domain, addressing challenges specific to healthcare. Have the opportunity to propose and implement creative approaches to enhance AI capabilities.
  6. Learning Opportunities:
    • Benefit from continuous learning and professional development opportunities. Stay updated on the latest advancements in AI and healthcare through workshops, conferences, and training sessions.
  7. Contribution to Healthcare:
    • Make a meaningful contribution to the healthcare sector by applying AI expertise to improve diagnostic accuracy and decision-making processes. Be part of a project that directly impacts the quality of healthcare services.
  8. Quality Assurance and Rigorous Testing:
    • Work in an environment that emphasizes quality assurance and rigorous testing. Contribute to the development of reliable and accurate AI algorithms with real-world applications.
  9. Documentation and Research Publications:
    • Engage in comprehensive documentation of research methodologies and contribute to scholarly publications or presentations. Showcase your work and contribute to the academic and scientific community.
  10. Competitive Compensation:
    • Receive a competitive monthly salary, recognizing your skills and contributions to the Digital Human Project at NCAI.
  11. State-of-the-Art Facility:
    • Work in a state-of-the-art facility at NCAI, equipped with the latest technology and resources to support your research and development activities.
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Joining NCAI for the Digital Human Project provides a unique opportunity to be at the forefront of AI research, contributing to advancements that have a direct impact on healthcare practices and outcomes.

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