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Research Assistant I

Hong Kong University
Hong Kong
June 14, 2023
Contact:N/A
Offerd Salary:Negotiation
Location:N/A
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A
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Research Assistant I

The University of Hong Kong

Apply now Ref.: 520373 Work type: Full-time Department: Department of Architecture (01100) Categories: Research Staff Hong Kong

The Department of Architecture is seeking a highly motivated and skilled Research Assistant to join our dedicated research team in the Building Simplexity Lab (https: // bsl.hku.hk/), directed by Dr. Kristof Crolla. In this role, you will have the opportunity to work on ground-breaking projects at the intersection of Artificial Intelligence (AI) and architecture, contributing to the development of innovative educational tools, designs, and methodologies.

Responsibilities:

  • Integrate AI-trained models into architectural design workflows and traditional methodologies to enhance design processes.
  • Conduct independent research focused on developing advanced machine learning tools, emphasising lightweight, user-friendly computational workflows and interactions.
  • Develop and disseminate engaging tutorials and educational content to share knowledge and expertise.
  • Collaborate with esteemed faculty members and researchers to advance the understanding and application of AI in architecture, and disseminate findings through written work.

    • Requirements:

  • Master's degree in architecture, computer science, or a related field.
  • Proficiency in coding languages, C# and Python.
  • Proven experience in developing high-quality AI-related tutorials or educational materials, with a focus on clear, concise, and engaging content for diverse learners.
  • Excellent English communication skills, with the ability to articulate complex concepts to a diverse audience.
  • A clear track record of writing and publishing academic papers in peer- reviewed conferences or journals, demonstrating the ability to communicate complex research findings effectively.
  • Experience working in a collaborative research environment, with evidence of successful teamwork and communication.
  • Familiarity with project management tools and practices to ensure efficient collaboration, organisation, and task tracking among team members.
  • Excellent time management and prioritisation skills, with the ability to balance multiple responsibilities and meet deadlines in a fast-paced research environment.

    • The University of Hong Kong offers a dynamic research environment and a highly competitive salary and benefits package, commensurate with qualifications and experience, in addition to annual leave and medical benefits. The appointment will commence as soon as possible on a 1-year temporary basis, with the possibility of renewal subject to satisfactory performance and funding availability. Our Department of Architecture is committed to promoting diversity and inclusivity and welcomes applicants from all backgrounds and identities.

    You will work closely with Dr. Kristof Crolla's research team as part of the innovative Building Simplexity Lab (https: // bsl.hku.hk/). For enquiries about the position, please contact Dr. Crolla at [email protected].

    To apply, submit a cover letter, curriculum vitae, and the names and contact information of three references online. Include a portfolio of computation- related design work (pdf format, less than 5MB), a sample of academic journal/conference publications (indicating your role and contribution in case of team work), and any reference/recommendation letters (if available). Applications will be reviewed on a rolling basis until June 14, 2023 , or until the position is filled, whichever is earlier.

    Seize this exceptional opportunity to contribute to the future of architecture through AI at the University of Hong Kong. Apply now and embark on an intellectually rewarding journey in a highly esteemed institution.

    Advertised: May 4, 2023 (HK Time) Applications close: Jun 14, 2023 (HK Time)

    Apply now

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