We are seeking a highly skilled and innovative Part-Time Researcher in Computational Architectural Methods to join our team. The successful candidate will conduct research in the application of computational tools and methods, including AI applications, to architectural design and analysis. This position provides a unique opportunity to contribute to cutting-edge research in a dynamic academic environment.
Primary Duties & Responsibilities
Conduct research on computational methods and their applications in architectural design, including parametric design, algorithmic design, digital fabrication, performance simulation, and AI applications.
Develop and implement computational models and tools to support research projects.
Collaborate with faculty members, students, and other researchers on interdisciplinary projects.
Analyse and interpret research data, preparing reports, publications, and presentations to disseminate findings.
Stay updated with the latest advancements in computational design and AI technology, integrating new knowledge into ongoing research.
Assist in writing grant proposals and securing funding for research projects.
Mentor and guide students involved in research projects, fostering a collaborative and innovative research environment.
Participate in departmental meetings, research seminars, and conferences to present research findings and network with peers.
Education & Experience
A master’s degree in architecture, Computational Design, Computer Science, or a related field. A Ph.D. is preferred.
Demonstrated experience in computational design and research, with a strong portfolio of relevant work.
Proficiency in computational design software and tools such as Rhino, Grasshopper, Revit, and scripting languages (e.g., Python, C#).
Experience with AI applications in architectural design is highly desirable.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills, with the ability to present complex ideas clearly and effectively.
Proven track record of research publications and presentations.
Ability to work independently and collaboratively in a research team.
Note:
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Resume Keyword Practices to Avoid
We’ve established that using resume keywords throughout your application boosts your chances of a human hiring manager seeing it.
However, be careful not to overdo it.
Packing your resume full of keywords is almost as bad as not including any at all.
Don’t forget that a real person will (hopefully) see your resume at some point. So use natural language that engages that person.
Tip
Make sure you balance hard skills vs soft skills on your resume to show you’re a rounded candidate.
Otherwise, they’ll think you’re either a bad writer — which indicates your communication skills aren’t good — or assume you’re trying to beat the ATS, making you seem dishonest.
Keyword Stuffing
Keyword stuffing refers to using the same keyword again and again in an unnatural way to get your resume past the ATS.
People engage in keyword stuffing because some ATS software gives applications a higher ranking when it detects a keyword is used more. For instance, an ATS might assign a higher score to a candidate who mentions “search engine optimization” six times over one who mentions it three times.
Here’s an example of how one applicant tried to stuff the keyword “customer satisfaction” in their resume:
Boosted customer satisfaction by 47% by implementing customer satisfaction methods as part of company-wide effort to increase customer satisfaction rates.
Trained 7 new staff members in all aspects of housekeeping, ensuring that they meet health and safety standards
An applicant stuffs the keyword “customer satisfaction” on their resume.
See how extreme this is?
This technique might get your resume past the ATS, but will immediately turn off the hiring manager — ruining your chances of getting hired.