We are inviting applications for two senior research positions in Explainable Artificial Intelligence (XAI).
The selected candidates will focus on research in the following core areas: LLM reasoning, System 2, Abductive Reasoning, and Interpretability. Within these areas, the research will address the following broad questions:
How can neuro-symbolic methods and cognitive architectures enhance argumentation tasks?
In what ways can theories and models of interpretability improve the performance and outcomes of neural networks?
Preference will be given to PhD students who are developing a dissertation with a title closely related to these topics (specific topics will be decided based on your expertise and the proposal from your academic supervisor). Applicants should have a very good command of English, particularly in reading and understanding academic papers, and possess a strong academic background in Computer Science, Electrical Engineering, Mathematics, or a closely related field.
We particularly encourage women to apply.
Please submit the following materials:
A CV outlining your academic background
A brief description of your proposed research question
Contact information for two academic referees (email addresses are sufficient)
Main preference: This is a full-time position, based in Tehran. Salary is negotiable.
به خانه هـوش ایــران خوش اومدید!
خانه هوش ایران یک ساختار منسجم پژوهشی، آموزشی و اجرایی است که با هدف بومیسازی زیرساختهای هوش مصنوعی و تربیت نیروی انسانی متخصص فعالیت میکند. رویکرد استراتژیک ما، حذف فاصله میان دانش آکادمیک و نیازهای واقعی صنعت از طریق ایجاد یک زنجیره ارزش کامل است؛ زنجیرهای که نخبگان را از شناسایی اولیه در سطوح پایه تا هدایت پروژههای کلان و استراتژیک صنعتی همراهی میکند.