Opportunities

Graduate Student position opening in the Systems Realization Laboratory @ Florida Institute of Technology

We currently have one graduate student position opening (Summer 2022 OR Fall 2022) for highly self-motivated and talented students to join the Systems Realization Laboratory @ Florida Institute of Technology (SRL@FIT). SRL@FIT is a new design research laboratory at FIT that started functioning in Fall 2020. We expect to be a multicultural, multidisciplinary academic family focused on educating the next generation of engineers and professors. Our goal in SRL@FIT is to provide an opportunity for each person to learn how to dream and rise to his/her full potential and contribute to the scholarship associated with the realization of complex engineered systems. We operate under the philosophy of sharing to gain. We require people with multi-disciplinary backgrounds – preferably in the areas of engineering design, machine learning, materials science, manufacturing, mechanics, and systems design (or related areas).

Candidates with strong background in computational modeling, engineering design and optimization, statistics, and machine learning are highly encouraged to apply.

To apply, please send an email attaching the following to anellippallil@fit.edu

• Statement of purpose (Maximum two pages – Briefly talk about: you, your background, research highlights, current projects, why you are passionate about pursuing a Ph.D.?, how you see contributing to the current research topics at SRL@FIT?, what you plan to do after finishing the degree – your career goal?);

• Curriculum Vitae (include GPA, GRE, TOEFL scores, etc.);

• Copy of up-to-date transcript(s);

• Copy of publication(s), if applicable.

Interested candidates are requested to use the following format for subject lines while sending emails: “Full Name – Prospective Graduate Student – DATE”.

Shortlisted candidates will be invited for a Skype/Zoom interview. Candidates shortlisted after the Skype/Zoom interview are required to answer a Questionnaire that will be shared after the interview process.