SPS Student Services Committee Webinar: Effectively Applying for Industrial Research

Research roles in industry hold a unique position of bridging the technology development expectations of industry with the research driven agenda of academia. While trying to develop technology that is path breaking to address various challenges, industrial research is also tied to different expectations of timeline, practicality, cost-benefit tradeoffs, and efficacy. Thus, applications for such roles, especially in the signal processing and machine learning space, should best reflect such expectations rather than being limited to a typical engineering role in industry. Over time we have reviewed different styles of applications and CVs running from those that are too concise to those that are overloaded with detail. In this talk the presenters will provide some insights on application styles that are most effective in communicating an applicant’s skill set generally in a CV, but more generally in an application. They will provide some synthetic examples and narrate their experiences, providing an overview of typical expectations and how to address them effectively in a job application.