Grad School Skills: Programming & Research Experience

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SUMMARY

The forum discussion centers on the skills and experiences that enhance graduate school applications, emphasizing the importance of storytelling over mere listing of skills. Key programming languages and tools mentioned include JAVA, Python, and GEANT, alongside essential research experiences in electronics and high vacuum techniques. Applicants should focus on integrating their skills into compelling narratives that reflect their personal experiences and academic performance. Specific endorsements from research mentors and relevant research assistantships significantly bolster an application.

PREREQUISITES
  • Understanding of graduate school application processes
  • Familiarity with programming languages such as JAVA and Python
  • Knowledge of research methodologies in experimental physics
  • Experience with tools like GEANT for modeling and simulations
NEXT STEPS
  • Research effective storytelling techniques for graduate school applications
  • Learn how to frame technical skills within the context of research experiences
  • Explore the significance of mentorship in academic applications
  • Investigate the role of specific technical skills in experimental research settings
USEFUL FOR

Prospective graduate students, academic advisors, and anyone involved in the graduate admissions process seeking to enhance application strategies through effective skill presentation and narrative development.

cmyers152
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I'm looking to compile a list of skills that people have used on their grad school applications that looked good, such as programming and research experience
 
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cmyers152 said:
I'm looking to compile a list of skills that people have used on their grad school applications that looked good, such as programming and research experience
I don't want to get all preachy, especially now that you seem all fired up, but your applications have to be organic, reflecting your own personal experience. There is no place in the application paperwork where a list would be suitable, not even on the resume. The committees don't care whether you have deep experience in JAVA, Excel, python, running a 4H club, or even president of your physics society. The only thing that looks good is a compelling story backed by a competent performance. Focus on your grades and research and the story tells itself.
 
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DrSteve said:
I don't want to get all preachy, especially now that you seem all fired up, but your applications have to be organic, reflecting your own personal experience. There is no place in the application paperwork where a list would be suitable, not even on the resume. The committees don't care whether you have deep experience in JAVA, Excel, python, running a 4H club, or even president of your physics society. The only thing that looks good is a compelling story backed by a competent performance. Focus on your grades and research and the story tells itself.

I'm going to respectfully disagree here. A lot of experimentalists are looking for very specific skills, especially if they've had a run of new grad students without them: programming, electronics, high vacuum, etc. Of course, these skills are best framed in the context of prior research experience, and kind words from undergrad research mentors and co-authoring papers is even better. Often, a specific offer of a research assistantship from an experimentalist with some clout will get you admission to the program, and some experimentalists NEED grad students in their groups who can be productive quickly.
 
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I'm going to respectfully disagree with myself or, at least, clarify. Professors are indeed looking for special skill sets, which, if possessed, will help the applicant distinguish him/herself from the crowd. What you want to avoid is the laundry list approach, where the skill is not integrated with a meaningful activity. So, instead of a resume that looks like this...

"Expertise includes
  • C++
  • ROOT
  • GEANT
  • RF techniques"
...I would strongly suggest that a sentence or so be devoted to particular instances where each expertise was demonstrated. For example, I developed a GEANT model that recorded coincident gamma, beta emissions from 136Xe in dodecahedron PMT array for radioxenon monitoring purposes.
 
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