3 min readfrom Machine Learning

Graduating Without a PhD Internship [D]

Our take

In early 2022, I faced a pivotal decision between PhD offers, drawn by the promise of summer internships through a prospective supervisor’s industry connections. However, after two years of waiting, it became clear that those connections were nonexistent. Now, as I approach graduation without any PhD internship experience, I reflect on my journey of applying for roles that often fell outside my niche research area. This experience has left me feeling disadvantaged, prompting a need for introspection and guidance.

The journey of pursuing a PhD can be a complex and often daunting experience, especially when expectations regarding internships and industry connections are not met. The recent account of a PhD candidate who graduated without having completed a single internship underscores a critical issue within academia: the disconnect between promises made by advisors and the reality of the current job market. Many graduate students enter their programs with the hope of securing valuable internships in big tech, only to find themselves navigating an environment that may not have the connections or support they anticipated. This highlights the importance of transparency and realistic expectations in mentoring relationships.

The candidate's experience serves as a cautionary tale about the necessity of self-advocacy and proactive networking. Despite being told to wait for opportunities, the individual took the initiative to cold-apply for internships, an approach that, while brave, is often met with a high rate of rejection, especially in specialized fields. Their attempts to secure positions in areas aligned with their research demonstrate the challenges faced by PhD students in a competitive landscape. This situation is not unique; many students find themselves in similar positions, grappling with the dual pressures of academic rigor and the need for practical experience. As the job market evolves, it is crucial for academic programs to adapt by providing more robust support systems that help students navigate their career paths, such as mentorship programs and networking events.

Additionally, the candidate's subsequent collaborations with big tech companies, albeit through cold outreach, raise an important point about the power of initiative. While these opportunities did not lead to immediate internships, they suggest that building connections can still yield results, even if they come from unexpected avenues. This indicates a shift in how PhD candidates might need to approach their career trajectories: rather than solely relying on institutional affiliations, they may need to cultivate their own networks and seek out opportunities independently. As students become more aware of these dynamics, it may prompt a shift in how they view their time in graduate school and the skills they prioritize developing.

For the broader academic community, this experience serves as a call to action. Institutions must recognize the evolving demands of the workforce and equip students with the tools necessary to thrive in a competitive job market. This includes fostering relationships with industry leaders and ensuring that students are not just passive recipients of knowledge but active participants in shaping their career paths. Emphasizing skills such as networking, personal branding, and practical application of research can empower students to take control of their futures.

Looking forward, one question remains: how can academic institutions bridge the gap between education and industry expectations more effectively? As the landscape continues to change, the responsibility lies not only with students to seek opportunities but also with universities to adapt their programs to better serve the needs of their graduates. This evolution will be key to ensuring that future PhD candidates do not face the same challenges as those before them, thereby transforming the academic experience into one that is genuinely enriching and aligned with real-world demands.

In this context, resources like Automated data pull into excel and Need formula where if A3 is blank, then D3 is blank. But if anything gets entered into A3, then "Medium" appears in D3. Want to enter formula in cell W3. Think I need IF function. can provide valuable insights into how technology can aid in data management and workflow efficiency, ultimately enhancing productivity and opportunity for students in their research and career endeavors.

In early 2022, I was deciding between PhD offers. The deal maker was a prospective supervisor telling me that through their connections with big tech, I would be able to do a PhD internship each summer, which was one of my main goals for the PhD.

During my first and second years, they would tell me that companies prefer late-stage PhD students, so I should wait for the next summer. It eventually turned out they did not actually have the connections.

Four years later, I am due to graduate without ever having done a PhD internship. I managed to land some interviews by cold-applying everywhere, but most roles were for roles outside my niche research area, which understandably led to rejections.

I went back through my emails and found every interview I did. Here is the summary:

09/22: Start PhD 09/23: PhD Research Intern @ Big Tech#1. Rejected after two interviews. I do not think I had a strong enough background in the field.

01/24: PhD Research Intern @ Startup#1. Rejected after one interview. The interviewers did not seem to have much ML experience.

01/24: PhD Intern @ Car Company#1. Rejected after the first interview. They were looking for a C++ SWE.

03/24: PhD Research Intern @ Big Tech#2. Passed all stages, but failed team matching.

03/25: PhD Research Intern @ Big Tech#2. Skipped some stages, passed others, but failed team matching again.

10/25: PhD Research Intern @ Startup#2. Rejected after 5 interviews. Again, I do not think my background in the field was strong enough.

01/26: PhD Research Intern @ Car Company#2. Rejected after the first interview. They found a better fit for the project.

03/26: PhD Research Intern @ Big Tech#2. Skipped some stages, passed others, but failed team matching again.

03/26: PhD Research Intern @ Startup#3. Interviewed, but the internship start date is after my PhD completion date.

07/26: End PhD

I feel like I am at a severe disadvantage, and almost worse off than before I started the PhD. I used to get more interview invites; now I get rejected straight away.

I did manage to collaborate with two big tech companies (via cold email), and was asked to return after my PhD, but the team was not strong and I am now extra wary of ending up in another bad team.

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