This episode is also valuable if youβre trying to figure out how to build a better lab.
Understanding the science and role of work-life balance is essential for creating a healthy and productive group.
@andrewakbashev.bsky.social
Scientist (PI). Doing fundamental research in #Materials and #Electrochemistry. Leading a group in Switzerland. Ex-Stanford. More on LinkedIn!
This episode is also valuable if youβre trying to figure out how to build a better lab.
Understanding the science and role of work-life balance is essential for creating a healthy and productive group.
+ General work anxiety that is not caused by advisors
+ Overwork and anxiety caused by supervisors
+ Practical tips for students and postdocs (based on my and othersβ experiences)
+ Actionable advice on how to improve work-life balance in your own lab
I discuss:
- The science of work-life balance (depletion, enrichment, the spillover effect, peak-end theory, delayed gratification, and the impact of daily fluctuations)
- Common misconceptions about work-life balance
- Mechanisms that lead to imbalances in academia
My solo episode on βWork-Life Balance in Academiaβ.
youtu.be/9zfGcRGqN_c
Many students and postdocs ask how to manage their situations. I decided to create a dedicated episode addressing the many questions and concerns that students have raised in conversations with me.
π Evergreen Content:
The content should stay valuable for a long time. Previously, I created the Electrochemical Colloquium with βevergreen lectures,β which became very popular within the Electrochemical community. Now, itβs time to move on and make something bigger.
5. Science is evolving rapidly across multiple fields, but few channels / podcasts cover it at a proper level. As an avid scientist myself, Iβve long hoped to bring deep conversations to the forefront (the Electrochemical colloquium was a just warm-up).
29.01.2025 16:00 β π 0 π 0 π¬ 1 π 04. Building a career in industry is not easy. What should you know when youβre already in R&D, design or sales? What are the best ways to move forward and excel?
29.01.2025 16:00 β π 0 π 0 π¬ 1 π 03. Many researchers want to make a tangible impact on society but have little guidance. In my view, an entrepreneurial mindset is key. But to get prepared? How to transition? How to succeed? How can you as a researcher build your own enterprise?
29.01.2025 16:00 β π 0 π 0 π¬ 1 π 02. Faculty struggle with funding, projects and growing groups. Many face challenges in team building, maintaining high-quality research, keeping up with their fields, etc. What can help? Leadership experiences shared by highly accomplished scientists and leaders in R&D.
29.01.2025 16:00 β π 0 π 0 π¬ 1 π 0π Key reasons are:
1. Students struggle with advisors, research, presentations, visas, internships, etc. Most have no mentors and lack career guidance. They look for curated & useful information but itβs largely missing.
π I am launching a resource for students, postdocs, faculty, industry researchers and science-based entrepreneurs.
I want to make a bigger change.
Currently, I am starting with a YouTube channel:
www.youtube.com/@andrew_akba...
Later, I will add it to Spotify / Apple Podcasts.
4. Your PhD is NOT the end of your education.
Itβs just the beginning of your research expertise.
It can easily take decades of R&D to become a true expert.
This deep expertise is vital for continuing innovations like those seen in Mooreβs law.
3. Real innovations donβt happen overnight.
In Mooreβs law, each 100x increase takes ~10 years.
So, donβt expect that your PhD will solve big things.
Instead, if possible, focus on generating knowledge that could serve as the foundation for new tech.
2. But scientists canβt build scalable technologies.
Prototypes - yes. But not real tech.
Itβs not their role.
Scientists generate the knowledge that can be used by talented engineers who actually build great tech.
Of course, it doesnβt mean one person canβt be both a scientist and an engineer.
1. It all starts with science.
Phenomena should be understood first.
Quantum mechanics, solid state physics, thin film synthesis, solid state electrochemistry, etc.
Understanding = developing a theory that can predict the behavior of a system.
Without it, there's no ground for great engineering.
1,000,000,000,000,000,000,000x improvement in computation/$.
Just imagine this scale!
My four cents on the role of scientists:
Tuitions at MIT are eliminated for students from families with low income.
β€οΈ BRAVO, MIT!!! β€οΈ
Education should be accessible regardless of the background.