The PhD Council Podcast dives into the world of PhD life at TU Delft's Electrical Engineering, Mathematics and Computer Science Faculty (EEMCS).
We cover research, challenges, and practical tips. We interview PhDs, professors, and postdocs to share their experiences and insights, helping fellow PhD candidates navigate their academic journey effectively. Join us for candid discussions and valuable advice to make the most of your doctoral studies.
PhD Trajectory: Your last steps as a PhD Candidate
In this episode, Sanne Alblas from Graduate School talks about all the essential things PhDs in their last year should know and do. Are you planning to finish your PhD soon and don't know where to start wrapping up? Or you are supposed to be finishing your PhD, but you're nowhere close to wrapping up your thesis? Then this episode is for you!
Important Links:
Overview: https://intranet.tudelft.nl/en/group/guest/-/i-m-a-phd-student
Doctor Management Platform: dma.tudelft.nl
EEMCS PhD Council: https://www.tudelft.nl/ewi/over-de-faculteit/eemcs-phd-council
Host: Zuzanna Osika (z.osika@tudelft.nl)
8 Jun 2024
PhD Trajectory: Your first steps as a PhD Candidate
In this episode Sanne Alblas from Graduate School talks about all the important things first-year PhDs should know and do. Have you started your PhD within the last 3 months and you're confused about EVERYTHING? Then this episode is for you!
Important Links:
Overview: https://intranet.tudelft.nl/en/group/guest/-/i-m-a-phd-student
Doctor Management Platform: dma.tudelft.nl
Graduate School Courses: https://tudelftgs.opleidingsportaal.nl/en-us/
EEMCS PhD Council: https://www.tudelft.nl/ewi/over-de-faculteit/eemcs-phd-council
Host: Zuzanna Osika (z.osika@tudelft.nl)
17 Apr 2024
PhD Deep Dive: Youri Blom
The sixth episode in our series, in which we dive deep into topics that PhDs in our faculty are working on.
Youri's PhD is on Photovoltaic Materials and Devices in the department of Electrical Sustainable Energy. The group specializes in applying advanced measurement techniques in combination with computer modeling for determination of (opto-) electronic properties, such as the density of defects in thin layers of disordered materials. The acquired expertise is used for the optimization of thin-film silicon solar cells and for the development of novel concepts using nano-structured materials for future high-efficient solar cells. A new research field of the group is directed towards the development of electronic components on flexible plastic substrates using thin-film silicon technology.
17 Apr 2024
PhD Deep Dive: Lorena Poenaru-Olaru
The third episode in our series, in which we dive deep into topics that PhDs in our faculty are working on.
Lorena's goal is to create a systematic method of monitoring and maintaining machine learning models in production against concept drift (data shifts). As part of the AI4FinTech Lab, I am enhancing the collaboration between academia (TU Delft) and industry (ING).
17 Apr 2024
PhD Deep Dive: Willem de Muinck Keizer
The fourth episode in our series, in which we dive deep into topics that PhDs in our faculty are working on.
Willem de Muinck Keizer is a PhD student at the Discrete Mathematics and Optimization group at the TU Delft. He works in semidefinite programming, which is a type of optimization problem with applications in and outside of Mathematics.
17 Apr 2024
PhD Deep Dive: Ids van der Werf
The second episode in our series, in which we dive deep into topics that PhDs in our faculty are working on.
Starting in August 2022, Ids is a PhD student at SPS with Richard Hendriks, working on a project about underwater communications, more specifically about creating a high bandwidth, doppler tolerant communication link. The project is a collaboration between TNO (a dutch research institute), the NLDA (Dutch defence academy) and the TU Delft.
17 Apr 2024
PhD Deep Dive: Carolina Centeio Jorge
First episode in our series, in which we dive deep into topics that PhDs in our faculty are working on.
Since October 2020, Carolina is a PhD student at the Interactive Intelligence group of TU Delft. Her PhD has a special focus on mental models in the context of human‐AI teams, such as enabling artificial agents (e.g., robots) to understand and predict human teammates and effectively act accordingly. Carolina's main research interests lie in Behaviour Analysis and Pattern Recognition.
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