When I was a kid, one of my favorite games was Harvest Moon (the picture below). In this game, you inherit a farm and have three years (in-game time) to expand it, or the village’s mayor will take your farm back. In the game, you must collaborate with funny characters living in the town to build tools, buy animals, sell your harvest, etc. I have always liked it because most of the days, you don’t really do anything differently; you wake up, water your plants, collect the eggs, sheepshearing, milk the cows… – rinse and repeat. Always working on the larger goal of expanding the farm as time passes. Well, my current Ph.D. life weirdly parallels this game, and it’s actually kind of amusing.

This is how my days now echo the in-game routine: I rise with the sun, but instead of tending to crops, I dive headfirst into my calculations from where I left off. Carefully adding more terms in my Taylor expansions so that my equations grow slowly but steadily. Instead of collecting eggs, I am collecting data with my simulations with skyrmions. I am “codeshearing” every day. I have to “trim” my codes so they don’t grow wild and ugly. Instead of extracting milk from virtual cows, I am working patiently to extract valuable insights and solutions from all these data. As the cows in the game would moo-ve my farm toward prosperity, I hope these insights will moo-ve my research toward a published paper. And most importantly, just like I have three years to build up the farm, I also have three years to build up all this learning into a Ph.D. thesis.

The Ph.D. sure ain’t a walk in the park. It takes a lot of patience and incremental work. But just like I have so much fun doing the same thing in a game toward a larger goal, I am having fun with my Ph.D. I’m curious if my background in Brazil’s countryside is why I like this game so much! So here’s to more days of ‘farming’ data and mathematical equations while making the most of this unique Ph.D. journey!

As I reach the ten-month Ph.D. mark, I feel that time in Halle moves a bit funny. It feels like it is moving slowly and fast at the same time. This contradictory feeling perhaps comes from the contrast between the tree leaves on my way to work and my research field. They are slowly turning orange as autumn approaches, contrasting sharply with the fast-changing research on skyrmions. As I try to make sense of how time progress here, I am learning many unexpected things. I even developed an unexpected project (more about that coming soon in another blog). However, the most important and surprising lesson is not all about skyrmions. It is instead the importance of talking to people.

As an undergrad student, I have always followed the standard recipe to learn a new thing, attend classes, and spend hours alone struggling with books or papers. For some time, it felt that the rest of my academic career would be like this. However, in the Ph.D., as we get closer and closer to the edge of knowledge about some topics, we cannot find things in books anymore. Therefore, we have to spend hours going through the scientific literature to understand a “simple” thing. We must learn the current state-of-the-art of the research field and the next steps we should take in our research project. I realize that we can learn a lot and fast by simply talking to people. I recently seriously thought about this while attending several conferences, such as the NeuroSpin summer school organized by our ESR3 Marco (excellent job, Marco!). I cannot emphasize how much I have learned by talking with Ph.D. students and Professors. Things that I have been struggling to understand for months become apparent, and research directions that I have not even considered become a new path. I guess I have always underestimated how a simple conversation over a coffee can shape everything. Of course, I always expected that discussions would be meaningful. Still, I have also underestimated the tremendous impact they can have on our research. During the pandemic, virtual meetings were useful; however, they cannot replace eye-to-eye discussions. I come back from conferences with many new ideas shaping my work. Talking to people… what an enjoyable way to learn. This is a lesson that I will carry for life.

In the spirit of talking with very smart people, it has also been a great pleasure sharing an office ESR 11 Vishesh and recently arrived ESR 12, Arturo. They are visiting my group for their secondments. Hopefully, I can continue learning from them, especially during our informal lunches.

What I like about the SPEAR network is that we are not only building a scientific network but also friendships and a support network. I have been preparing talks and posters with helpful criticism from Vishesh and ESR 9 Sergio, who have become dear close friends. Additionally, I received their support in the audience of my very first international talk, shown in the picture taken by them (with spoilers for my next blog).

It’s been a little over a month since I arrived in Germany, and the first impressions are amazing. Halle is a beautiful town, with lots of green areas. We have a huge park near the campus where I can go for walks and enjoy nature.

I have had the warmest welcome, starting with a cake party thrown by my main advisor Dr. Mertig. Everyone in the group is really friendly and supportive, they have been assisting me in every single little problem. This certainly has been helpful as I navigate through a new country and language. Additionally, as part of my personal development and, of course, to get settled in Germany, I have enrolled myself in a German course provided by SPEAR and the University. This is a very fun and rewarding experience because I get to make a lot of friends from all over the world.

In the first month, I have also started my baby steps in this new field of research. I’m particularly happy to be developing project ESR10, Skyrmions have fascinating physics with promising applications. I have been learning tools that allow me to visualize these awesome spin textures and create simulations such as the one I made below of a Skyrmion in a racetrack memory. Hopefully in the next few months, I will be using these tools to uncover the physics and applications of Skyrmions.