Decision time
Well, now that I've heard that there's a distinct possibility that I might be done my PhD in about a year, it's time to start making some decisions. Frankly, I didn't think I'd be done that quickly - although, really, I'm not done yet. I have a lot of publications to put together, and things to make sense of before I leave, but the clock to start figuring out what to do next has officially begun.
I suppose all of those post-doc blogs I've been reading for the last year have influenced me somewhat: I'm going to look for a lab where I'll find a good mentor, a good environment, and a commitment to publishing and completing post-docs relatively quickly. Although that sounds simple, judging by other blogs I've been reading, it's probably not all that easy to work out. Add to that the fact that my significant other isn't interested in leaving Vancouver (and that I would prefer to stay here as well), and I think this will be a difficult process.
I do need to put together a timeline, however - and since I'm not yet entirely convinced which track I should follow (academic vs industry), it's going to be a somewhat complex timeline. Anyhow, the point of blogging this it is an excellent way to open communication channels with people who you wouldn't be able to connect with in person - and the first one I'd like to open is to ask readers if they have any suggestions.
Input, at this time would be VERY welcome, both on the point of academia vs. industry, as well as what I should be looking for in a good post-doc position, if that ends up being the path I go down. (=
Anyhow, just to mention, I have another blog post coming, but I'll save it for tomorrow. I'd like to comment on another series of blog post from John Hawks and Daniel McArthur. I'm sure the whole blogosphere has heard all about the subject of training bioinformatics students from both the biology and computer science paths by now, but I feel I have something unique to talk about on that issue. In the meantime, I'd better get back to debugging and testing code. FindPeaks has a very cool new method of comparing different samples - and I'd like to get the testing finished. (=
I suppose all of those post-doc blogs I've been reading for the last year have influenced me somewhat: I'm going to look for a lab where I'll find a good mentor, a good environment, and a commitment to publishing and completing post-docs relatively quickly. Although that sounds simple, judging by other blogs I've been reading, it's probably not all that easy to work out. Add to that the fact that my significant other isn't interested in leaving Vancouver (and that I would prefer to stay here as well), and I think this will be a difficult process.
I do need to put together a timeline, however - and since I'm not yet entirely convinced which track I should follow (academic vs industry), it's going to be a somewhat complex timeline. Anyhow, the point of blogging this it is an excellent way to open communication channels with people who you wouldn't be able to connect with in person - and the first one I'd like to open is to ask readers if they have any suggestions.
Input, at this time would be VERY welcome, both on the point of academia vs. industry, as well as what I should be looking for in a good post-doc position, if that ends up being the path I go down. (=
Anyhow, just to mention, I have another blog post coming, but I'll save it for tomorrow. I'd like to comment on another series of blog post from John Hawks and Daniel McArthur. I'm sure the whole blogosphere has heard all about the subject of training bioinformatics students from both the biology and computer science paths by now, but I feel I have something unique to talk about on that issue. In the meantime, I'd better get back to debugging and testing code. FindPeaks has a very cool new method of comparing different samples - and I'd like to get the testing finished. (=
Labels: future, Grad School
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