A feeling common among senior undergraduates (and senior high school students, and junior undergrads, etc) is the your-life’s-about-to-start-what-are-you-going-to-do pressure. The common questions one faces include but are not limited to: What are you doing post-college? Are you getting a job? Where are you going to live? What about grad school? Will you stay in academia? What about high-paying tech/business/etc jobs?

Surprise: That feeling of uncertainty doesn’t always go away after graduation, or even after a year. Probably not even after five, but I haven’t gotten that far yet. I may be more on track than some. I’ve set my sights on a career in science and research, the next step of which will, for me, be grad school. But I’m sure I’m more uncertain than others.

So, from a student who’s been there, here are some thoughts on…

College, Internships, and Figuring Out What the **** You Want To Do With Your Life

You already know that there are a lot of questions to answer.

For example:

If you’re considering a STEM career, like me, then a lot of people will say you have two options — academia or industry. Even before you try to tackle which of these you might like, though, you may need to figure out what specific area you want to enter — if you’re a computer scientist, would you want to develop algorithms? Would you rather work on security applications, or distributed networks, or use your CS knowledge to program laser space robots, or any of thousands of other options?

Some programs of study prepare you for specific careers; others leave you with a remarkably open-ended future.

So… how might you even start figuring out your life?

The most important thing to know

You do not have to do the same thing forever.

That’s important, so I’ll say it again:

You do not have to do the same thing forever.

If you pick a career direction now, you aren’t stuck with it for the next forty years. People change jobs. People change careers. I had a particularly good role model in this regard: my father has owned a sailing school, consulted for small businesses, recorded punk bands, and then there was this thing in Africa… Point is, you can do whatever cool things you want. You don’t have to do the same thing forever.

Granted, knowing that you can do something else later doesn’t necessarily help at all with figuring out what to do now. On to the next section:

The “Figure My Life Out” Toolkit

Your two best resources are

1. yourself
2. other people

By this, I mean that you should (1) try new things as a way of figuring out what kinds of things you like doing, and you should (2) talk to other people about their experiences in doing different kinds of things. Gather information about what makes you happy, what kind of work you find worthwhile, what kind of jobs sound just plain cool, and so on.

Try new things

There are several ways to proceed. Three of my favorites:

1. Classes. The reason I took my first computer science class was because one day, I looked at my laptop and thought to myself, I don’t know how you work at all. I signed up for CS101, vaguely hoping that I’d learn something about the Magical Innards of Computers. I didn’t — instead, I learned some Magical Incantations and Rituals for making little Java applications. I also learned that programming was fun, and that I’d probably enjoy further classes in that area. Now? The graduate program I’m entering has a heavy CS component, and most of the other programs I’d applied to were CS programs.

The point of this story: Take classes in novel areas. Either in person, at school, or via one of the increasing number of free online courses. It’s one of the best ways to explore new subjects. If, after the first couple class sessions, you really hate it? Drop the class. It’s worthwhile to remember that you may love a subject but dislike a professor, or love a professor enough to make any subject taught interesting. Regardless, it’s a nice, easy, safe way to explore new stuff. You never know what you might find.

2. Independent learning. My personal favorite here is reading books on all sorts of cool non-fiction topics. Pick up a book at the library on a topic you know nothing about, read it, see if it interests you. Other options include taking free online courses (see point 1), joining clubs to try out new activities, volunteering for new programs, … lots of potential here. Spend time thinking about what activities you find worthwhile and important — helping people or animals in need? Engineering solutions to problems in the world? Making a lot of money so you can live the life you want?

3. Internships etc. The best time for this, if you’re in school, is those warm summer months between semesters. Summer internships. Summer research programs. If you’re interested in cognitive science or computer science, I have a Sydney Uni’s Study Abroad Internship Program. Many schools have field work programs or internship programs — does yours?

Two pieces of Important Advice:

Don’t do the same thing every summer

and

It’s okay if you don’t like your internship/job/field work/etc.

Spend a summer or two doing research on a university campus. See what it’s like working in at a government facility. Try out an internship with a company. Test out different environments and see what you like. See what you don’t like. Discovering that you don’t like some particular kind of work is as helpful — if not more so! — than finding that you do like something. You’ll be able to rule out jobs that make you do that.

I admit, I didn’t strictly follow this advice. I spent two summers on a research project at my home college, then two summers at different NASA facilities — again, research projects, not with a company. I dabbled in research during semesters as well.

What I did do, however, was vary the kind of research I was exposed to. Working on autonomous learning in robots at Vassar was science; the laser space robots at NASA last summer and the Autonomous Vehicle Lab the summer prior were very much engineering projects. The emotions group I work with now, among others, exposed me to psychology and cognitive science research methods.

… okay, so that’s all well and good. How do you actually find a good internship opportunity?

Google is your best friend. So are people you know — see the following section. I’ve been invited to apply, but I’ve also spent weeks or months searching online for intriguing opportunities. Search for lists of internships (e.g., in cognitive science and computer science) or lists of databases of internships, and search all these. If your university has a Career Development Office or the like, go talk to them; they have even more resources.

My advice: Start early. Deadlines for summer internship applications tend to be in January and February; sometimes, they may be as late as March or as early as October. You’ll need time to find the opportunities to apply for, and you’ll need time to collect the materials (such as an updated resume) for your application.

Talk to people

This point sounds relatively straightfoward. Okay, have conversations with people. But there are several ways to get the most out of those conversations…

1. Listen to advice. You know all those other people who want to give you advice? Let them. These people may be your grandparents, your professors, other relatives, older students, current professionals … anyone, really. Let them talk. Listen to what they all have to say. You don’t have to take their advice — not a word of it — but now and then, they say useful things. And you won’t hear those useful things unless you’re listening.

2. Use your resources wisely. You probably know a lot of people. These people probably know a lot of people. Some of those people might be working jobs you’re interested in. Some of those people might know people who are looking for people to work for them. Get the gist?

A further couple points:

Tell people what you’re looking for. If they don’t know, they can’t help you or hook you up with opportunities they find.

If you’re in school, your school probably has a Career Development Office or the like. Talk to the people there. Tell them what you’re hoping to find — whether it’s a specific internship, information about a particular field, or just that you’re hopelessly confused and would like their help. They have resources for you. It’s their job to have resources for you.

See if you can set up informational interviews with people in fields you might be interested in, to get the scoop on what it’s like to work that kind of job.

Attend job fairs — a lot of schools host them; does yours? — and even if you’re not looking for any particular job yet, it’s a great opportunity to talk to recruiters about the kinds of jobs out there.

3. Ask a whole bunch of questions. The best thing to remember is that, in general, people really like talking about themselves. Use this to your advantage. Even simple questions like “So, what’s your job like?” and “Can you tell me more about what it’s like to do X?” can lead to worthwhile information.

Then what?

The next step is pretty simple. (Do recall, simple does not necessarily mean easy.)

You’ve learned about your options. You’ve learned about what you like doing. You’ve learned about what you find worthwhile. It’s time to stop evaluating possible directions to go in and actually go in a direction.

Maybe now, you know exactly what you want to do with your life. Great — do that! Or maybe now you’ve concluded that no job will ever make you content. That one’s a bit tougher. Try to find something at least tolerable, or, like some people joke, marry rich? Or maybe you like everything, and the sheer number of options is still overwhelming. Your best option here: find a reasonable job in a reasonable location near people you like. Go in some direction, at least for a while. If you love it, great. If you don’t, move on.

Still have questions? Post a comment below! Maybe I, or someone else, will have helpful advice for you specifically.

And no matter what, remember: You don’t have to do the same thing forever.

Engineering Boot Camp Documentary 2011

There are some other videos up now, too — click over to the GSFC robotics youtube channel; there are more than I’m linking here:

GROVER on the beach: The Greenland ROVER during a test run on the beach, during our trip to Wallops.

LIDAR image test: Watch a 360-degree image from the LIDAR sensor on one of my team’s robots as it’s formed.

I encourage you to take a look!

This one’s a life update post, but it’s also a “here’s some cool science!” post.

A few days ago, I graduated from Vassar College with a Bachelor of Arts in Cognitive Science and a correlate in Computer Science. I was decorated with general honors, departmental honors, membership to Psi Chi, and membership to Sigma Xi. My time there was awesome.

What’s next?

No lazy summer!

Well, no lazy summer break for me! I’ve already spent three days in my summer lab at NASA Goddard Space Flight Center, where I’ll be working on a number of software development projects. The primary one is a LIDAR-assisted robotic group exploration project, in which we’re going to have a small fleet of robots — a mothership and some workerbots — use 3D LIDAR data to autonomously map and plot paths through an area. This kind of robot fleet could, eventually, be used to explore other planets. One of the big challenges will be dealing with the 3D image data. I’m looking forward to learning more image processing algorithms!

Another project is the redesign of the Greenland Robotic Vehicle, a big autonomous rover that’ll drive across Greenland, collecting a data about snowfall, mapping, and exploring. Did you know there’s ice on that country two miles thick? I may also get to play with a robot that has stereo vision.

You can see some of these robots (and what life in the lab may be like) in this great video about last year’s interns.

So far, I’ve met a bunch of intelligent, friendly folks, started catching up on already-written code, and begun to delve into the platforms, libraries, and algorithms we’ll be using and developing this summer. Our mentors have already proven themselves to be enthusiastic and helpful. Just yesterday, one of them told us,

“You’re engineers at NASA. You want to go where things are, and then go beyond.”

That may end up being our theme for the summer.

A little overwhelming?

There’s going to be so much going on. It’d be easy to get overwhelmed — especially now, jumping in and floundering around in the code, the projects, the people. So much to learn.

But as I sat in the lab today, reading about ROS, going through tutorials, reading about PCL and feature detection in point clouds, digging through last summer’s confusing pile of C# and C++ programs, I realized I wasn’t overwhelmed. And it was because of all the other experiences I’ve had that’ve gotten me to this point.

Confidence. My first URSI summer, flailing through Microsoft Robotics Studio and complicated conceptual theories. Figuring out how to deal with webcams and image data my second URSI summer, reading papers on optical flow and implementing algorithms. Last summer: excavations of an open source flight simulator, the Aeronautics Student Forum, dealing with different work styles and communication styles in my LARSS lab. And more.

I think about all those experiences, and I’m not afraid of this summer. I could almost be overwhelmed — perhaps thinking that everyone else has more of the right kind of experience; I wasn’t trained as a classic engineer — but I know I can succeed. My non-engineering, cognitive science background sets me apart and lets me look at problems a little differently than everyone else. I’m an asset.

I know how to learn. I know how to do research.

I can conquer this summer.

My first post-graduation plans have been finalized: I’ll be returning to the fine world of software development and robotics for a summer internship at NASA Goddard Space Flight Center. I’ll be working with a diverse bunch of engineers and interns on what I expect will be super exciting, super cool projects.

Thesis!

On Friday, I turned in my undergraduate cognitive science thesis. It’s been a year in the making — I started brainstorming ideas last April, spent all summer reading up on relevant literature, and all of this school year developing my model, programming the simulation, running experiments, and finally, writing about all of that.

It’s a little weird to realize that I don’t have to constantly be thinking about this project any more. I don’t have to be, but ever since handing it in, my thoughts continue to swirl around what further analyses to do on the data I collected, how to fix up the studies I did to get more powerful results, which studies would make sense as the next step…

Here’s the abstract:

A biologically inspired predator-prey study of the effects of emotion and communication on emergent group behavior

Any agent that functions successfully in a constantly changing world must be able to adapt its behavior to its current situation. In biological organisms, emotion is often highlighted as a crucial system for generating adaptive behavior. This paper presents a biologically-inspired predator-prey model to investigate the effectiveness of an emotion-like system in guiding the behavior of artificial agents, implemented in a set of simulated robots. The predator’s behavior was governed by a simple subsumption hierarchy; the prey selected actions based on direct sensory perceptions dynamically integrated with information about past motivational/emotional states. Aspects of the prey’s emotion system were evolved over time. The first study examined the interactions of a single prey with the predator, indicating that having an emotion system can led to more diverse behavioral patterns, but may not lead to optimal action selection strategies. In the second study, groups of prey agents were evolved. These agents began to utilize alarm signaling and displayed fear contagion, with more group members surviving than in groups of emotionless prey. These results point to the pivotal role emotion plays in social scenarios. The model adds to a critical body of research in which important aspects of biological emotion are incorporated into the action selection mechanisms of artificial agents to achieve more adaptive, context-dependent behavior.

I collected up all the articles, blog posts, and cool videos about my LARSS summer into one nice, neat page. There’s new material there – I’ve included our project abstract as well as videos of flying quadcopters!

Check it out.

You know you want to.

On the last day of my LARSS internship, NASA EDGE filmed my lab for their Future of Aeronautics episode! It’s currently up on NASA’s main page in the “Podcasts and Vodcasts” section, and it’s available both online and through iTunes. The opening montage has clips of my labmates and I, and the segment about our work starts at 19:18 and lasts three minutes. If you want to see just our segment, it’s on youtube.

I encourage you to take a look!

Wednesday, August 4th. 10AM. The Aeronautics Student Forum.

My lab is lined up in the front row, fidgeting, exchanging nervous glances. We trade seats between the other students’ presentations, taking turns with the laptop to read over the half-done powerpoint.

The motion tracking camera system is set up (we were in the building until 10pm the previous night, testing our hardware and software, ensuring it’d all be ready to demo). One of the cameras lurks beside the white screen, ominous, a constant reminder that it’s our turn in an hour, and like or not, we don’t have our finalized slides and some of us don’t even know for sure whether we’ll be speaking.

It was nerve-wracking.

It was also remarkably exciting.

Presentations, preparation, control

I usually plan presentations out to the last sentence. I know I’m not an improv whiz, so I practice my talk out loud over and over. Any slides I have, they’re done at least two nights ahead of time. Practice, preparation, organization. No need to worry because I have everything under control.

This presentation at the aero forum was the opposite.

The previous week, to the relief of my labmates, I’d tried to organize everything (the slides, the talks, the demo). But our mentor, Garry, told us not to worry about any of it. He kept repeating that: don’t worry. It’s just a presentation.

None of us were convinced.

It wasn’t until Garry sat down with me and explained what he had in mind–how he was going to help compile photos and diagrams into a logical order–that I trusted he was right. No need to worry. He had given scores of presentations. He had good ideas. He frequently pulled things together last-minute. It’d be okay.

In short, when he explained that, I consciously relinquished control. I mentioned control (and the lack thereof) in the context of volleyball games with my lab. The same idea comes into play here: Setting perfectionism aside, trusting that someone else is competent enough to get the job done. Teamwork. All that good stuff.

Coming together last-minute

Garry showed up not long after 10AM, printed copies of the finalized powerpoint in hand. As our time slot approached, my labmates and I shuffled discretely through the slides, still worried, still anxious.

Our turn came. We trooped up to the podium, all nine of us. We spoke. Twenty minutes, all told (not too long, really), plus the demo. We explained our newly established Autonomous Vehicle Lab, its capabilities, and what the audience would see in the demo. We flew our quadcopter. We demonstrated object tracking and obstacle avoidance.

It went well. It went better than well: our presentation was splendid.

Everyone knew what to say. Everyone was clear, concise, and comprehensible. Perhaps it was because we were not prepared that we were prepared: rehearsing, in our minds, coherent sentences about our parts of the project. Recapitulating our work with the quadcopters, the DGPS system, the Vicon cameras, the many vehicles and pieces of software. Unsure of what we would need to say, and thus, preparing for the worst.

If not for Garry’s persistent “don’t worry about it”s, I would never have experienced a presentation this way. I’d have planned out that talk and every one after, never daring take a chance on not preparing enough and not practicing enough. Now I know. Our aero forum talk was proof: Things can come together last-minute.

That said, I think I still like having my slides done more than an hour before the presentation. As engrossing an adventure as it was, last-minute isn’t going to become my style.