Science

I'm a PhD candidate too - my contract is finished now, but I am still writing my thesis. So I am currently at the awkward intersection of finishing a thesis and looking for a job.

My PhD focus is in applying time-resolved spectroscopic techniques to study the excited state dynamics of molecules. Basically, these are experiments in which a pulsed laser is used to excite the sample and a second probe light is used to measure a change in the absorption in response to the light. By measuring these changes in the absorption as a function of time, and applying quantum chemical methods to calculate the spectra of potential intermediates, one can sort of recreate a molecular movie of what the molecule is doing after it absorbs light with a time resolution of femto to picoseconds. The materials that I study are organic dyes that are useful for microscopy, as well as molecules that respond to EUV light for applications in photonanolithography (for making the very small transistors in computer chips).

I am also an "amateur" scientist when it comes to biology, as many of my hobbies are nature-based and it's not like I can turn off the science bug when it comes to hobbies.

I'm a research professor of neurology, and my research focuses on developing novel cognitive assessments for measuring early-stage Alzheimer's disease and other types of dementia.

It's science-y enough but I'm definitely not considered a scientist so much as a technologist. I work as a MRI (Magnetic Resonance Imaging) Technologist. Previously a X-Ray Technologist.

My machine does all the science for me but it's a pretty neat concept. Using magnetic gradients and RF pulses at hydrogen protons to acquire accurate digital imaging.

PhD in Geology. Now am a research scientist working in more general materials science/chemistry/gas adsorption. My thesis was on lunar petrology where I studied Apollo 16 samples. My current research is much less exciting. Haven't touched a rock in ages and my geologist heart hurts from it haha

working in a cultivated meat startup, msc in biotechnology, but now disillusioned and wanting to do something academic/more down to earth and helpful

I'm an associate professor in computer science, currently working on stochastic algorithms (like genetic algorithms).

Until now, I've been working on quite abstract optimization problems, but I'd like to switch to more useful applications, like social inequalities or climate change.

I'm a software developer who works on Backend/APIs/Cloud/AI.

Currently browsing Lemmy instead of actually doing work in my home office...

I'm a professor of chemistry, I mainly do organometallic research but we've been branching out into other areas.

@realChem I retired from being a chemical engineer in the environmental remediation of hazardous wastes and petroleum. Went sailboat cruising, and stopped along the way to teach high school chemistry four years. Now I volunteer with OpenAir Collective working on CO2 removal (from atmosphere, not point sources - later is called "capture" instead of "removal" for some reason). Without chemicals, nothing would exist!

I am a welding Engineer working in a mixed role of failure analysis and research. Most of my projects are sustainability based.

Graduate student in ecology, just finishing up.

I work a day job in IT, have a side business doing IT, work an occasional shift at my buddy's liquor store, and sell furniture on the side.

I work at a company that makes large and small rocket engines (e.g., the ones on SLS/Artemis, and solids for a number of defense programs), and various electrical power systems (e.g., for the ISS and some of the Mars rovers). I manage the space software engineering organization.

Development engineer working with autonomous vehicles.

Worst part of it is having to interact with Tesla bros who think that they have self-driving figured out despite what experts in the field tell them.

Best part of it is being able to code functionality then sit down inside an actual physical vehicle and see, hear, and feel it act out what you programmed. Incredibly satisfying.

I've got a PhD in nonlinear vibrations. I've left academia for the space industry though.

I have my PhD in physics with a background in material science and primarily work in Pharma developing early stage biologics programs (antibodies, gene therapies, etc). That means basically any of the molecules I have worked on are maybe 5+ years away from reaching the market. I don't meet many other physicists in this field, instead it is primarily chemical engineers and biochemists. Even working in industry, I still have the chance to publish and attend conferences though.

I work in mine closure. I create plans to re-integrate them back into the surrounding landscape, and provide valuable end land uses (not just those centred around ecosystem re-establishment).

PhD candidate, archaeologist in a physical geography department. I read dirt to reconstruct ecosystems over time.

I'm a Data Scientist (physics PhD) for a large enterprise company. I've been in this field for the last decade and I'm kinda bored with it. I'm not exactly sure what to do next though....

I’m working on my Astrophysics PhD. I study “galactic cannibalism” aka how galaxies grow and change by eating smaller galaxies. My big focus is on teaching and outreach though rather than research.

I'm a Mechanical Engineer who designs automation equipment. Basically lots of 3-6 axis robots, multi-axis gantries, various conveyance mechanisms, and other specialized automation equipment integration. Its fun because it is a job all about things moving from point A to point B.

I'm a postdoctoral researcher in chemical engineering with a background in mechanical engineering. I have been working on different materials (composites, nanocomposites, conductive coatings), but I am now working on an atmospheric water harvesting material to produce water in remote locations with low energy demands.

trained physicist with 2D materials background, turned all-round engineer with an ultrafast spectroscopy startup.

PhD student working in reinforcement learning (the branch of machine learning, not the neuroscience kind). Trying to figure out how to make more general agents, and I'm hypothesizing that making things bigger is a key ingredient.