A number of the sats I worked with are single point cameras .. the satellite spins about a major axis orientated in the direction of travel, the point camera rotates with the satellite and a series of points of data are written to a line of storage as the camera points at the earth and pans across as the sat also moves forward.
Data stops being written as the sat rotates the camera away from the planet and resumes once it has rolled over enough to again point at the earth.
It may seem like a pedantic difference; a "line scan camera" is stationary while mirrors inside it spin or another mechanism causes it to "scan" a complete vertical line - perhaps all at once, perhaps as the focal point moves Vs a camera in a satellite that has no moving parts that just records a single point directly in front of the instrument .. and the entire satellite spins and moves forwards.
This is not a medium entropy alloy, it's a standard alloy in terms of the ratio of components, which forms medium entropy intermetallic precipitates which gives the alloy it's properties. Intermetallic MEA is an odd term I'm not really familiar with and would want to look into more, but is a little suspicious. Furthermore, while MEAs (3-4 equal primary components) and HEAs (5+ equal components) do have good mechanical properties, I'd be wary of the atomic size argument, last time I've been involved in it, that argument has increasingly been questioned, as the atomic size of the elements in question are generally pretty similar.
Zeiss SMT is the leader in extreme engineering optics for semiconductor manufacturing. We come up every so often on HN as leaders in EUV optics manufacturing for ASML scanners. SMS is a branch of SMT concerned with standalone tooling for quality assurance and defect inspection in semiconductor fabs (tools like the AIMS EUV or PROVE systems, for example). We bring complete solutions to the hypercompetitive market that is the semiconductor industry. The scale is vast – the work you can be involved in ranges from simulations at the nanometer to how to ship tools via using Boeing 747(s).
Software (and extremely diligent/precise engineering… honestly it blows my mind regularly) underpins everything we do and spans the same vastness of scale. We (Zeiss SMT, but also SMS where I work) are hiring in pretty much every IT field as we modernize systems, upgrade legacy code, and build cutting-edge new tools and platforms to remain at the front of the field. Specifically interesting to HN (I think) is my team, which works on developing extremely fast physics simulation and data processing code utilizing classical algorithms, machine learning, and _AI_, all on premise. We also build and maintain the hardware (HPC clusters) to enable these developments.
Desirable skills
Python (scientific, HPC, ML, physics simulation), image analysis (big, big data processing, very fast), CUDA, C++, HPC architecture design/on premise rack configuration, HPC admin, DevOps infrastructure (physical as well as CI/CD), GPGPU programming, FPGA programming, QA engineering, Kubernetes
I can post some job links tomorrow, but if you have questions please either comment or reach out to me at thomas dot pekin at zeiss dot com. I’ve been working here for a year and it’s a lot of fun.
I did see their posts about the Eindhoven one and tried to apply to the relevant positions accordingly but some of the reqs that mentioned Julia explicitly got scrubbed very soon after I saw them.
I don't speak for the whole company, but in our project we are heavily Python based, Julia might be used by the central research team or something though.
Feel free to reach out to the email above, I think it's one of the most interesting jobs I could have gotten coming out of a postdoc due to the mix of physics and real world, technically interesting problem solving.
Grad students at Cal cost a professor ~100k a year, and then leave after 2-5 years with any optimizations they might have personally made. They also only work 6-12 hours a day, and having been said grad student, get mind numbingly bored after about 10-15 repetitive syntheses, spending lots of time on them, when the (only) interesting part, is the XRD pattern at the end... I would have absolutely advocated for such an arm if I was still there.
There are many reasons why wasting a grad student on this problem (rather than a tech) is bad. I say this with a lot of experience: I was that grad student and I was the guy automating the lab and the guy setting up the compute infrastructure.
I think core facilities are better candidate than individual professor labs.
The others might move wafers 24/7 but they don't have three shifts of R&D scientists and engineers working to continuously analyze the results/improve yield/performance 24/7. TSMC does.
I worked as a grad student in LBL/UC Berkeley for 5 years. At the time I didn't want to make a career of it, but if I had to go back to a national lab, that might be the one. The culture was department dependent, but at the Molecular Foundry was pretty good. The campus is gorgeous, it's not isolated like other national labs at all, pay is low compared to tech for the Bay Area, but not pennies, and the conversations and people you can meet are fantastic. Always lots of new faces with students and visitors, but the core group that I interacted with were all very kind, helpful, hardworking, and just fun to talk to about science! I can definitely recommend it.
I am 99% sure I know him - shares your same first initial? Tell him hello from me (TC Pekin), I always liked talking to him during some down time, and the feeling was mutual. As a grad student I always liked talking to him and hearing about all the history and his time at NCEM!
I've made a website that does very rudimentary simulation of transmission electron microscopy diffraction patterns, as a tool for myself and other researchers. Was a big leap for me learning how to do so, but it's been fun (and frustrating) to learn about Flask, Docker, cloud instances, HTTPS etc. along the way!
I agree with this, my alcohol consumption has really tailed off after I started training for a marathon. It is impossible for me to actually train hungover and the required amount of training just so you can finish is 4-5x a week.
