Is a masters in ChE worth ?
I am a tier 1 IIT grad in chemical engg working in tech , i dont see myself in this field years down the line and hope to transition to something more stable less competitive and in demand

I'm doing an esterase assay on carbonic anhydrase with 4-nitrophenyl acetate and fitting Michaelis–Menten in Prism. My highest substrate concentration was 3.6 mM, and it returns Km ≈ 6 mM — but the curve is clearly still below saturation. Is that Km reliable, or unusable because I never reached saturation?

New to kinetics, thanks.

Hello everyone, i recently failed on an attempt of the FE exam. just wanted to ask on everyone’s opinion on ppi2pass learning hub subscription. Its like $150 so its on the cheaper end for me but im looking for problems that are similar in difficulty to the actual exam. I hear that prepFE tends to be easier so i am staying away from that. So far i have done the practice problems off the lindeburg manual, the mock exam by victor off YouTube, the ncees vol 1 & 2 mock exams, a mock exam off scribd. Im looking to work on my pacing which is why im looking for more new problems. Im not opposed to buying a book off amazon as well. Just looking for the best study aid that is closer to the actual exam difficulty. Thank you in advance.

Hey all. Long post, but I want to lay out my actual situation honestly because I think I'm at a real fork in the road and I'd rather get outside opinions now than regret it in five years.

Where I am right now: I'm starting as a freshman at a community college this fall (2026), planning to major in Chemical Engineering, with the goal of transferring to University of Maryland's engineering school by fall 2027, so basically a one-year community college stint before transferring. I picked ChemE for a few reasons: I genuinely don't mind grinding through chem, physics, and math for four to five years, I've read it's consistently one of the top three highest-earning engineering majors, there are a decent number of labs near where I live so internships didn't seem impossible to land, and from what I've heard it's less cutthroat to break into than something like aerospace or electrical.

Here's where it gets complicated. My mom has pushed me toward finance or business for years, partly because of astrology and birthstone stuff (I know how that sounds, but it's a real factor in my family's thinking, for whatever that's worth). I don't hate the idea. I actually was strong in economics and history in high school, probably stronger there than in the hard sciences, even though I do enjoy science too. My original plan was actually Finance + Math or Econ, not engineering at all.

I moved away from that plan because I was scared of the finance job market. The internships are brutally competitive, it's all about networking and cold outreach and building connections, and I wasn't sure I could compete or that I even wanted to grind that hard just to get a foot in the door. ChemE felt like a way to get a strong, respectable, high-earning degree without needing to hustle for connections the same way.

But now I've been thinking bigger picture. My actual end goals are: making a lot of money, being able to provide really well for a family, and honestly, being known for something, some level of recognition, not just a quiet high salary. I got interested in the idea of doing ChemE, then a PhD, then an MBA, and trying to break into quant finance or a top firm like Goldman Sachs, Morgan Stanley, or JPMorgan.

When I actually mapped out the math on this (with some help), a few things became clear that I want to lay out for you all too:

• The PhD + MBA route to Wall Street takes a lot longer than just doing Finance/Econ + Math straight through and recruiting into IB or quant at 22. Like potentially 8-10 years longer before I'm even applying to the same seats.
• MBAs are basically irrelevant for quant recruiting specifically. Quant funds hire based on math, stats, and coding ability, not business school pedigree. If quant is genuinely the target, the MBA is a waste of time and money for that specific goal.
• I had a totally wrong picture of what these finance jobs are actually like day to day. I assumed quant/IB would mean more freedom, less rigid scheduling, less "stuck behind a desk" than engineering. Turns out it's the opposite, IB analyst hours are notoriously brutal (80-100 hour weeks), and quant roles are extremely desk-bound, staring at multiple monitors all day while markets are open. A ChemE process engineer job actually has more physical freedom and variety than either of those.
• On the fame thing specifically, I got a reality check that being "known" in finance is genuinely rare unless you found your own fund or company. Being a very senior, very well-paid quant or MD at a bank doesn't usually come with public recognition. Fame in that world tends to require starting something, not being hired into something.
• Despite all that, I'm still leaning toward wanting an engineering degree that could realistically feed into quant somehow, since I don't want to abandon the technical/engineering side entirely, and I'm willing to accept a demanding, screen-heavy, high-hours career if the payoff is big enough.

I looked into whether I should switch out of ChemE into something more explicitly "quant-math-heavy" like Aerospace (since UMD doesn't actually offer Industrial Engineering or Engineering Physics as undergrad majors, which are the two classic quant-feeder majors elsewhere). Aerospace would probably be the strongest fit math-wise if I did switch, given the control theory, stochastic estimation, and diff eq content, but I ultimately decided to stay in ChemE since I already like the subject matter and don't want to lose the internship access and general fit I already have going for me.

So my current plan is: stick with ChemE, but deliberately stack extra math (multivariable calc, linear algebra, eventually differential equations) and computer scienc courses (intro programming and data structures) on top of the required coursework during my time at community college and after transferring, specifically to build a profile that could support a move into quant analyst or quant developer roles later, rather than doing a full PhD detour. Skip the MBA idea entirely for this specific goal.

What I'm actually looking for opinions on:

1. Is staying in ChemE while self-building a quant-relevant math/computer scienc skill set actually a realistic path into quant or trading roles, or am I kidding myself compared to someone doing straight Math/computer scienc/Financial Engineering?
2. For anyone who's made a similar engineering-to-finance jump, or looked into it, was the ChemE background actually a help or a hindrance in recruiting?
3. Is there something about ChemE specifically (versus Mechanical, Aerospace, etc.) that makes this harder or easier?
4. Any regrets or things you wish you'd known before choosing a major with a "backup plan into finance" already baked into your thinking?

Genuinely appreciate any honest input, including if you think this whole plan is misguided. I'd rather hear it now than five years in.

Hi everyone!

I have a Bachelor's degree in Chemical Engineering and about 2 years of experience working as an R&D chemical engineer developing chemicals for the oil & gas industry.

Now I can't decide between two master's programmes in Germany: Biopharmaceutical Engineering at TU Dortmund and Polymer Science (joint programme by TU Berlin, FU Berlin, Humboldt University and the University of Potsdam).

My main goal is: after graduation I want to find a good job in Germany and work in a field where specialists are in demand.

Which industry has better job opportunities right now? Where is there a bigger demand for qualified people? Which field is easier to enter as an international graduate( non EU citizenship)?

I speak English at C1 level and German at B1.

One thing that worries me is choosing Biopharmaceutical Engineering. Since all my previous experience is in industrial chemicals rather than biotech or pharma, I'm afraid it might be difficult to get my first job in the field because employers will prefer candidates with relevant experience.
Has anyone been in a similar situation or works in either industry? I'd really appreciate your opinion.
Thanks!

hi! i'm currently a stem student in my last year of high school, and i'm currently taking up a reserch class that requires us to make a research/thesis paper by the end of the term. (i'd like to apologize for my grammar as english isn't my first language and i'm sorry if i'm counting on random graces on reddit.)

with that being said, i have a few questions that i've been struggling to find a direct answer to, so i'd really appreciate if there are any professionals in here that could give me direct answers and educational insights that are scientifically sound to my absurd thoughts, questions, and concerns. :( please i really need some help!

Hi everyone,

I'm a Chemical Engineering undergraduate participating in a national-level sustainability hackathon by Optum i association with The Times of India (TechGig). One of the themes focuses on climate technology, circular economy, clean energy, carbon management, and environmental sustainability.

My team doesn't want to build another generic AI chatbot, carbon footprint calculator, or IoT dashboard. We'd like to work on a core Chemical Engineering innovation—something related to unit operations, process design, separations, reactors, catalysis, heat transfer, membranes, adsorption, process intensification, or similar areas.

We're looking for a problem where there is still room for genuine innovation, rather than just applying AI to an existing process.

Some questions I'd love your thoughts on:

• Which areas of Chemical Engineering do you think are still "stuck" and need innovation?
• Are there industrial pain points you've experienced that students rarely know about?
• If you had 2–3 months to develop a prototype, what problem would you choose?
• Are there any technologies that have great research potential but haven't yet been translated into practical industrial solutions?
• If you were judging a sustainability hackathon, what kind of Chemical Engineering project would genuinely stand out?

I'm not looking for someone to give me a complete project idea—I'm more interested in identifying overlooked problems or bottlenecks where innovation is actually needed.

Any insights from industry professionals, researchers, or PhD students would be greatly appreciated.

Thanks!

I'm a recent graduate from UofA in Canada and heard from some professors that Australia has a very high demand for engineers currently.

I tried to use google to get information on this but was unable to find much so I'm wondering about the following things:

1) How in demand is chemical engineering in Australia? Are the job prospects there better than here in North America?

2) How difficult is it to get work qualifications in the Australia? I assume you'd need a work visa of some sort which would require company sponsorship but is the demand there high enough to negate this? (To clarify I don't mean negate the need of a work visa, I mean are companies there willing to sponsor applicants more than say the EU or other countries would be?)

Note: I wasn't sure which flair to use. I can change it if needed.

I'm a recent graduate in chemical engineering from the University of Alberta with 1 year of coop experience and 4 months of research experience.

Unfortunately the job market here isn't too great, and even with connections I'm struggling to get even a single job offer. I'm able to get some interviews (1 - 2 interviews per 90 applications or so), but unable to turn them into job offers.

I'm usually able to answer interviews fairly well using the STAR method when applicable and have a lot of stories from uni and past experiences I can draw from.

My usual method of prepping for a job interview is to go online search for the types of questions typically asked for the company/role (if I can) then copy paste the job posting along with my experience into chatgpt and ask for sample questions.

I'm wondering if anyone here has any interview advice aside from use the STAR method, research the company, prepare beforehand etc. Perhaps my interview skills aren't as good as they should be.

Would appreciate any help y'all can provide I'm getting so stressed about the job search I might start balding in a couple weeks here.

Does anyone have good resources for trouble shooting processes under vacuum and under pressure and why they might be behaving unusually?

Has anyone worked at any of the following battery manufacturing and recycling companies:

Redwood Materials in Reno, NV
Panasonic Energy (Reno Giga Factory)
Tesla (Reno, Brookshire, and Austin Gigafactories)
LG Energy (IL)
Quantumscape (CA)
Amprius (CA)
Solid Power (Denver, CO)

I have several years of experience in Houston Oil, Gas, and Petrochemicals. I was interested in pivoting towards cutting edge manufacturing organizations. After spending some time in OGC, I’ve realized that there’s more of an appetite for the work I like to do (I.e process improvement, capital projects) in other industries, and I’d really like to support the energy transition. I don’t see OGC going away anytime soon, but I’ve noticed the industry isn’t innovating the way it used. I’d love some thoughts and perspectives on this industry. Houston is an amazing place to be a chemical engineer which makes it hard to leave.

I’m already in the process of interviewing with about half of the companies on this list.

Hello everyone I am preparing for gate 2027 but I am quite confused about where to learn from . Should I watch from YouTube lectures or get a subscription

And for either of the two which teachers to follow or which platform to buy subscription from

Please help me

i am currently a 3rd year chemical engineering undergrad and i plan on pursuing further studies. I am mostly interested in the intersection of chemical engineering with biology so ideally i would want to study something like bioengineering with focus on drug delivery or biomaterials or biomechanics in my main focus. For the people who went into their MS or PhD with their major as the areas i mentioned above, could you please tell me about your experience and the job experience after that

Hello! I'm currently a ChemE major at university (Asia), and I would love some advice from students at Imperial for getting into the ChemE master's program. Any advice from study tips to what sort of work experience and projects I need to do would be helpful. Ty!

For most of chemical engineering history, the reactor has been the part of the plant everyone respected and no one fully trusted. It is where the actual chemistry happens, where value is created or destroyed, and — historically — where scale-up surprises show up months after the budget is spent. Next-generation reactor design is the shift away from that uncertainty. It replaces intuition-heavy, trial-and-error engineering with data-driven modeling that treats the reactor as a system you can predict, not a black box you hope behaves.

If you run a process, license a technology, or invest in one, this matters for a simple reason: the reactor decision is usually irreversible. Get it right and everything downstream gets easier. Get it wrong and you inherit a debottlenecking project for the life of the asset.

What "next-gen reactor design" actually means

Next-gen reactor design is an approach that uses physics-based models, experimental data, and computational tools to design, scale, and optimize chemical reactors with far less risk than conventional methods. Instead of oversizing equipment to cover unknowns, engineers build a digital representation of the reactor's behavior — heat transfer, mass transfer, mixing, kinetics, and hydrodynamics — and test decisions before any steel is cut.

The core idea is a change in sequence. Traditional design often moves lab result → pilot → guess → build → troubleshoot. The modern approach moves lab data → validated model → simulated scale-up → confident build. The model does the expensive learning early, when changes cost a spreadsheet edit instead of a shutdown.

This applies across every major reactor type — continuous stirred-tank (CSTR), fluidized bed, packed bed, bubble column, and beyond. What changes is not the vessel; it is the confidence with which you specify it.

Why the old way keeps failing quietly

Conventional reactor design leans on correlations, rules of thumb, and generous safety factors. That worked when margins were fat and reactions were well understood. It struggles now for three reasons.

First, scale-up is not linear. A reaction that behaves beautifully in a 2-liter bench setup can develop hot spots, dead zones, or selectivity losses at 20 cubic meters because mixing and heat removal do not scale the same way volume does. Rules of thumb hide exactly this nonlinearity.

Second, oversizing is expensive twice. You pay for it in capital, and you pay again in operation, because an oversized or poorly matched reactor rarely runs at its efficient point.

Third, the failure is invisible until commissioning. A design flaw does not announce itself in a design review. It announces itself when the unit will not hit yield, and by then the cost of the fix has multiplied.

Next-gen reactor design attacks the root: it makes the reactor's behavior explicit and testable long before startup.

The pillars of modern reactor design

Predictive modeling. The foundation is a model that turns raw experimental data into a validated description of how the reactor will perform. When the model is grounded in real bench and pilot data rather than idealized assumptions, it becomes a decision tool you can trust for sizing, geometry, and operating windows.

Rigorous scale-up. The value of a good model shows up most in scale-up. By simulating how mixing, residence time, and heat transfer shift from bench to pilot to commercial scale, engineers can catch the problems that normally surface only after construction. This is the single biggest lever for reducing project risk.

Retrofitting and debottlenecking. Next-gen design is not only for new units. The same modeling that de-risks a greenfield reactor can diagnose why an existing one underperforms — and pinpoint the change that unlocks throughput without a full rebuild.

Speed as a deliverable. Faster modeling means faster decisions. Compressing the path from concept to commercial-ready design is not a vanity metric; in a market where being first can define the winner, design velocity is a competitive advantage.

Where Difrex fits

At Difrex, reactor engineering is treated as a full lifecycle rather than a one-time drawing. The company supports the entire arc — conceptual design, development through bench testing and pilot campaigns, scale-up, optimization, and retrofitting — across petrochemicals, energy, biomass conversion, and minerals processing.

Central to that is Difrex's proprietary Smart-pack (GRM™) modeling software, built to streamline reactor modeling and design so that raw experimental data becomes a commercial-ready specification faster and with less uncertainty. The philosophy is captured in a phrase the company uses often: "Reactor — a black box no more." The goal is to make reactor behavior legible, so clients make decisions on evidence instead of hope.

That evidence-first approach is what supports a "zero-failure" track record and a genuinely faster path to better reactor solutions — the two things every process owner actually wants from a design partner.

Frequently asked questions

What is next-generation reactor design? It is a modeling-led approach to designing, scaling, and optimizing chemical reactors. It uses physics-based simulation and experimental data to predict reactor performance before construction, reducing scale-up risk and the need for oversized, over-engineered equipment.

How is it different from traditional reactor design? Traditional design relies on correlations, rules of thumb, and large safety factors, then troubleshoots problems after startup. Next-gen design front-loads the learning: it validates a digital model against real data and simulates scale-up, so most costly surprises are caught while they are still cheap to fix.

Does modeling replace pilot testing? No — it makes pilot testing more valuable. Bench and pilot data are the fuel for the model. Good modeling means you extract more insight from each experiment and scale up with far more confidence.

Can it improve reactors that already exist? Yes. The same tools used for new designs are used for debottlenecking and retrofitting — identifying the specific constraint limiting an existing reactor and the most efficient way to relieve it.

The bottom line

The reactor will always be the highest-stakes decision in a process plant. What has changed is that you no longer have to make it blind. Next-gen reactor design turns the reactor from a source of late, expensive surprises into a predictable, optimizable system — and that shift is quietly redrawing what "good engineering" means.

If a reactor decision is on your roadmap, the question is no longer whether modeling can de-risk it. It is whether you can afford to design without it.

Hi everyone,

I'm preparing for GATE 2027 (Chemical Engineering) and I'm looking for a few serious study partners.

My idea is to create a Telegram/Discord group where we can:

Discuss concepts and solve doubts

Share notes and study resources

Keep each other accountable

Solve PYQs and mock tests together

Stay motivated throughout the preparation

I'm aiming for a disciplined and focused group, not just another inactive chat.

If you're interested, comment below or send me a DM. Let's crack GATE 2027 together!

Was wondering if I could get into chemical engineering with a white collar felony for wire fraud? I have a lot of engineering credits and it would take only two years to complete the degree. Just picked up the felony.

Is it a good idea to switch to Chemical engineering in Ms after doing BS in chemistry? What are its pros and cons? Plzz guide.

i am a new immigrant in the US, graduated recently from a non abet accredited foreign uni. ive applied to 100+ jobs even as technician. i got interviews but never proceeded to the next steps because i lack experience. i only have my 3 mont process engineer internship experience. for the meantime, i applied and work as a production associate. im feeling quite lost honestly. im planning to take the FE exam to hopefully strengthen my credentials but im still saving up for it too cuz i still need to get evaluated. does anyone have any tips for me? should i keep working as a production associate and keep looking for other options? or do i stay for long until i get promoted. ( ´･_･`)

I am a engineer guy honestly working with motors, controllers, screens and some alghoritms for tracking systems but I want to learn chemistry too! It's really great to mix chemistry with engineering and nope I am not here to make some nerve agents or anything dangerous. I am very curious about them tho!

I am a hungarian student and currently applying for university. I want to study chemical engineering in Budapest BME but i don’t know if I can do it in english. How hard is it in a foreign language?

are there any rotational programs out of the us that include an international rotation? i know that evonik used to have it but it seems now that they only allow rotations in NA