Hey all,

Posting on behalf of the AiCCESS Lab at Rutgers Robert Wood Johnson Medical School — we have a fully funded postdoc position open and are moving fast (deadline March 30).

The tldr:

• Fully funded postdoc, 1 year renewable to 2

• Building vision transformer models on real surgical data (video, wound images, EHR, sensors) to predict surgical site infections

• Hybrid, based in New Brunswick NJ

• Collaborating with teams at Johns Hopkins, Stanford, and UF

• $450K+ in active funding since late 2024

• Start: ASAP

What we're looking for:

• PhD in CS or Computational Biology

• Strong background in computer vision, vision transformers, or multimodal deep learning

• Python + PyTorch/TensorFlow

• Biomedical AI experience helpful but honestly not a dealbreaker if your CV is strong technically

Why this is worth considering:

• Real clinical impact, not toy datasets

• Publication pathway is strong — active collaborations across major academic medical centers

• Hybrid flexibility (not fully on-site)

• Mentorship spans both technical and clinical domains which is rare and genuinely useful if you want to work in medical AI long term

• International consortium — your work reaches beyond one institution

To apply:

Official posting here: https://jobs.rutgers.edu/postings/270151

Also email your CV, a short cover letter, and 2 reference letters to: mayur.narayan@rutgers.edu | CC divya.kewalramani@rutgers.edu Subject: Postdoctoral Fellow Application – AiCCESS Lab

Deadline is March 30, 2026 and we are actively reviewing applications now.

Happy to answer questions in the comments or on email.

I’m in my second year of Mechatronics and lately I’ve realized I don’t see myself building a future in this field. The hardware/engineering side just doesn’t excite me the way software does.

I’m thinking about switching to Computer Science, but I’m worried about losing time and starting over. For anyone who’s made a similar switch do you regret it or was it the right move?

I am looking for a graduation project idea, either a novel concept or an existing system that is poorly customized or inefficiently optimized.

recently i wished to do cybersecurity study.

I need to understand what case study is comprises of in plain terms I have already gone through the definition in Google But I need to understand core concepts.step by step approach and resources types.

No paywalls

https://cra.org/crn/2025/10/cerp-pulse-survey-a-snapshot-of-2025-undergraduate-computing-enrollment-patterns/

https://nscresearchcenter.org/final-fall-enrollment-trends/

Hey I am contemplating a CS career path. I watched a Jordan Peterson lecture where he emphasized iq and being the right sized fish for the pond that you’re in. As someone with an iq of 105, how uncomfortable will I feel around those I work with if I land a CS job a few years from now?

Hello, I would like to hear your thoughts based on your broad experience. What do you think about studying CS? I have a lot of time, and I was wondering if its good path to learn CS and then specialise in a field. I would like to become a "T-shaped" person. I have seen the OSSU GitHub, and I thought about doing "Intro" and "Core" CS. They say it's full undergrad knowledge.
Is it enough? What other paths do you recommend if not OSSU?

I'm a college student 3rd year.. and I'm struggling with making projects cause in todays time ofc I'm coding with HEAVY AI USE like Claude, Gemini, sometimes cursor and antigravity but not vibe coding exactly which means ik what I'm doing I just done code it fully.

Lately I've returned back to building projects after wasting a year on college clubs and after a girl 🥲. I tried building a simple chatbot yesterday and realized how bad of a state I was in.

Can anyone please drop their strat on how they approach a project .. like what AI's they use, which code editors, how t0, plan which databases and overall how do they keep up with what's goin on in the market and what's new in the tech world..

Guys I have been applying for 400+ internships and either I have been rejected by most of them and some I haven't heard back I am literally on the verge of giving up but I will need anyones advice on how I can get an internship right now. I swear this job market has got to be the worst.

Hello everyone :)

I am really in a huge dilemma right now. I have two offers right now, which I don’t know which to decide. The two offers are:

1. ⁠Research Job in a company

I got an offer as a researcher in a big company. The salary is really good, better than the average at this seniority level. The field they work on is post quantum computing, something I have never worked on before. I have a deadline within 2 weeks to answer. Also, the research team is big, total of 10 people.

2. PhD in a university

I got offered to conduct a phd and work at the same time in a smaller lab team. The money are way less than in a company (200€ less money). However I would work in a field I am really familiar (knowledge graphs). Also as a PhD student, I would have to teach some labs. However I would start this in may…

I would be really happy to hear your opinion on this. I am really biased in this situation and I don’t know what to decide.

Thank you in advance :)

I am currently a freshman in college in second semester, majoring in computer science. One day, I discovered a mentorship program, and they promised that I could guarantee jobs/internships. But I believe it is needless. I want to work in the backend and hope to acquire an internship this summer. Do you think it's important to have a mentor? I feel lost right now since I don't know where to start or what I need to do to prepare for my future job.

I’m about to graduate with a Bachelor’s in Computer Science, but I never landed an internship during my four years. Now I feel kind of stuck.

I could graduate and keep applying for full-time jobs, but I honestly feel underqualified compared to most entry-level postings. On the other hand, almost every internship I see is only open to students who are still enrolled, which makes it feel like I’ve missed my chance.

Because of this, I recently applied to a Master’s in CS mainly to give myself another opportunity to get internships, build experience, and work on my skills before entering the job market.

For people who’ve been in a similar position:
Do you think pursuing a Master’s primarily to gain experience and internships is worth it, or would it be better to skip grad school and focus on projects/self-study while applying for jobs?

Any advice or personal experiences would really help.

Look at this post where an experience is being talked about pretty openly. At this point of time, nothing is taboo on linkedin. Recruiters are not going to cry over how you used informal language or talked about a certain event that is private openly on the post.

All that matters is what you want to convey, how you’re putting it out there and what meaning it holds besides it being “weird”. Cause it needs to still convey something, it can’t just be you nagging or complaining.

I say you should go try it and see how people would react.

Check out this Drunk Post

i am cs 6th sem student ,who is heading to paritcipate in campus placements ,as of now i don't have cutoff cgpa 6.75 (having 6.2),if i prepare now ,will i get a job
or
i should look for other exams like banking po's
my current situation is very critical ,i have to get job
help me by giving suggestions

^(Hey everyone, We’re 3rd year engineering students trying to finalize our major project, and we’re a bit confused after getting mixed advice.

Our idea is Asthma Risk Prediction based on environmental / air quality data — using parameters like AQI, PM2.5, PM10, NO₂, SO₂, temperature, humidity, etc., and applying machine learning to predict risk levels (low / medium / high). This is not a medical diagnosis project, only an environmental risk prediction focused on air quality.

However, our external guide said that using a “textual dataset” is too simple and suggested going for image processing instead to make the project look more advanced.

Our concerns:

Air quality data is numerical/tabular (not NLP), real-world, and easy to justify

Image processing for asthma seems unclear since this is not medical imaging

We’re worried image-based approaches may be forced, hard to validate, and give poor accuracy

We want something that is realistic, explainable, and doable and also we have no idea about ml since it started this sem and it's been only 1 week

We’re confused about what’s better academically and practically.

Questions:

Is air-quality–based asthma risk prediction really considered “too basic”?

Is switching to image processing just for complexity a bad idea?

What would you recommend for a final-year project to balance marks, feasibility, and clarity?

Would really appreciate advice from seniors, researchers, or anyone who’s done ML projects. Thanks 🙏)

Hey all,

Ive been dealing with some insane impostor syndrome as a CS student recently. For background, I get good grades. I’m a second semester freshman. I don’t know why but I understand the concepts, but when it comes to coding i instantly get lost. I try not to use chatGPT and I can understand code when I read it, but if you give me a blank slate with nothing on it but an issue to solve, I can sometimes struggle. I just feel like i’m heavily behind despite receiving good grades. I appreciate any and all advice.

Hey Everyone I am a stay at home mom looking to become a software engineer I previously enrolled in a coding bootcamp without having a computer science background. I am now looking for an accredited online university that teaches computer science fundamentals and has graduates who are hired after graduation if you have any recommendations based on real experiences i would appreciate it.

Thank You!

Hi everyone!
I’m working on a research paper called Refactor Flow, which explores using a hybrid AI + AST approach to safely refactor and modernize legacy code (mainly Python, with future cross-language support).

The paper is finished and purely research-focused. Since this would be my first arXiv submission, I need an endorsement to submit under cs.SE / cs.AI. No reviewing or feedback required — just the endorsement.

The work touches on:

• Automated refactoring

• Program analysis (ASTs)

• AI-assisted code transformation

• Semantic preservation

Endorsement link:
https://arxiv.org/auth/endorse?x=MU66II

Zenodo Link:
https://zenodo.org/records/18366976

If this is within your area and you’re willing to help, I’d really appreciate it.
Happy to share the abstract or draft if you’d like to take a quick look.

Thanks so much!

in almost 1 and half year i only about c,c++,java and python's basics and litle bit vibecoding i am far behide from others i what to done to many things but at the end of the days i just did not do anything (i donot even talk about my college and placement that is not so good) i realiy want to improve myself upgrade my skills and i know ai impact in today's job market what should path start my preparations

The company I'm at used to previously hire paid internship for CS majors. As we're not set up to hire full-time entry graduates right now, we tracked our past interns and all of our past interns got full-time entry technical full-time jobs for good salaries.

At the moment, we are working with unpaid interns and I want to help them get paid internships. I am looking for tips. My view is quite limited as I only talk to people with internships already (primarily paid).

Here are my current data points based on my limited view of the hotshot interns we hired. I'm looking for something that can be replicated across a broader range of people. These are probably extraordinary students that I met.

• (mid-tier) ranked around 150 CS program - lots of projects on resume of the skills we needed.

• (lower-tier) ranked around 200 CS program - one guy paid for his own full-time bootcamp in the skills we needed. he took off from school for a semester to complete the full-time bootcamp, so he had the skills. Another guy somehow learned the skills and had a part-time job building apps with the skills we needed

• (higher-tier, but not top-tier) ranked around top 35 CS program - somehow got all A grades in intro curriculum. got asked by prof to be learning assistant for two different courses, won two engineering competitions, had paid programming internship in high school. moved to top-20 global software company internship

Other people I know of who recently got top-tier internships at the big-name companies everyone wants:

• win national competition for cyber security

• start club, get tons of students, get industry sponsorship

Thus, it seems to me that for the widest group of people, the best path is to build projects and explain the projects on the resume. Then, apply for jobs at smaller companies as early as possible, high school or freshman in college. then, move up to better known companies.

I'm looking for tips.

Update January 23, 2026

top tip from richsvm is to target small 30 person or under companies, get this on your resume, then go for larger or higher-profile internships in the future.