UMD Center for Risk and Reliability’s Post

Best Career Option After 12th Pass In Science Stream: This is the best career option after passing 12th from science stream

Since most PhDs do not end up in academia (shocking, I know!), it is so important to discuss opportunities in industry. I especially like how the first fact this article addresses is the idea that only failed academics end up in industry. Staying in academia is the exception, not the rule, and yet we spend so little time talking about and training for what will be the more likely career path. #phdcareers #industrycareers

Hello Everyone! I would like some academia advice. Simply put, It’s been a while since I graduated with my master’s in 2019, and I’ve been focused on gaining professional experience since then. Now, I’m looking to pursue a PhD in Software Engineering and really would like some advice. When I went for my master's degree, I did it without a thesis. I am not sure if this will harm my application for a PhD. I have been in the field for a while and hopefully it is soon time for me to jump into my dream and start going for a PhD! - What are some of the things that you believe I can focus on to make myself a good candidate? - Are there any resources you'd have me look at? - What skills should I look at obtaining? - Anything else I am not thinking of? Feel free to ask me any questions. This is for my dream so, I am all in!

Are you in the middle of your career busily working on your life-long quest, but at the same time unsatisfied with your research impact? You are not alone. Examining over 100k scientists' careers revealed successive hits are least likely in the mid-career, starting from 7 years after your first publication. The phenomenon is comparable to a single big hit, known to be randomly distributed throughout the career. Also, it turned out that successive works of moderate success occur evenly likely. This means that although you can always expect the biggest hit in your life to be the next paper you write, something hinders the success streak from extending during your mid-career. The research also shows consistent transitions of teaming topology between the early and late careers.  https://lnkd.in/gkF5Scx3

Optimising Drug Target Prediction Task Scheduling in Heterogeneous Multicore Processor 🎉 I’m incredibly excited to announce the completion of my internship with Roke Manor, a transformative experience as part of my MSc programme. I owe my deepest gratitude to my academic supervisor, #DrVesnaPersic from the #UniversityOfSouthampton, my industrial supervisor at #RokeManor, #LaylaGordon, and the ever-supportive #DrPradeepKumarSharma, research fellow at the university. Their unwavering guidance, expertise, and encouragement were key to the success of this journey. 💡 This project focused on advancing the healthcare sector, particularly the drug discovery process🧬, by enhancing the computational efficiency of systems through scheduling various stages of drug-target prediction tasks across the cores. My main objectives were to: ⏱  Minimise makespan to boost performance 🌱 Reduce energy consumption for sustainability ⚖️ Balance workloads across multicore processors 💻 In my work, I delved into the world of task scheduling for drug-target prediction using multicore processors. Leveraging the #NonDominatedSortingGeneticAlgorithmII (NSGA-II), along with an #EmbeddedStackMachineLearning model and a #LocalSearch method, I worked to optimise schedules at every level. The project’s core objective was to minimise makespan, enhancing system performance while also reducing energy consumption to bolster sustainability by lowering heat generation. To achieve this, I implemented Dynamic Voltage Frequency Scaling (DVFS) and thermal management techniques, balancing workloads across 14 heterogeneous cores with precision and care. I leveraged #NumPy, #Pandas, and #ScikitLearn for efficient data processing, boosting overall performance by implementing an ensemble machine learning model. ✨ A highlight was achieving 98% accuracy with the embedded machine learning model, which dynamically predicted fitness values, guiding the local search to find optimal solutions. The synergy between NSGA-II and machine learning allowed to fine-tune task schedules, significantly reducing makespan, cutting energy usage, and ensuring balanced loads across cores—resulting in an impressive combination of sustainability and performance. 🔧This experience has provided me with a solid foundation in system optimisation and building machine learning algorithms for predictive analysis. I’ve sharpened my ability to tackle large datasets, uncover actionable insights, and present complex ideas to both technical and non-technical audiences. I also gained valuable experience in documenting proposals and solutions. The skills and knowledge I’ve gained through this project leave me excited to embrace future challenges. 🚀 I’m excited to apply these skills in future opportunities where I can contribute to impactful solutions and drive innovation. #DataScience #DrugDiscovery #MachineLearning #SystemOptimization #Sustainability #TechInnovation

So, let me walk you through how I approached one of the most grueling tasks in the #PhD #application process—shortlisting schools. The rule? 𝐅𝐢𝐧𝐝 𝐭𝐡𝐫𝐞𝐞 𝐥𝐚𝐛𝐬 𝐈 𝐥𝐢𝐤𝐞 𝐚𝐭 𝐨𝐧𝐞 𝐬𝐜𝐡𝐨𝐨𝐥, 𝐚𝐧𝐝 𝐁𝐎𝐎𝐌—𝐈’𝐦 𝐚𝐩𝐩𝐥𝐲𝐢𝐧𝐠. Sounds simple, right? Well, plot twist: it was actually harder than trying to understand quantum mechanics after two cups of coffee. In general, people will tell you to apply to 8-10 schools. I went for 10, because I’m an overachiever who enjoys making things harder for myself. 🤓 But seriously, here’s what went down: 𝐒𝐭𝐞𝐩 1: 𝐒𝐭𝐚𝐫𝐭 𝐖𝐢𝐭𝐡 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐊𝐧𝐨𝐰 (𝐚𝐤𝐚 𝐨𝐩𝐞𝐧𝐢𝐧𝐠 𝐚 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 𝐭𝐚𝐛𝐬)   We all start with the same handful of #labs we know, because, let’s be honest, those are the ones closest to us—#mentally and geographically. From there, I clicked on their #collaborators, went down rabbit holes of research #papers, and suddenly had more tabs open than a hacker in a spy movie. But hey, it’s a great way to learn about the field and yourself (hello, personal #growth). 𝐒𝐭𝐞𝐩 2: 𝐒𝐭𝐚𝐥𝐤 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫𝐬 𝐋𝐢𝐤𝐞 𝐈𝐭’𝐬 𝐘𝐨𝐮𝐫 𝐉𝐨𝐛   Next thing you know, you’re deep in the academic web of intrigue, reading profiles, scanning #CVs, and trying to figure out whether Professor Smith is a good #mentor or just really good at writing papers. Are there any women in the lab? Do students seem to enjoy 𝐛𝐞𝐢𝐧𝐠 there, or are they subtly crying out for help in their papers' #acknowledgments? The detective work is real. 𝐒𝐭𝐞𝐩 3: 𝐀𝐬𝐤 𝐀𝐫𝐨𝐮𝐧𝐝—𝐁𝐮𝐭 𝐃𝐨 𝐈𝐭 𝐂𝐚𝐫𝐞𝐟𝐮𝐥𝐥𝐲  Pro tip: Ask the people around you what they think about the professors you’re interested in. #Grad students know the inside scoop. Just be cautious: it’s like asking if pineapple belongs on pizza; people have strong opinions! And then comes the real fun part... 𝐒𝐭𝐞𝐩 4: 𝐓𝐡𝐞 𝐃𝐫𝐞𝐚𝐝𝐞𝐝 𝐄𝐦𝐚𝐢𝐥𝐬 Ah yes, the most important part of the process that isn’t even part of your official application: 𝐄𝐦𝐚𝐢𝐥𝐢𝐧𝐠 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫𝐬, Think of it as writing a mini-statement of purpose—super mini. You ask if they’re taking students, tell them how much you love their work, sprinkle in your #background, and then end with a classy “thank you for your time” (while secretly praying they reply). 💡 Here’s the kicker: these #emails MATTER. If they like you, they’ll push your application through like a VIP pass. No pressure though, right? So, after a lot of reading, stalking (I mean, researching), and writing emails, I narrowed down my 10 schools. It was a lot of work, but if you’re organized and keep your sanity intact (mostly), you’ll get through it. Happy #PhD hunting! 🕵️♀️🎓 Follow Bivas Nag for more such insider tips from an #international student at #UCSF (Pic: At the top of the city) #PhDApplications #GradSchoolHacks #SurvivingAcademia #ResearchLife #EmailNinja #AcademiaWithHumor

The Erdős Institute May-Summer 2024 Cohort application deadline is 3 weeks away! The Erdős Institute is a multi-university collaboration that helps PhDs get rewarding jobs in industry and off-loads non-academic professional development mentorship from graduate school programs. Erdős provides fully remote training (e.g. data science and deep learning boot camps, mini-courses and study groups in topics such as data visualization, quantum computing, software engineering for data scientists, etc.) taught by former academics for current academics, career exploration seminars, one-on-one career coaching, behavioral and technical interview preparation workshops, employer and Erdős alumni career connections, and job postings. Participation is free for graduate students and academics affiliated with our academic member institutions. Tuition otherwise costs $500/individual. Graduate students and PhDs may create their account and apply here by Friday, April 12, 2024!: https://lnkd.in/gCkzpKtN. We strongly encourage applicants from non-member institutions to reach out to their advisor/postdoc mentor, department, college, graduate school, and/or university for funding support. Departments often have professional development, conference, or travel funds that they are willing to use for this purpose. We also write letters of support for faculty who wish to write Erdős professional development support into their grant applications. For any questions, please reach out to Head of Academic Memberships, Amalya Lehmann, at [email protected]. #academiatoindustry #datascience #python #datavisualization #quantumcomputing #deeplearning #softwareengineering #datasciencetraining #industry #bootcamp #careerdevelopment #professionaledevelopment #careercoaching #careerconnections #interviewprep #interviewcoaching #technicalinterviews #technicalinterviewprep #behavioralinterviews #mentorship #phds #phdcareers #phdlife #trainingprograms #nsfgrants

Postdoc Research in Software Engineering: https://lnkd.in/gqrNPm7F #Owlindex #postdoc #postdoctoral #Postdocjobs #Research #SoftwareEngineer #SoftwareEngineering #Software #Engineering

Are you considering advancing your education with a Master of Science degree? This article gives an in-depth analysis of the return on investment (ROI) for this advanced degree, its potential impact on your career trajectory, and the achievement of long-term career goals. #LikeAHusky #COSConnects Read more: https://lnkd.in/e-TUm6FX