Job Postings! 🧑🤝🧑 Community Evangelist - https://lnkd.in/gkWRWCGk We look for outgoing people with strong technical backgrounds (Scientists/Engineers) seeking to diversify their skills to help us develop a vibrant global community around the software platform for designing and discovering new advanced materials and chemicals. Work will focus on (1) identifying strategic pathways for community growth, (2) preparing the relevant content, including case studies and technical presentations, (3) delivering content and measuring KPI. ☀️ Computational Materials Scientist - https://lnkd.in/gsM6qr6a We look for computational materials scientists excited about bridging the gap between materials/chemistry, data science, and computer science to help us develop a software framework for designing and discovering new advanced materials and chemicals. Work will focus on (1) the application of nanoscale modeling to large sets of materials, surfaces, and reaction pathways with minimal human input, (2) organizing the data produced by the models and experimental validation, (3) establishing artificial intelligence approaches using the data. All open positions are at https://lnkd.in/gnyVwKsZ Let’s make Iron Man’s Digital Materials R&D experience a reality together! Could this be useful to someone you know? If yes, make a repost! 🤝 #materials #RnD #mat3ra #exabyteio #materialsscience #materialsdesign #materialsmodeling #science #technology
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Are you a #researcher? Are you passionate about #science #reproducibility, #transparency and #sharing? 🔊 This #job post could be for you! The Istituto Italiano di Tecnologia is looking for a #DataSteward to join a new team of people dedicated to #ResearchDataManagement and #DataStewardship. ❓ If you want to know more about the #DataSteward profile, take a look at the links below and discover how this and other #OpenScience professions will help create an increasingly reliable and collaborative #science. ➡ Useful links: Research Data Management @IIT: https://lnkd.in/dpfCq3bP RDM Profiles @IIT: https://lnkd.in/dfVy75xN Italian Community of Data Stewards: https://lnkd.in/dKtZhrmd Data Stewards: overview: https://lnkd.in/dT9Cpsg4
We're looking for a talented #DataSteward to join our RDM & Data Stewardship team (under the Research Organization Directorate) and work on the design, development, and application of innovative RDM methods and tools to produce Findable, Accessible, Interoperable, and Reusable (#FAIR) data within IIT. If you are a tech lover 👩💻and possess a PhD degree in a domain relevant for IIT scientific interests, in particular computer science, engineering, physics, chemistry, computational biology, and neuroscience, this might be your chance to join us! Apply here 👉 https://lnkd.in/dWYhwcN5 __ #meetIIT #workinIIT #Recruiting #Hiring #Careers #NewJob #NewOpportunity
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#hiring COMPUTER SCIENTIST - ENGINEER - RESEARCH ENGINEER - Computer Vision, San Antonio, United States, fulltime #jobs #jobseekers #careers #SanAntoniojobs #Texasjobs #ITCommunications Apply: https://lnkd.in/gWRgfirP Who We Are:Our team produces innovative solutions for sensing and understanding the world, transforming reality into digitized reality. By applying novel Machine Learning
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Opportunities abound at Apple One thing to note here, Apple’s hardware chip bandwidth alongside their compute per watt approach combine with their Metal high-performance graphics and compute API to provide near-direct access to the GPU on Apple platforms. This in my view sets the stage for significant future opportunity.
We have several MLE, SWE, and Applied Scientist positions open in both the Bay Area and Seattle. The level ranges from junior, senior, to principal and distinguished engineer, check out. https://lnkd.in/gqctTpzx https://lnkd.in/gRtgaPgC https://lnkd.in/gFthqrMN https://lnkd.in/gJrPx56U
AIML - Machine Learning Engineer (Knowledge Extraction), Siri and Information Intelligence - Careers at Apple
jobs.apple.com
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Computational Science and Engineering (CSE) is a cutting-edge field combining computer science, applied mathematics, and engineering principles to solve complex real-world problems. As a career, CSE offers opportunities in diverse industries like finance, healthcare, energy, and tech, where professionals model systems, optimize processes, and analyze big data. With growing demand for high-performance computing and data-driven solutions, CSE professionals are at the forefront of innovation. This career is ideal for those passionate about problem-solving, coding, and working with advanced simulations and algorithms to address today’s global challenges. It’s a future-proof field with limitless growth potential. #ComputationalScience #EngineeringCareers #DataScience #HighPerformanceComputing #STEMCareers #EngineeringInnovation #BigData #ArtificialIntelligence #MachineLearning #AppliedMathematics #TechCareers #ScientificComputing #ProblemSolving #Optimization #Simulations #DataEngineering #AlgorithmDesign #FutureOfTech #STEMEducation #CareerInTech #CSECareers #ComputationalModeling #DigitalInnovation #AIAndData #EngineeringExcellence
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Some #PhD positions with Prof. Rita Orji, PhD's Persuasive Computing Lab in the Dalhousie Faculty of Computer Science are available! If you're interested in #persuasivetechnology, #machinelearning and fit the other points mentioned, follow the steps below. #cdnpse #highered #computerscience #gradstudies #gradstudent
PhD positions available! We have a few PhD positions available for those who are self-driven and result-oriented, and interested in researching, designing, and developing next generation user-adaptive and personalized persuasive technologies. In addition, potential candidates should have experience working with multiple data modalities, building and deploying machine learning models, and then interacting with the models within real applications they developed (including mobile/VR/AR applications and video games). If you meet the above requirements, please send your CV and transcript to persuasivecomputinglab@gmail.com. Only shortlisted candidates will be contacted.
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There were times during my PhD that I felt isolated. I was not running experiments and was often in the office by myself for days at a time. I did not specialize in a single computational method such as #DFT or #MolecularDynamics and other computational chemists in the department were often too busy to troubleshoot problems I would run into. Despite this perceived isolation, I felt fortunate during my PhD. I learned to model experimental observations. I was a theoretician in laser lab. I learned to dissect spectroscopic signals of multidimensional experiments. I learned to distinguish desired signals from a multitude of interactions, errors, and artifacts that might occur during an optical measurement. I am fortunate for all of this because it gave me the tools I needed to begin my work with Frances Houle at Berkeley Lab. Frances had a new project exploring the #photophysics of a particular design of solar harvesting systems. That is, she wanted to use my expertise to understand how molecules on a semiconductor converted light from the sun to generate electricity or even solar fuels. She gave me the space to imagine how the project should be started. She used the #SocraticMethod to guide my initial thinking and to help me explore the questions we would want to ask, the data needed to ask such questions, and the analysis needed to answer those questions. I did not realize it at the time, but she was teaching me how to start a #datascience project, which is truly just the contemporary #scientificmethod. I did a literature review to really understand the scope of the field and identified that we needed #timeseries data for the changing spectra for a set of compounds. Frances gave me the space to contact the principal investigators that would have the relevant datasets, and I was off. The only major obstacle I had left was that I did not have free access to MATLAB Coding like I did at University of North Carolina at Chapel Hill. Fortunately, I shared an office with Marielle Soniat Pointer who turned me onto #python and mentored me in my first steps as an #independentresearcher and data scientist. With her guidance, I learned to manage the raw data and preprocess it for #visualization and #analysis. Over the course of the project, we published four remarkable peer-reviewed papers and presented posters and talks at both domestic and international conferences. The daily conversations I had with Marielle made me a better communicator and keener data scientist. My weekly meetings with Frances evolved over time from mini-lessons to collegial updates. Brooklyn College #AcademicJourney #CareerTransition #ChemistryPhD #IndustryJobs #PhDLife #ResearchJourney #GraduateSchool #ScienceLife #CareerGrowth #PostdocLife #ResearchLife
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Looking to connect with anyone who works in fields such as AI, ML, software-related things, and electrical engineering :) I'm not just looking forward to having a 1x1 with you to gain insights on what you do, but I want to learn about your story. Why are you working in your field, and what makes you love it? What were your hardships, and lowest moments, and what brought you back up to become the person you are today? What were some key highlights? I want to learn and listen to your story! If interested, reply with a comment or DM! Besides that, I hope everyone reading this has a fantastic day.
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Opportunity
I am seeking highly motivated Ph.D. students to join my research group in Fall 2025 with full funding support. Ideal candidates should possess a strong background in AI/ML, optimization, stochastic processes, and a passion for addressing practical challenges in next-generation networking, including quantum networking, security, and human brain-interface systems. Working independently and collaboratively within a multidisciplinary research team is essential. Eligibility Criteria: A Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field is preferred. Exceptional candidates with a Bachelor’s degree and demonstrated research potential will also be considered. Proven experience in AI/ML, optimization techniques, or stochastic processes, supported by prior publications in reputable journals or conferences. A strong interest in next-generation networking topics, such as 6G wireless systems, quantum networking, or human brain-interface technologies. Proficiency in programming languages such as Python, MATLAB, or C++ is required. If you are interested, you can email me (in PDF) your CV, transcripts, and published papers at shakil@iastate.edu Please visit at https://lnkd.in/giPcqP3Z for details
Opening
https://www.ece.iastate.edu/shakil
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PhD advisor search advice: Ask students/postdocs/... to describe the PROCESS of getting a specific project done. How often did you meet? What kind of feedback did you get? Most helpful? You're more likely to get intel this way than if you ask if they "recommend him/her/them".
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