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Internship

Join OptimCyb Research Group for an Exciting Internship Experience!

Are you passionate about interdisciplinary research that bridges chemistry, engineering, artificial intelligence, and signal processing? At OptimCyb, we are at the forefront of cutting-edge research, combining chemical engineering, AI, machine learning, and mathematical modeling to solve real-world problems.

We invite international students to be part of our dynamic and innovative team at the University of Chemistry and Technology, Prague. Our internship program offers hands-on experience in a world-class research environment, working on groundbreaking projects in areas such as:

  • Biomedical signal processing
  • Mathematical modeling of complex systems
  • AI-driven chemical process optimization
  • Data analysis and machine learning applications

What We Offer:

  • Mentorship by experienced researchers and professors.
  • Access to state-of-the-art laboratories and resources.
  • Collaborative, multicultural environment in the heart of Europe.
  • Opportunities to publish your research and attend international conferences.
  • Experience the vibrant city of Prague, rich in culture, history, and student life.

Who Can Apply?

We welcome students from diverse academic backgrounds, including:

  • Chemical engineering
  • Biotechnology
  • Computer science and AI
  • Mathematics and physics

This internship is a perfect opportunity for students seeking to expand their research skills, work on real-world challenges, and make valuable professional connections in the scientific community.

Undergraduates

Why is it important to choose your thesis topic early?

Choosing your bachelor’s thesis topic early can make a huge difference in your academic journey. Here’s why:

  1. More creativity – Starting early gives you time to explore different fields and find a topic that truly interests you, keeping you motivated.
  2. Linking to internships – An early decision allows you to connect your thesis with hands-on experiences from labs or internships, making your work more practical and valuable.
  3. Better time management – With more time, you can plan efficiently, consult with supervisors, and avoid last-minute stress.
  4. Join real research – Early choice secures your spot in exciting research projects, often collaborating with leading experts.

Overview of Bachelor’s and Master’s Theses

Our research group, OptimCyb at the University of Chemistry and Technology in Prague, provides students with opportunities to work on cutting-edge interdisciplinary projects. Our students tackle contemporary challenges at the intersection of chemical engineering, artificial intelligence, signal processing, and mathematical modeling.

Below is a sample of Bachelor’s and Master’s thesis topics addressed within our group:

Bachelor’s Theses

  • Optimization of Chemical Processes Using Machine Learning
    • The goal of this thesis is to develop predictive models for optimizing manufacturing processes in the pharmaceutical industry using machine learning algorithms.
  • Analysis of Biological Signals Using Advanced Data Processing Techniques
    • This work focuses on applying modern signal analysis methods in medicine, including pattern recognition in biological data.
  • Modeling Mass and Energy Transfer in Bioreactors
    • This project involves mathematical modeling of processes in bioreactors to improve the efficiency of industrial bio-pharmaceutical production.

Master’s Theses

  • Development of Predictive Models for Personalized Medicine
    • The thesis focuses on creating models that predict treatment effectiveness for individual patients based on their genetic and biological data.
  • Machine Learning for Quality Control in Chemical Engineering
    • This project deals with the development of machine learning systems that automate quality control processes in chemical industry manufacturing plants.
  • Simulation of Dynamic Systems in Chemical Processes
    • This thesis is dedicated to advanced simulations of dynamic systems in chemical engineering to optimize operational parameters.

Researchers

Join OptimCyb: Where Innovation Meets Impact

Are you a researcher looking to make a real difference? At OptimCyb, we’re pushing the boundaries of interdisciplinary science, combining the best of chemical engineering, artificial intelligence, signal processing, and mathematical modeling to solve some of today’s most pressing challenges.

We offer:

  • Cutting-edge projects that bridge the gap between theory and real-world application.
  • A dynamic and collaborative research environment where ideas flourish.
  • Access to advanced technology and state-of-the-art labs, providing the tools you need to pioneer innovative solutions.
  • Opportunities for international collaboration and impactful industry partnerships.

Our Focus Areas

  • AI-Driven Optimization of Industrial Processes
    Revolutionizing industries by applying AI to enhance efficiency, sustainability, and innovation in production systems.
  • Biomedical Signal Processing
    Developing advanced methods to analyze complex biological data, driving progress in personalized medicine and healthcare technologies.
  • Mathematical and Computational Modeling
    Building robust models that simulate and predict the behavior of chemical and biological systems, offering new insights and practical solutions.

At OptimCyb, we’re not just doing research—we’re shaping the future. Whether you’re interested in collaborative projects, funding opportunities, or leading innovative studies, OptimCyb is the perfect place to advance your career and make a tangible impact.

Let’s work together to create tomorrow’s breakthroughs today.

Graduates

Why Join Us for Your PhD?

Are you passionate about solving real-world challenges with cutting-edge technology? Do you want to be part of groundbreaking research at the intersection of chemical engineering, artificial intelligence, and signal processing? At OptimCyb, we offer you a chance to shape the future by tackling complex problems that matter.

As a PhD student in our group, you’ll:

  • Work on innovative research projects that push the boundaries of interdisciplinary science.
  • Be supported by world-class experts who are leaders in their fields.
  • Gain access to state-of-the-art facilities and advanced computational tools to bring your ideas to life.
  • Join a vibrant community of collaborative researchers working on impactful solutions for the industry and healthcare.

Research Topics You Could Explore

Here are some of the exciting areas we’ve already tackled and continue to develop:

  • Advanced Machine Learning for Process Optimization
    • Using AI to revolutionize industrial production by enhancing process efficiency and reducing waste.
  • AI-Driven Analysis of Biomedical Signals
    • Harnessing machine learning to uncover patterns in complex medical data, paving the way for early diagnosis and personalized treatments.
  • Mathematical Modeling of Complex Chemical Systems
    • Developing robust models that simulate chemical reactions, mass transfer, and energy flows, optimizing everything from reactors to biotechnological applications.
  • Predictive Models in Personalized Medicine
    • Creating AI models to predict patient responses to treatments, leading to tailored therapies and better outcomes.
  • Dynamic System Simulation for Chemical Engineering
    • Performing simulations of chemical processes to optimize production, reduce costs, and improve sustainability.

If you’re looking for a PhD program where interdisciplinary innovation meets real-world impact, OptimCyb is the place for you. Join us and contribute to research that makes a difference!

Publications

Explore the latest research papers, articles, and findings from the OptimCyb group. Our interdisciplinary work covers chemical engineering, artificial intelligence, signal processing, and mathematical modelling. Stay updated on our contributions to the scientific community and discover how our research drives innovation and advances in technology:

Online analysis

  • Analysis for evaluating rehabilitation progress
  • Analysis of Raman spectra for diagnosis of Alzheimer disease

Modeling

  • Modeling and control of selected nonlinear systems
  • Modeling of equilibrium constants
  • Modeling of graphene-oxide membrane
  • Novelty detection

Biomedical data analysis

  • CT image analysis for precise surgery and oncology
  • 3D modelling of hip joints for orthopedic surgery
  • Preprocessing Images for Virtual Reality

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