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PhD Computer Science in Uppsala University - Sweden

Uppsala University - Sweden

About Uppsala University

  Uppsala University is one of the oldest universities in Sweden and was founded in 1477. Uppsala University is a top research university and is ranked among the top 100 universities worldwide.
  Uppsala university is renowned for its research in a variety of fields, such as
the humanities, natural sciences, engineering, and medicine. Uppsala University has a long history of research excellence, and its present research areas include astronomy, geology, and physics.
  Uppsala University has a robust concentration on engineering and technology, with research in nanotechnology, software engineering, and mechatronics fields. Uppsala University is the hub of various world-class research centers, including the Centre for Advanced Materials and Digital Humanities.

Address & Website of Uppsala University

Address:  752 36 Uppsala, Sweden

Phone:  +46 18 471 00 00



University Type:  Public university

Computer Science Courses Offered by Uppsala University

Undergraduate Courses:

  • Computer Science
  • Computer Science and Engineering Computer Science and Information Technology
  • Computer Science and Mathematics
  • Computer Science and Software Engineering
  • Graduate Courses:
  • Computer Science
  • Computer Science and Engineering
  • Computer Science and Information Technology
  • Computer Science and Mathematics
  • Computer Science and Software Engineering
  • Artificial Intelligence
  • Data Science
  • Machine Learning
  • Software Engineering
  • Ph.D. Courses:
  • Computer Science
  • Artificial Intelligence
  • Data Science
  • Machine Learning
  • Software Engineering
  • Computer Vision
  • Human-Computer Interaction
  • Natural Language Processing
  • Robotics
  • Web Science

  • Computer Science Research Areas - Uppsala University


    Uppsala University-s Computer Science Research is renowned for its cutting-edge research and world-class faculty.
     •  Image Analysis
     •  Optimization
     •  Computer System
     •  Parallel and Distributed Computing
     •  Computing Education Research
     •  Control and Dynamical Systems
     •  Programming Languages and Systems
     •  Semantics and Verification
     •  Cybersecurity
     •  Artificial Intelligence
     •  Computational Science
     •  Human-Machine Interaction
     •  Data Science
     •  Embedded and real-time systems

    Research Topics in Computer Science Research - Uppsala University

    Image Analysis;
     •  Image reconstruction and de-noising
     •  Image registration
     •  Digital geometry
     •  Object detection
     •  Image understanding
     •  Visualization
     •  End-to-end image analysis

    Computer System;
     •  Battery-free Internet of Things
     •  Secure Emerging Internet of Things applications
     •  Power-efficient Memory Systems
     •  Power-efficient Processor Architectures
     •  Secure Computer Architectures

     •  Constraint programming (CP)
     •  Local search (LS)
     •  Mathematical optimization (MP)
     •  Propositional satisfiability (SAT) and SAT modulo theories (SMT)
     •  Surrogate-based optimization and Bayesian optimization (SBO)

    Parallel and Distributed Computing;
     •  High-performance computing (HPC)
     •  Distributed computing infrastructures (DCI)
     •  Task-based programming for large-scale scientific software (TPSS)
     •  Efficient implementations of numerical methods for distributed computing (NDC)

    Computing Education Research;
     •  Holistic perspectives on computing education
     •  Teaching and learning computing in K-12 and higher education
     •  Theories and methods in computing education research

    Control and dynamical systems;
     •  Mathematical modeling of dynamical systems
     •  System identification
     •  Safety and security in control systems
     •  State estimation
     •  Dynamical networks
     •  Biomedical systems
     •  Environmental systems

    Programming Languages and Systems;
     •  Formal semantics (FS)
     •  Model checking (MC)
     •  Programming language design (PL)
     •  Probabilistic programming (PP)
     •  Program synthesis (PS)
     •  Program verification (PV)
     •  Runtime systems (RS)
     •  Constraint programming (CP)
     •  Constraint-based local search (CBLS)

     •  Cybersecurity and formal verification
     •  Anomaly detection
     •  Security in the Internet-of-Things
     •  Cybersecurity and Privacy in Learning and Control
     •  Privacy-Preserving Federated Machine Learning
     •  Secure Computer Architecture
     •  Online Information Disorder

    Semantics and Verification;
     •  Concurrency
     •  Formal methods methodology
     •  Process calculi
     •  Program verification
     •  Semantics
     •  Testing
     •  Theorem proving
     •  Weak memory models
     •  Industrial applications

    Artificial Intelligence;
     •  Approximate inference (ApI)
     •  Causal learning (CL)
     •  Constraint programming (CP)
     •  Explainable Artificial Intelligence (XAI)
     •  Knowledge representation & reasoning (KR)
     •  Large-scale optimization in learning (LO)
     •  Local search (LS)
     •  Machine learning (ML)
     •  Pattern recognition (PR)
     •  Propositional satisfiability (SAT) and SAT modulo theories (SMT)
     •  Probabilistic modelling (PM)
     •  Reinforcement learning (RL)
     •  Social robotics (SR)

    Computational Science;
     •  Computational Science and Engineering (CSE)
     •  Numerical analysis (NA)
     •  Optimization
     •  Machine learning and Bayesian statistics
     •  Computational Biology

    Human-Machine Interaction;
     •  Social robotics (SR)
     •  Workplace technology (WT)
     •  Technology ethics (TE)
     •  Sustainability (S)

    Embedded and real-time systems;
     •  Modeling and Verification (MV)
     •  Real-Time Scheduling (RTS)
     •  Multiprocessor Real-Time Systems (MRTS)
     •  Embedded Software Update (SU)
     •  Design Tools for Embedded Software (DT)

    Data Science;
     •  Databases (DB)
     •  Distributed computing infrastructures (DCI
     •  Data Mining (DM)
     •  Federated Machine learning (FML)
     •  Network Science (NS) and Social Network Analysis (SNA)
     •  Social Data Science (SDS)

    Computer Science Research Labs with Specialization - Uppsala University

     •  Integrative Scalable Computing Laboratory
     •  Centre for Image Analysis
     •  Algorithmic Program Verification group
     •  Model Learning Group
     •  Optimization research group
     •  Programming Language research group
     •  InfoLab – Uppsala University Information Laboratory
     •  UDBL – Uppsala Database Laboratory
     •  eSSENCE – an e-Science inter-university collaboration
     •  NORDIS – Nordic Observatory for Digital Media and Information Disorder
     •  Optimization research group
     •  Uppsala University Information Laboratory (InfoLab)
     •  Uppsala Social Robotics Lab
     •  Digital Ecologies Lab
     •  Ethics group
     •  The research group on Radial Basis Function Approximation for Partial Differential Equations (NA and CSE)
     •  The research group on Computational Genomics (CSE)
     •  Uppsala University Artificial Intelligence Lab
     •  Uppsala University Human-Centered Computing Lab
     •  Uppsala University Autonomous Systems Lab
     •  Uppsala University Distributed Systems Lab
     •  Uppsala University Computer Graphics Lab
     •  Uppsala University Computer Science Education Lab
     •  Uppsala University Computational Science and Engineering Lab
     •  Uppsala University Cyber Security Lab
     •  Uppsala University Software Engineering Lab
     •  Uppsala University Software Technology Lab
     •  Uppsala University Computer Vision Lab
     •  Uppsala University Data Science Lab
     •  Uppsala University Center for High Performance Computing
     •  Uppsala University Center for Interaction Design
     •  Uppsala University Center for Language Technology

    Scholarship Programs and Funded Projects for Computer Science - Uppsala University

     •  Graduate School in Science and Technology (GST) Scholarship
     •  Uppsala Doctoral Scholarship
     •  Graduate School of Science and Technology (GST) International Scholarships
     •  Computer Science Departmental Scholarships
     •  Faculty of Science and Technology Doctoral Scholarships
     •  Graduate School of Science and Technology (GST) Visiting Scholarships
     •  Graduate School of Science and Technology (GST) Research Scholarships
     •  Uppsala University Postdoctoral Fellowships
     •  Uppsala University Postdoctoral Research Grants
     •  Uppsala University Research Grants
     •  Uppsala University Research Fellowships
     •  Swedish Government Scholarships for Foreign Students
     •  Swedish Institute Scholarships for International Students
     •  Erling-Persson Scholarships
     •  Nordic Master Scholarships
     •  Fulbright Scholarships
     •  The Swedish Institute Visby Program

    Funded projects in computer science at Uppsala University - Sweden

     •  Autonomous Vehicle Control System for Safe Mobility
     •  Artificial Intelligence for Personalized Diagnostics
     •  Real-Time Machine Learning for High-Speed Networks
     •  Automated Language Processing for Social Media Analysis
     •  Cyber Security for Cloud Computing
     •  Autonomous Agents for Smart Home Automation
     •  Augmented Reality for Enhanced User Experience
     •  Autonomous Systems for Autonomous Drone Delivery

    PhD Admission Procedure for Computer Science -Uppsala University

    Ph.D. computer science admission requirements at Uppsala University – Sweden are as follows
     •  A Bachelor-s degree in computer science, engineering, or a relevant field, or equivalent academic qualifications
     •  A test score of TOEFL or IELTS as English language proficiency for non-native English-speaking applicants
     •  A copy of your passport
     •  Official transcripts
     •  Proof of English proficiency

    List of PhD Supervisors:
      Ph.D Supervisors in Uppsala University