PhD Position in Neuromorphic Brain-Computer Interface Design, Denmark

  •  PhD
  •  30-Sep-2025
  •   Denmark
  • $$  Monthly gross salary of 36,138 DKK (including pension); possibility of higher salary step depending on experience

The University of Southern Denmark is inviting applications for 3-year PhD positions at the SDU Center for Energy Informatics in Odense, Denmark. The positions focus on AI-driven decision support and digital solutions for sustainable energy and industrial systems.

To be eligible, applicants must hold a master’s degree (or equivalent to a Danish master’s) in fields such as industrial engineering, computer science, software engineering, energy systems, robotics, or related areas. They should have strong analytical and problem-solving skills, interest in AI, simulation, and optimization, good communication skills, and motivation to contribute to sustainable energy and industrial systems.

Syddansk Universitet Information

Syddansk Universitet Grants

PhD Position in Neuromorphic Brain-Computer Interface Design, Denmark Founded in 1966, Syddansk Universitet (University of Southern Denmark) is a non-profit public higher education institution located in the suburban setting of the large town of Odense (population range of 50,000-249,999 inhabitants), Region of Southern Denmark. This institution has also branch campuses in the following location(s): Esbjerg, Kolding, Slagelse, Sønderborg. Officially accredited and/or recognized by the Uddannelses- og Forskningsministeriet (Ministry of Higher Education and Science, Denmark), Syddansk Universitet (SDU) is a large (uniRank enrollment range: 10,000-14,999 students) coeducational higher education institution. Syddansk Universitet (SDU) offers courses and programs leading to officially recognized higher education degrees such as bachelor degrees, master degrees, doctorate degrees in several areas of study. See the uniRank degree levels and areas of study matrix below for further details. This 53 years old higher-education institution has a selective admission policy based on students' past academic record and grades. International students are welcome to apply for enrollment.

Eligibility Criteria

  • Eligible Countries: Open to applicants worldwide.

  • Acceptable Course or Subjects: The PhD positions will be awarded in AI-driven decision support, digital solutions, energy informatics, and related subjects within sustainable energy and industrial systems.

  • Admissible Criteria: To be eligible, applicants must:

    • Hold a master’s degree (equivalent to a Danish master’s degree) in industrial engineering, computer science, software engineering, energy systems, robotics, or a related discipline at the time of enrollment.

    • Demonstrate strong interest in AI, simulation, and optimization for energy and industrial applications.

    • Possess strong analytical, problem-solving, and communication skills.

    • Show motivation to contribute to real-world sustainable energy solutions.

Offered Benefits

  • A 3-year fully salaried PhD position with a monthly gross salary of 36,138 DKK including pension, with potential for higher placement depending on postgraduate experience.

  • Enrollment in a vibrant interdisciplinary research environment with access to cutting-edge facilities and real industrial data.

  • Strong opportunities for international collaboration with industry and academic partners.

  • Career development for both academic and industrial pathways.

Application Process

Applicants must submit the following documents in English and PDF format through the SDU online application system before September 30, 2025 (11:59 PM CET/CEST):

  • Motivated application (uploaded as “Cover Letter”)

  • Curriculum Vitae (uploaded as “Resume”)

  • Master’s and bachelor’s certificates and transcripts (with official English translations if applicable)

  • Completed TEK PhD application forms (5+3 program and GPA calculation form)

  • Grading scheme of awarding university (if non-Danish)

  • Thesis assessment (if applicable)

  • List of publications and up to 2 sample publications (if any)

  • References (optional, form available on faculty website)

  • Documentation of other relevant qualifications

All files must be unlocked PDFs, without CPR numbers, and meet SDU’s upload guidelines.

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