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Assistant/Associate Professor in Computer Vision and Deep Learning

4 728 - 7 297€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Netherlands
Релокация
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Assistant/Associate Professor in Computer Vision and Deep Learning (AI): Developing an internationally recognized research program in computer vision, deep learning, and modern AI with an accent on visual perception, foundation models, generative and multimodal AI, and 3D/4D vision. Focus on publishing high-quality research, securing external funding, teaching AI-related subjects, supervising researchers, and building academic, industrial, and societal collaborations.

Location: Delft, Netherlands; relocation to the Netherlands is supported. Flexible work schedules are available, with the option to work partly from home.

Salary: Assistant Professor €4,728–€7,297 gross per month; Associate Professor €6,512–€8,673 gross per month.

Company

hirify.global is an international university focused on engineering education, scientific research, artificial intelligence, digitalisation, sustainability, and societal impact.

What you will do

  • Develop an independent, internationally recognized research program in computer vision, deep learning, and modern AI.
  • Conduct research in areas including visual perception, foundation models, generative and multimodal AI, data-efficient learning, 3D/4D vision, and responsible computer vision.
  • Publish high-quality research and secure competitive external research funding.
  • Build collaborations with academic, industrial, and public-sector partners.
  • Teach deep learning, machine learning, artificial intelligence, and specialized computer vision courses.
  • Supervise PhD candidates, postdoctoral researchers, and MSc and BSc students while contributing to academic leadership and curriculum development.

Requirements

  • PhD in Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related discipline.
  • Research record appropriate to career stage and a clear future research vision in computer vision and deep learning.
  • Ability to teach deep learning, artificial intelligence, machine learning, and computer vision at university level.
  • Experience with, or strong potential for, acquiring competitive external research funding.
  • Experience supervising researchers and students, or clear potential to do so in an inclusive and supportive manner.
  • Strong English communication skills are required for teaching and international academic collaboration.

Nice to have

  • Established independent research profile, successful funding acquisition, academic leadership, and supervision experience for Associate Professor appointment.
  • Experience working across disciplines and with industrial or societal partners.
  • Teaching experience of fewer than five years may be supplemented by completing the University Teaching Qualification within three years.

Culture & Benefits

  • Open, international, interdisciplinary, and collaborative research environment with strong laboratory facilities.
  • Mentoring, leadership development, and opportunities to progress toward senior academic roles, including Full Professor.
  • Academic Career Track Development programme covering education, research, societal impact and innovation, and leadership.
  • Customisable compensation package, health insurance discounts, and monthly work costs contribution.
  • Flexible work schedules and partial home working.
  • Relocation guidance, housing and school support, settlement events, and a Dual Career Programme for accompanying partners.

Hiring process

  • Submit a motivation letter, CV, research statement, and teaching statement by 15 September 2026.
  • First-round interviews are expected on 28 September, 2 October, 9 October, or 16 October 2026.
  • Reference checks and a knowledge-security risk assessment are part of the selection procedure.

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