Tenure-track Faculty Positions for All Ranks in Artificial Intelligence and AI-X İş Tanımı
Koç University was founded in 1993 by the Vehbi Koç Foundation with the vision of achieving excellence in education, pioneering scientific research, and contributing value to society. Ranked among the top 500 universities globally, our university is one of Turkey’s most prestigious institutions and aims to contribute to scientific, technological, and societal progress with its research-oriented structure. We offer an inspiring and dynamic living environment on our campus, creating a distinctive working atmosphere. At Koç University, our employees advance their careers in a dynamic and supportive work environment as part of a team of experts and innovators. Our workplace fosters continuous learning and offers opportunities for personal and professional development. With our vision and strong values, we invite you to join the Koç University family to achieve new milestones in your career. Koç University invites applications from ambitious, outstanding scientists with a proven track record of pioneering innovative inquiry in Artificial Intelligence for open-rank, tenure-track faculty positions (Assistant, Associate, or Full Professor). Driven by a strategic, university-wide initiative to build a transformative interdisciplinary AI community equipped to address the grand scientific, technological, and societal challenges of the future, this call intentionally transcends traditional departmental boundaries. An endowed professorship for a given duration is possible for this position. We encourage applications from candidates across core AI domains as well as cross-disciplinary frontiers: AI Foundations, Methods, and Systems: Machine learning and deep learning; learning theory and optimization; natural language processing; computer vision; multimodal and foundation models; generative AI; reinforcement learning; robotics, embodied and physical AI, and autonomous systems; trustworthy, safe, and explainable AI; human–AI interaction; and AI systems and high-performance computing. Cross-Disciplinary Frontiers (AI-X): Artificial Intelligence at the intersection of Medicine, Healthcare, and Nursing; Neuroscience and Cognitive Sciences; Natural Sciences, Materials, and Engineering; or Social Sciences, Business, Economics, Philosophy & Ethics, and Law. Successful candidates will hold primary academic appointments in an appropriate home department within our schools and colleges (e.g., Engineering, Sciences, Medicine, Social Sciences and Humanities, Law, or Nursing), with the possibility of joint affiliations structured to support their broader research portfolio. Qualifications & Responsibilities Candidates must hold a Ph.D. or equivalent doctoral degree in a relevant discipline, complemented by preferred postdoctoral or industrial R&D experience, and demonstrate strong research potential in Artificial Intelligence or its cross-disciplinary applications, with a record of scholarly achievement appropriate to their career stage. Candidates should exhibit intellectual independence, a clear capacity to develop an innovative research agenda, and a commitment to excellence in teaching. Successful candidates are expected to build and sustain an independent, externally funded research program, demonstrate a deep commitment to excellence in teaching and student mentoring across all levels, foster interdisciplinary collaborations across the university, and engage in institutional stewardship. Application Process Candidates should submit the following materials electronically to . Subject Line: Please use “ “ AI-X – Full Name ”: as the email subject line.
Cover Letter (highlighting interdisciplinary and collaborative vision) Curriculum Vitae (including a full publication list and external funding history) Research Statement (3–4 pages detailing past achievements and a 5-year strategic plan) Teaching Statement (1–2 pages) Contact details for 3 to 5 professional references Applications are now open and will be reviewed on a rolling basis, with initial review beginning on December 1, 2026 . Positions remain open until they are filled. Direct inquiries to the Office of the Vice President for Academic Affairs Learn more: https://www.ku.edu.tr/en/academic-jobs/ Koç University embraces the principle of equal opportunities. All candidates are evaluated without discrimination based on race, gender, national or social origin, religion, age, disability, sexual orientation, or marital status.
Tenure-track Faculty Positions for All Ranks in Artificial Intelligence and AI-X İlanındaki ATS Anahtar Kelimeleri
Bu ilanın metninde ATS beceri sözlüğümüzle eşleşen 5 anahtar kelime var. En sık geçenler: Computer vision (1 kez), Deep learning (1 kez), Generative AI (1 kez).
Veri, analitik ve yapay zekâ
- Machine learning · ilanda 1 kez · benzer ilanlarda %38
- Deep learning · ilanda 1 kez · benzer ilanlarda %18
- Natural language processing · ilanda 1 kez · benzer ilanlarda %7
- Computer vision · ilanda 1 kez · benzer ilanlarda %15
- Generative AI · ilanda 1 kez · benzer ilanlarda %30
CV'nde karşılığı: Machine learning, Deep learning ve Natural language processing ile yaptığın sorguyu, panoyu ya da raporu sonucuyla anlat.
Terimler ilan metninden kural tabanlı sözlükle çıkarıldı; sözlük dışı beceriler listelenmez.
Takibe ekle ve CV'ni bu ilana göre hazırlaBenzer İlanlarda Beceri ve Deneyim Dağılımı
Aynı başlıkta 10'dan az ilan olduğu için karşılaştırma "Yapay zekâ ve makine öğrenmesi" rol ailesindeki 368 ilanla (bu ilan dahil) yapıldı; bu ilanlar 17 Nisan ile 19 Ekim 2026 arasında yayımlandı.
| Anahtar kelime | İlan | Pay | Bu ilanda |
|---|---|---|---|
| PythonProgramlama dilleri, çatılar ve platformlar | 232 | %63 | Geçmiyor |
| LLMVeri, analitik ve yapay zekâ | 181 | %49 | Geçmiyor |
| Machine learningVeri, analitik ve yapay zekâ | 138 | %38 | Geçiyor |
| RAGVeri, analitik ve yapay zekâ | 128 | %35 | Geçmiyor |
| Generative AIVeri, analitik ve yapay zekâ | 109 | %30 | Geçiyor |
| CI/CDBulut, DevOps, altyapı ve güvenlik | 100 | %27 | Geçmiyor |
| AzureBulut, DevOps, altyapı ve güvenlik | 91 | %25 | Geçmiyor |
| PyTorchVeri, analitik ve yapay zekâ | 88 | %24 | Geçmiyor |
Aranan asgari deneyim
Deneyim yılı belirten 201 benzer ilanda ortanca beklenti 4 yıl.
| Asgari deneyim | İlan | Pay |
|---|---|---|
| 0-1 yıl | 16 | %8 |
| 2-3 yıl | 84 | %42 |
| 4-5 yıl | 72 | %36 |
| 6 yıl ve üzeri | 29 | %14 |
Benzer ilanların 153 tanesi (%42) İngilizce bilgisi istiyor.
Kaynak: cvanaliz'deki aktif ilanlar; bir terimin geçmesi zorunlu olduğu anlamına gelmez.
Koç Üniversitesi Hakkında
Koç Üniversitesi faaliyet gösteren bir işverendir. Şirketin diğer ilanlarını inceleyerek ekipler ve aranan yetkinlikler hakkında daha geniş bir görünüm elde edebilirsin.
Koç Üniversitesi iş ilanlarını görKoç Üniversitesi Tarafından Yayımlanan Diğer İlanlar
Bu işverenin cvanaliz'de listelenen 11 ilanı daha var.
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