Institution and training host

University Hospital Zurich (USZ) — Clinic of Plastic Surgery and Hand Surgery

1 documented programme · Switzerland

An independent profile of the host as named in official training sources.

Host overview

Training at this institution

The directory documents 1 training route associated with University Hospital Zurich (USZ) — Clinic of Plastic Surgery and Hand Surgery. Compare each programme’s requirements and source evidence below.

Published locations
Zurich, Switzerland
Training pathways
Hybrid clinical and research
Named leadership
1 of 1 programme records
Official evidence
1 linked source

Published training focus

Faculty and programme leadership

At a glance

  • Clinical Fellowship in Robotic Lymphatic Microsurgery & Lymphatic Biology: hybrid clinical and research, 3 to 6 months (Track A clinical fellow 6 months; Track B observer 3 months). Programme listed — intake not confirmed. Track A: medical degree enabling clinical participation in Switzerland and MEBEKO recognition. Track B: relevant medical or scientific background and eligibility to join as an observer. Both tracks need English and an interest in lymphatic reconstruction and translational science.

Intake, fees and eligibility change between cycles. Confirm each point with the host using the official source listed for the programme before preparing an application.

Programmes and application details

Hybrid clinical and research

Clinical Fellowship in Robotic Lymphatic Microsurgery & Lymphatic Biology

A 3 to 6 month advanced fellowship in robotic-assisted microsurgery and supermicrosurgery for lymphatic reconstruction, combined with translational lymphatic research (about 60 per cent clinical and 40 per cent research). It runs as a supervised clinical track or an observership track and is unpaid.

Location
Zurich, Switzerland
Duration
3 to 6 months (Track A clinical fellow 6 months; Track B observer 3 months)
Clinical participation
Track A is supervised hands-on clinical practice for candidates who can legally treat patients in Switzerland; Track B is observer status with no medical practice
International applicants
Track A requires a medical degree allowing clinical participation in Switzerland and willingness to obtain MEBEKO diploma recognition before the start; Track B is for candidates without Swiss recognition
Funding
The fellowship is unpaid and the fellow organises and pays for accommodation in Zurich
Application timing
Applications are evaluated throughout the year

Programme listed — intake not confirmed
Start date listed as 1 June 2026 or by agreement

Eligibility, training and application

Eligibility

Track A: medical degree enabling clinical participation in Switzerland and MEBEKO recognition. Track B: relevant medical or scientific background and eligibility to join as an observer. Both tracks need English and an interest in lymphatic reconstruction and translational science.

Published training

  • Robotic microsurgery and supermicrosurgery training with dry- and wet-lab simulation
  • Outpatient clinics, perioperative care and operating theatre activity (extent depends on track)
  • Journal clubs, skills lab and teaching sessions
  • Assigned lymphatic research project with scientific mentorship
  • Completion requires a competency portfolio and a submitted manuscript or ethics-ready protocol

Application route

Apply through the USZ e-recruiting tool with a motivation letter, CV of up to three pages, publication list, copy of the medical diploma and specialist title or EBOPRAS certificate; a German language certificate is optional.

Published application documents

  • Motivation letter
  • CV (maximum three pages)
  • Publication list
  • Medical diploma
  • Specialisation title or EBOPRAS certificate
  • German language certificate (optional)

Published contact note: pch@usz.ch

Official institution page · Source reviewed 29 Oct 2026

Official sources and review dates

These sources document the listed training routes. Institutional rankings, bed counts, accreditation, full staff rosters and current vacancies are not inferred.

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