PhD Track

Biomedical Engineering


The IP Paris Biomedical Engineering (BME) program provides students with state-of-the-art research-intensive training in the application of the physical and engineering sciences to medicine and health. Applicants are expected to have strong backgrounds in engineering, physical sciences, or applied mathematics and a true desire to contribute to the upcoming revolutionary changes in medicine. The BME program is an integrated 5-year Master’s/Ph.D. program that provides students with a highly interdisciplinary curriculum focused on four specific BME tracks: Imaging and Image-Based Modeling, Biophysics and Biomechanics, Sensors and Devices, and Biomaterials. The goal of the program is to train future engineers, researchers, and entrepreneurs who will develop innovative solutions to tomorrow’s challenges in healthcare.

Program Structure

Training Requirements

  • Year 1 consists of a core curriculum that all students are expected to take.
  • Students take a total of 10 courses during the Fall and Winter quarters (5 courses/quarter corresponding to 20 hours/week). Each course will correspond to 3 ECTS. The course breakdown is shown in the table below.
  • Students will enroll in 3 laboratory rotations in the Spring quarter. Each lab rotation will correspond to one month.
  • Students will also conduct a year-long design project conducted in groups of 4 to 5 students. The design project will correspond to 3 ECTS.


  • Introduction to Imaging & Image-Based Modeling
    Instructor: Track Faculty
  • Introduction to Biophysics and Biomechanics
    Instructor: Track Faculty
  • Introduction to Biomaterials
    Instructor: Track Faculty
  • Introduction to Sensors and Devices
    Instructor: Track Faculty
  • Cell Biology and Physiology for Engineers
    Instructor: B. Schneider
  • Mathematical Modeling of Biological Systems
    Instructor: Inria
  • Statistics and Data Analysis
    Instructor: Applied Math
  • Ethics and Social Responsibility in BME
    Instructor: External
  • 2 additional courses (prerequisites if required by Year 2 track; free technical electives otherwise)
    Track Faculty

Training requirements

  • Year 2 will consist of specialized course training during the Fall and Winter quarters followed by a 6-month research internship during Spring and Summer quarters.
  • 4 tracks of specialization are offered as follows:
  • Imaging and Image Based Modeling Track
  • Biophysics and Biomechanics Track
  • Sensors and Devices Track
  • Biomaterials Track
  • During the Fall and Winter quarters, students will take a total of 10 courses (5 courses in each quarter).
  • The 10 courses will be broken down as follows: 6 courses in a track of primary interest (the Major), 3 courses in a track of secondary interest (the Minor), 2 technical electives, and 2 free electives.
  • The details of the track courses are provided in the following table:



Imaging & Image-Based Modeling Track

  • Biophotonics (Instructor: C. Bouzigues)
  • Signal Processing and Medical Imaging Analysis (Instratuctor: I. Bloch)
  • Machine Learning for Biomedical Imaging (Instructor: Track Faculty)
  • Biomedical Imaging (Instractor: Track Faculty)
  • Advanced microscopy Physics and Techniques (Instructor: Track Faculty)
  • Sensors and Transducers: from Macro to Nano (Instructor: PHY564D)


Biophysics and Biomechanics Track                        

  • Biomechanics of Living Tissues (Instructor D. Chapelle & P. Moireau)
  • Biofluid Mechanics and Mass Transport (Instructor: A. Barakat)
  • Cellular and Subcellular Mechanics (Instructor: J. Husson)
  • Statistical Mechanics: Application to Cell Motility (Instructor: J.M. Allain & M. Caruel)
  • Biomechanics in Health and Disease (Instructor: A. Barakat)
  • Microfluidics and Biosystems (Instructor: G. Amselem)

Sensors and Devices Track                                        

  • Design of Digital and Analog Integrated Circuits (Instructor: PHY559A)
  • Signal Processing (Instructor: MAP555)
  • Sensors and Transducers: from Macro to Nano (Instructor: PHY564D)
  • Machine Learning for Biosensors (Instructor: Track Faculty)
  • Microfluidics and Biosystems (Instructor: G. Amselem)
  • Biofunctionalization and Biodetection (instructor. Gouget & A. Alexandrou)

Biomaterials Track

  • Introduction to Biomaterials (Instructor: Track Faculty)
  • Smart Materials and Structures: Principles and Applications (Instructor: Y. He)
  • Materials Modeling. From Atomistic to Macroscopic(Instructor: M. Plapp)
  • Metamaterials (Instructor: K. Pham & A. Maurel)
  • Mechanics of Brittle Fracture and Damage (Instructor: K. Pham & K. Danas)
  • Modeling of Heterogeneous Materials and Structures. Application to Composites (Instructor: M. Bornert)



Application guidelines for a PhD Track at IP Paris

Academic prerequisites

Licence/BSc (or equivalent diploma) with highest honors.

Students may also have the possibility to start the PhD Program in the second year of the MSc (4-year PhD program).

Language prerequisites


Application timeline

The deadline for PhD Track application is February 28, 2020
Eligible applicants on the basis of the provided documentation will be contacted for an interview from the 15th of March onwards.

You shall receive an answer 2 months after the application deadline of the session.

Tuition Fees

Annual tuition fees for year 1 and 2 (MSc): for PhD track students IP Paris has decided to subsidize the tuition fees for Years 1 and 2 bringing them down from 6250 Euros (non EU students) / 4250 Euros (EU students) to the level of the official tuition fees of the Ministry of Higher Education, Research and innovation for EU students (243 Euros in 2019-2020) 
Annual tuition fees for year 3 to 5 (PhD): Official tuition fees of the Ministry of Higher Education, Research and innovation ( EU and non EU students pay the EU fees ; 380 euros in 2019-2020)
An annual scholarship may be granted to the best applicants for the first 2 years (MSc). Modalities will be communicated by February 15th 2020.
Successful applicants will obtain a three-year PhD scholarship for year 3 to 5.


Academic Contact: Prof. Abdul Barakat

Administrative Contact: Dr. Silvia Corsini