Available Positions

Mahshid’s Lab (Bio-nano medical devices laboratory), in the Department of Bioengineering at McGill University, has open postdoctoral and Graduate positions available in the fields of nano/micro point-of-care and sample-to-answer platforms with applications in the detection and continuous monitoring of cancer-related, infectious, and metabolic biomarkers, antimicrobial resistance (AMR) testing, and drug screening (projects in collaboration with clinical partners and colleague researchers). Our interdisciplinary Lab combines expertise in nanomaterials-based biosensing, nano/ microfluidics, and molecular diagnostics with a strong focus on translational research.

We are seeking graduate students and postdoctoral researchers with the qualifications and skills below

  1. Have completed a PhD or master’s degree in physics, materials science and engineering, chemistry, or closely related fields.
  2. Have an in-depth understanding of the optical properties of advanced and hybrid nanomaterials and nanostructures, materials selection for biosensor applications.
  3. Hands-on skills in nanofabrication techniques based on e-beam patterning and nano-synthesis.
  4. Familiar with different biosensing approaches, including optical biosensors.
  5. Experienced with combining bioassays and advanced materials.
  6. A strong history of high-impact peer-reviewed publications in the relevant fields.
  7. Ability to work collaboratively with a diverse team.
  8. Ability to prepare proposals, presentations, and reports.
  1. Have completed a PhD or master’s degree in mechanical engineering or bioengineering, or closely related fields.
  2. An in-depth understanding of transport phenomena in micro/nano systems.
  3. Experienced in design and fabrication of multiplexed fluidic systems.
  4. Hands-on skills in additive manufacturing techniques (e.g., 3D printing) and 3D design.
  5. Familiar with automation and integration techniques.
  6. Experienced in hydrogel-based and plastic-based microfluidics.
  7. Familiar with biocompatible/wearable biomaterials.
  8. A strong history of high-impact peer-reviewed publications in the relevant fields.
  9. Ability to work collaboratively with a diverse team.
  10. Ability to prepare proposals, presentations, and reports.
  1. Have completed a PhD degree in electrical or computer engineering, data/computer science, bioengineering, or closely related fields.
  2. In-depth knowledge and experience with machine learning and deep learning algorithms and their application in healthcare.
  3. Experience with the applications of artificial intelligence in sensors and diagnostics.
  4. Experience with Python and other programming languages. 
  5. Detailed-oriented with Excellent organizational skills.
  6. Able to work independently and at the same time work closely with others.  
 

Importantly, we are looking for Postdocs who bring innovative ideas and are able to prepare articles with the potential of being published in high-impact journals (e.g., AbdElFatah, Tamer, et al., Nature Nanotechnology).

Start date: The positions are available immediately. 

Please send a CV, cover letter, and names of two referees to Prof. Sara Mahshid (sara.mahshid@mcgill.ca) and make sure you Cc our Lab Manager (arash.khorramijahromi@mcgill.ca) with the following subject: Position inquiry in Mahshid Lab. Applications will be reviewed and interviewed on a rolling basis. Dr. Mahshid will directly contact the references of shortlisted candidates to request reference letters. The position will remain open until filled. The contract’s initial term will be one year.

The salary will be commensurate with the experience

Our values

Members of the Mahshid group originate from various parts of the world, and we appreciate the diversity of backgrounds they bring. Our research team offers an exciting and diverse training experience for the future generation of scientists who aim to apply their knowledge to real-world problems.

useful links

​If interested, please send Prof. Mahshid an email (sara.mahshid(at)mcgill.ca) with your CV, academic transcripts, and a brief summary of your previous research experience and future research interests.