Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 10 days ago

PhD candidate 'Development of an integrated system for breast cancer imaging | focus point X-ray'

Radboudumc

Where
Nijmegen
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPhD candidate 'Development of an integrated system for breast cancer imaging | focus point X-ray'Radboudumc · Nijmegen

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Radboudumc's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 10 days ago

The posting

Job description

Ultrasound and tomosynthesis are the most prevalent modalities used for breast imaging, and each has its specific advantages and disadvantages. Tomosynthesis uses x rays to create a pseudo-3D representation of the breast with high in-plane spatial resolution, but low out-of-plane (depth) resolution. Ultrasound uses sound waves to create a cross-sectional image of the tissue and has excellent depth resolution, but limited resolution in directions perpendicular to the transmitted ultrasound lines.

We plan to develop a joint system that will use the information from each modality to improve the image quality of the other, yielding not only a multi-modality imaging system, but a joint imaging system. The combination of tomosynthesis and ultrasound into a single joint imaging system will yield improved images from two independent and complementary sources, with inherent spatial correlation, allowing for improved lesion detection, even in dense breasts, and the direct multi-modal assessment of suspicious lesions. For this multi-disciplinary project, we will be working in collaboration with the Medical UltraSound Imaging Center (MUSIC) lab of our Department, who will be developing the ultrasound aspects of this system (see accompanying vacancy).

In this project you will focus on the x-ray related data preprocessing and on the joint reconstruction itself. You will validate these using both digital and physical phantoms, working towards first patient images at the end of the project. All of this will be in collaboration with a PhD student focusing on the ultrasound aspects of the project, and industry partners to facilitate the translation of these methods into clinical evaluation. Tasks will also include presenting at international scientific conferences and writing papers on the newly developed methods and study results.

PhD candidate 'Development of an integrated system for breast cancer imaging | focus point ultrasound'

Place of work

Nijmegen and the Radboudumc

Nijmegen is the oldest Dutch city with a rich history and one of the liveliest city centers in the Netherlands. Radboud University has over 17,000 students. Radboud University Medical Center is a leading academic center for medical science, education, and health care with over 10,000 staff and 3,000 students.

Department of Medical Imaging

The Department of Medical Imaging is one of the most active research departments of the Radboudumc. More than 100 researchers are continuously striving to optimize healthcare. Close cooperation between preclinical researchers, radiologists, and clinicians gives a fantastic opportunity to implement new imaging techniques in clinical practice, and you will be working directly in this field.

Advanced X-ray Tomographic Imaging laboratory

The AXTI laboratory works on the development, optimization, and clinical evaluation of new x-ray-based imaging methods. The lab focuses on the use of medical physics approaches to improve image acquisition, reconstruction, and processing methods, including artificial intelligence algorithms, and to evaluate the clinical performance of new technology in new clinical applications. The group counts on members with wide-ranging expertise in image processing, reconstruction, deep learning and other AI methods, and analysis, as well as radiation dosimetry, along with the design and performance of patient trials.

The laboratory works closely with radiologists and industry to develop new, clinically relevant, imaging methods and processes in x-ray-based imaging, especially in breast imaging and body CT, to have an impact in detection, diagnosis, and treatment of pathologies.

Profile

Requirements

  • You should be a creative and enthusiastic researcher with a MSc degree in physics, mathematics, computer science, engineering, medical physics, or similar.
  • Experience or interest in physics modeling, inverse problems, and/or image processing, and affinity with biomedical research.
  • Experience in programming in python, C/C++, Matlab, or similar.
  • Excellent communication skills in English, both written and spoken.

Good to know

  • The following should be included in your application: CV, letters of motivation, list of completed courses and grades, and reprints or, preferably, links to your thesis or any scientific publications or reports in English that you have written.
  • The first job interviews will take place on 2 November 2026. Please take this into account.
  • All additional information about the vacancy can be obtained from Dr. Ioannis Sechopoulos.
  • This position requires a Certificate of Conduct (VOG).

We are recruiting for this position ourselves. Unsolicited marketing is not appreciated, but do feel free to share the vacancy in your network!

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Radboudumc's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Radboudumc's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Radboudumc's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.