PhD student in biomedical engineering with a focus on deep learning for medical images

24 Jan 2025
Job Information

Organisation/Company

Linköping University

Research Field

Engineering » Biomedical engineering
Medical sciences » Medicine
Computer science » Programming

Researcher Profile

First Stage Researcher (R1)

Country

Sweden

Application Deadline

12 Feb 2025 - 22:00 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Other EU programme

Reference Number

853--1-26060

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

Your skills are needed - join the development

Your work assignments

You will work closely with orthopaedic surgeons on various projects aimed at developing analytical methods for orthopaedic radiographs. One area focuses on atypical femoral fractures, while another deals with the loosening of joint prostheses in the hip and knee. Both projects are based on the analysis of tens of thousands of radiographs (plain radiographs and CT scans), and our dataset is unique worldwide thanks to Sweden's registry databases. The images will be analysed on our powerful computers as well as on LiU's Berzelius computing cluster, which is equipped with hundreds of GPUs. You will become an expert in deep learning for image analysis, while also gaining in-depth knowledge of orthopaedics and the application of medical technology in healthcare.

As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.

Please find more about our research, collaborations and the resources the project has access to:

https://liu.se/en/news-item/ny-kunskap-om-ovanliga-benbrott

https://liu.se/en/research/prio

https://liu.se/en/research/center-for-medical-image-science-and-visualization-cmiv

https://www.nsc.liu.se/systems/berzelius/

Your qualifications

You have graduated at Master’s level in biomedical engineering, electrical engineering, machine learning, statistics, computer science, applied physics or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.

Specific eligibility for doctoral education in Biomedical Engineering Science is granted to those who have completed course requirements of at least 60 higher education credits at an advanced level in a field relevant to the doctoral subject. The applicant must also be able to demonstrate documented proficiency in English. 

You have knowledge and expertise in computer vision and/or medical image analysis, as well as deep learning frameworks such as Tensorflow, Keras and Pytorch. You have substantial expertise in programming, especially in Python and Matlab. You are independent, meticulous and work efficiently. Since this employment involves collaboration with orthopedic surgeons it is important that you can communicate well with all the involved researchers.

Proficiency in Swedish is considered advantageous.

Your workplace

You will work at the Division of biomedical engineering (IMT), which conducts research within many different projects connecting medicine and engineering. The available position is within a research group which develops methods for analysis of orthopedic images, and you will have access to excellent computational resources for deep learning. The research group has deep knowledge within orthopedics, medical images and deep learning.

We collaborate with healthcare clinics as well as industry engineers, who, together with our international colleagues and visiting students, contribute to a diverse and exciting environment. Our location at the Campus University Hospital at Linköping University creates a unique opportunity for research, collaboration, and development within the field.

The employment

When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University

The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.

Starting date by agreement. 

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression with a starting salary of 35,200 SEK (with annual review) and paid vacation of 28-35 days depending on age.

More information about the employment benefits at Linköping University is available here.

Union representatives

Information about union representatives, see Help for applicants .

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 2025-02-13 CET

Applications and documents received after the date above will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities .

We look forward to receiving your application!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Where to apply

Website

https://web103.reachmee.com/ext/I011/853/main?site=7&validator=d7a66c13be778ef9…

Requirements

Research Field

Medical sciences

Education Level

Master Degree or equivalent

Research Field

Biological sciences

Education Level

Master Degree or equivalent

Research Field

Computer science

Education Level

Master Degree or equivalent

Skills/Qualifications

You have knowledge and expertise in computer vision and/or medical image analysis, as well as deep learning frameworks such as Tensorflow, Keras and Pytorch. Substantial expertise in programming, especially in Python and Matlab. You are independent, meticulous and work efficiently.

Specific Requirements

Master’s level in biomedical engineering, electrical engineering, machine learning, statistics, computer science, applied physics or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in a field relevant to the doctoral subject. Computer vision and/or medical image analysis, Proficiency in English. Proficiency in Swedish is considered advantageous

Languages

SWEDISH

Level

Basic

Languages

ENGLISH

Level

Excellent

Research Field

Medical sciences » Medicine

Years of Research Experience

1 - 4

Research Field

Biological sciences » Biological engineering

Years of Research Experience

1 - 4

Research Field

Computer science » Programming

Years of Research Experience

1 - 4

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

Linköping University

Country

Sweden

City

Linköping

Postal Code

58183

Street

Linköpings universitet

Contact

City

Linköping

Street

Linköpings universitet

Postal Code

58183

E-Mail

Professor anders.eklund@liu.se

Phone

LInköpings universitet, Sweden

STATUS: EXPIRED

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