Job description

A 1-year Researcher position is available in the Computational Oncology Group at the Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo (see waszaklab.org for further information). The desired starting date is 1 January 2023.

The project aims to derive biomarkers from digital tissue slides based on state-of-the-art deep learning approaches and to develop an automated pipeline for clinical-decision support. The selected candidate will analyse a large set of digital tissue slides from brain tumour patients and extract biological features using computer vision, deep learning, and software programming. The candidate will further develop a containerised digital pathology pipeline for clinical-decision support.

We seek a highly motivated individual with experience in computer vision (ie, image segmentation) and machine learning (eg, convolutional neural networks). The ideal candidate is collaborative, has strong programming skills (Python, C/C++, or Matlab), has experience in statistical modelling of high-dimensional and large datasets, and has a strong publication record. Experience with computer vision and deep learning software libraries is a requirement for this position (eg, fastai, PyTorch, TensorFlow). Experience in digital pathology, neuroscience, or cancer research is highly desirable. The position is open to applicants with a PhD in computer science, physics, statistics, or a related field.

Qualification requirements

• PhD in computer science, physics, statistics, or a related field
• proficient in programming with Python, C/C++, or Matlab
• proficient with deep learning and computer vision libraries (eg, fastai, PyTorch, TensorFlow)
• experience in computer vision and machine learning is required (eg, image segmentation, convolutional neural networks)
• experience in statistical modelling of high-dimensional data is required
• experience in high-performance computing is required
• experience in digital pathology, neuroscience, or cancer research is desirable
• experience in container workflow development is desirable (eg, Docker, Singularity)
• fluent oral and written communication skills in English

We offer

• a salary of NOK 544 400 – 636 700 per annum depending on qualifications in position as a Researcher (position code 1109)
• a professionally stimulating working environment
• attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities

How to apply

The application must include

• a cover letter with a statement of motivation, past achievements, and research interests
• a detailed CV with a list of publications
• a list of 2-3 references with name, e-mail, and phone number

Please note that all documents must be in English.

The application with attachments must be delivered in our electronic recruiting system.

Foreign applicants are advised to attach an explanation of their University's grading system.

Interviews with the best qualified candidates will be arranged. Applications will be considered on a rolling basis till a suitable candidate is found.

Formal regulations

Following the Freedom of Information Act (Offentleglova) § 25, Chapter 2, information about the applicant may be used in the public list of applicants even if the applicant opts out from the entry in the public application list.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.

The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.

Contact information

Inquiries about the position can be directed to Dr. Sebastian M. Waszak (waszak@ncmm.uio.no)

Please contact Nina Modahl (ninam@ncmm.uio.no) for questions relating to the administrative aspects of the application.

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