Assistant Professor in Artificial Intelligence for Multi-Modal Pathology Data

3 Apr 2024
Job Information

Organisation/Company

Amsterdam UMC

Research Field

Medical sciences

Researcher Profile

Leading Researcher (R4)
Established Researcher (R3)

Country

Netherlands

Application Deadline

17 Apr 2024 - 21:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

36.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

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

No

Offer Description

With you, we aim to position Amsterdam UMC as a leading computational pathology center in Europe, for which we deem your skill and ambitions in artificial intelligence (AI) as indispensable. You will develop and apply AI methods to integrate morpho-molecular tissue characterization, including liquid biopsies, with advanced quantitative image-based analysis to tailor personalized treatment and diagnostics. Our pathology department is renowned for its deep learning-based image analysis research, leveraging international multicenter datasets and extensive clinical- and molecular imagery. Our commitment extends beyond research, with a focus on social outreach and valorization efforts.

To achieve our vision, we seek a highly motivated tenure-track assistant professor in AI to form the linking pin in our computational pathology core. Joining Amsterdam UMC, means contributing to innovative global advancements in AI-driven healthcare.

Requirements
Specific Requirements

We are seeking a highly ambitious researcher to set up their own research-line in health AI, holding a PhD in computer science, medical image analysis, biomedical engineering, applied mathematics, computational physics, or related fields. Experience in medical- or spatial molecular image analysis is preferred.

Specifically, we are looking for someone with:

• Affinity for biomedical data research, interested in developing models that facilitate the fusion of multiple modalities, including histopathology, various genomics, and spatial molecular imaging;
• Therefore, candidates should possess knowledge of state-of-the-art computational methods related to spatial data analysis, such as multimodal deep learning, self-supervised computer vision, multiple instance learning, panoptic segmentation, and geometric deep learning;
• Strong programming and AI software engineering skills are essential, preferably in medical image recognition and genomics, as well as extensive experience with high-performance computing (HPC) and optimization on multi-node CPU/GPU/TPU clusters required;
• Proficiency in state-of-the-art deep learning libraries in Python (e.g., PyTorch) is mandatory. Experience with MLOps and professional data organization is advantageous, as is experience with valorization.

Additionally, candidates should either hold University Teaching Qualification (UTQ) registration (Basis Kwalificatie Onderwijs in Dutch) or be willing to obtain it. Excellent communication skills and the ability to collaborate effectively with computational biologists and pathologists are essential attributes for this role.

Tenure-Track Criteria
This tenure-track faculty position entails an initial maximum 4-year contract, with the potential for a permanent full faculty position contingent upon tenure-track achievements evaluated based on the following criteria:

• Publications in medium- to high-impact journals;
• Establishing and fostering intra- and extramural collaborations;
• Acquisition capacities for external funding to support research endeavors, from organizations such as KWF, ERC, and/or NWO.

Additional Information
Benefits

Your start-up package entails state-of-the-art computing infrastructure (dedicated Nvidia H100 GPUs), financial and personnel support.

• A 4-year contract, with the potential for a permanent full faculty position.
• Salary scale 12: € 5.459 - € 6.989 with a 36 hour week (depending on qualifications and experience).
• Besides a good basic salary, you will also receive an 8.3% year-end bonus and 8% holiday allowance.
• Free and unlimited access to our online learning environment GoodHabitz.
• Pension accrual with BeFrank, a modern, understandable, and well-priced pension.
• Excellent accessibility by public transport and reimbursement of a large part of your transport costs. We also have a good bicycle scheme if you cycle,
• An active personnel association and the Young Amsterdam UMC association, both of which organize fun (sports) activities and events.

For more information about our employment conditions, please visit our website .

Additional comments

We will consider applications on an ongoing basis. If you are invited for an interview, the application dates are already known: The first round of interviews is scheduled for May 08. We ask you to take this into account in advance. The second round of interviews will follow in principle May 29.

If you have any questions about this position, please feel free to contact Prof. Dr. Bauke Ylstra via, 0031 204 442 495 or via [email protected] or Dr. Michiel Pegtel via, 0031 204 44 052 or via [email protected] .

For more information about the application procedure, please contact Chey Edwards, Recruitment Advisor, via 0031 6 214 87 245 or via [email protected] .

A reference check, screening and hiring test may be part of the procedure. Read here whether that applies to you. If you join us, we ask you for a VOG (Certificate of Good Conduct).

Internal candidates will be given priority over external candidates in case of equal suitability.

Acquisition in response to this vacancy is not appreciated.

Website for additional job details

https://www.academictransfer.com/339769/

Work Location(s)

Number of offers available

1

Company/Institute

Amsterdam UMC

Country

Netherlands

City

Amsterdam

Postal Code

1105AZ

Street

Meibergdreef 9

Geofield

Where to apply

Website

https://www.academictransfer.com/en/339769/assistant-professor-in-artificial-in…

Contact

City

Amsterdam Zuidoost

Website

https://www.amsterdamumc.org/

Street

Meibergdreef 9

Postal Code

1105 AZ

STATUS: EXPIRED