Research Software Developer/Scientist (applications open till 23.03.2022)
Work with us to build reusable, replicable and scalable neuroimaging data science and machine learning software. The job is with the Applied Machine Learning Group, INM-7, Institute of Neuroscience and Medicine, Research Center Jülich, Germany.
More details and online application here.
Postdoctoral position in machine learning at University Hospital Düsseldorf and the Institute of Neuroscience and Medicine, Research Center Jülich, Germany!
A postdoctoral position in machine learning for risk stratification and outcome prediction in cardiovascular diseases and critical care medicine is available with Prof. Dr. Simon Eickhoff and Prof. Dr. Dr. Christian Jung. The position will be initially for 2 years with a potential for extension up to 4 years.
The primary duties of the postdoctoral researcher will be to build models using large datasets of clinical data and biomarkers including blood-derived as well as imaging data together with continuous monitoring of vitals (ECG, blood-pressure) to understand and predict relationships between them and patient prognosis. This project provides a unique opportunity for health-related data science, machine learning, and advanced modeling applied to real-world data.
The postdoctoral researcher is expected to write manuscripts for publication in scientific outlets. As a postdoc, you will have the opportunity to develop and apply skills in cutting-edge machine learning and artificial intelligence methods to clinically relevant questions and assist in supervision of junior (MSc and PhD) researchers. You will work in a highly motivated interdisciplinary team and contribute towards the general aims of the institutes. We have access to state-of-the-art CPU and GPU clusters as well as HPC at the Jülich supercomputing center. Several learning opportunities are available to develop technical and conceptual skills together with flexible remote working arrangements.
Applications from candidates with a PhD in any related area (computer science, physics, biomedical engineering, bioinformatics, computational biology) are encouraged, especially from individuals who have intermediate-to-advanced level of demonstrable programming knowledge (especially Python, R or MATLAB). An interest in predictive modeling is a must and experience with machine learning will be counted as a plus. An ideal candidate will have used biological data (medical imaging, omics data etc.) in their previous projects. Good English communication and writing skills and a good team spirit are a must.
The position is available immediately and search will continue until a candidate has been selected. To apply, please send your CV (including a list of publications), a letter of motivation, and names of at-least two referees with the subject line “[postdoc application] MODS2022” to: Kaustubh Patil [email protected].
The institute aims to employ more women in this area and therefore particularly welcomes applications from women. We also welcome applications from disabled persons.
Postdoctoral position SPP2041 (application closed)
Postdoc position in machine learning for brain connectomics at the Institute of Neuroscience and Medicine, Research Center Jülich, Germany!
Expected start: June 2021 (with some flexibility)
A postdoctoral position in machine learning for brain connectomics is available at the Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7) with Prof. Dr. Simon Eickhoff and Dr. Kaustubh Patil within a project under the DFG-funded priority program SPP2041 "Computational Connectomics". The position will be for 2 years with a potential for extension.
The primary duties of the postdoctoral researcher will be to build predictive models using large neuroimaging datasets and write manuscripts for publication. As a postdoc, you will have the opportunity to develop and apply skills in cutting-edge machine learning and artificial intelligence methods (e.g., deep learning) and neuroscience to understand the typical and atypical brain ageing and assist in supervision of junior (MSc and PhD) researchers. You will work in a highly motivated inter-disciplinary team and contribute towards general aims of the institute. We have access to state-of-the-art CPU and GPU clusters at the Jülich supercomputing center.
You should have a PhD in one of the related fields. Applications from any related area (computer science, neuroscience, physics, bio-medical engineering) are encouraged, especially from individuals who have an interest in predictive modelling using neuroimaging data. The ideal candidate will have demonstrable expertise in machine learning/artificial intelligence and/or optimization methods as well as programming (especially Python, R and Matlab). A background in neuroscience and/or neuroimaging analysis is a plus. Good English communication and writing skills and a good team spirit are a must.
The position is available immediately and search will continue until a candidate has been selected. To apply, please send your CV (including a list of publications), a letter of motivation, and names of at-least two referees with the subject line “[postdoc application] SPP2041” to: [[email protected]](mailto:[email protected]?subject=[postdoc application]%20SPP2041).
The Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women. We also welcome applications from disabled persons.
Research Software Developer/Scientist (open)
☞ Do you like to build software, answer research questions and you are passionate about open-source?
We are looking for a Research Software Developer/Scientist (m/f/d)
- Role: design, develop and deploy high quality cross-cutting research software ecosystem with a particular focus on data handling and machine learning
- Starting: February 2021 (negotiable)
- Place: Forschungszentrum Jülich (FZJ) with offices available in Jülich and Düsseldorf
- Salary: According to the German public tariff (TVöD), E13 (master's/PhD) with step as per experience
Your responsibilities
- design, develop and deploy data management, analysis and machine learning tools as a software ecosystem in collaboration with experts
- distill information from research articles and turn it into software tools
- testing and documentation to make software reliable and reusable
- continued feature enhancement and improvement, e.g. visualization tools, parallelization on HPC, new machine learning algorithms
- interact with internal and external project partners/clients
- optionally publish and present your results at international conferences and workshops
Your profile
- master’s or PhD in computer science, physics, mathematics or equivalent (exceptional applicants with a bachelor's degree will be considered)
- demonstrable experience in software development using Python and associated modern development life cycle tools like versioning systems, testing and IDEs
- dedicated and passionate about open-source software development
- clean code principles, test driven development, continuous integration
- architecture know-how (design patterns, API design)
- knowledge in the areas of data management and machine learning/AI (data science)
- team player with excellent spoken and written command of the English language
- motivation to work in an interdisciplinary and international team
Plus points
- experience in handling of large data sets and especially neuroimaging data
- experience with machine/deep learning, statistics and data science (numpy, scipy, scikit-learn, PyTorch, TensorFlow etc.)
- experience with agile software development
- experience with additional programming languages like MATLAB and R
- experience in high performance, parallel, or distributed computing
- experience in an research/academic environment
- experience with visualization tools including interactive visualization
- experience with frontend development, web services and software frameworks
- good communication skills in German
We offer
- long-term career prospects in research working on exciting projects outside the standard publication-oriented channels
- excellent computing infrastructure with a dedicated cluster as well as the Jülich Supercomputing Center
- salary according to the German public tariff (TVöD) plus the usual social benefits for the public employment sector
- close collaboration with research, machine learning and programming experts
- flexibility to initiate and shape projects within the scope of our research
- exposure to the open-source community
- extensive options of learning and career development including expert seminars, leadership seminars, language courses
- flexible working hours and various models for work-life balance
Who we are
The Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7) is part of the Forschungszentrum Jülich (FZJ) in Jülich, Germany, which is one of the 19 national institutions of the Hermann von Helmholtz Association of German Research Centres e.V. (HGF). Around 5000 FZJ employees carry out basic and applied research. At the INM-7 some 100 scientists conduct research in brain organization and brain-behavior relationships using large datasets and machine learning tools in close cooperation with national and international research institutions, research-oriented clinics and public institutions. INM-7 is committed to open-source software development to improve scientific processes, replicability and reusability (see; julearn and DataLad). To extend our efforts in this direction, we are looking for a colleague to join us as a research software developer.
Interested?
Please apply here.
Forschungszentrum Jülich is an equal opportunities employer. Severely disabled persons and those equaling severely disabled persons who are equally suitable for the position will be considered preferentially within the framework of legal requirements. The position will remain open until filled.