PhD student in area of machine learning for quality assessment (TV-L 13, full time)
for at least two years with a possible extension up to six years
at the DMIR Research Group, Computer Science Institut; Hubland Campus (South), Julius-Maximilians-University Würzburg, Germany.
The DMIR Research Group offers a PhD student position in the area of machine learning with close industry cooperation.
We are a highly interdisciplinary group of researchers led by Prof. Andreas Hotho, excited about novel methods in the areas of machine learning and data mining. We are developing methods that can improve the state of the art in multiple application domains ranging from natural language processing, digital humanities and fraud detection to environmental studies.
We are looking for a highly motivated candidate to join the DMIR Research group to develop and research novel methods in the area of machine learning with a close cooperation with local industry. The goal in this project is to automate some parts of quality assessment pipelines, as for example the detection of faulty parts from images using convolutional neural networks. In order to achieve this, you will develop new state of the art machine learning models, building on methodology such as deep learning, Bayesian modeling, and pattern mining. For more details, please do not hesitate to contact us!
For your research, you will have access to a large cluster currently consisting of about 30 GPUs in 7 larger and some smaller compute nodes (with about the same amount of additional resources currently being procured). This will enable you to quickly develop and test new models even with large amounts of training data.
For the position, we are looking forward to applicants with a master's degree of above average grades in computer science, mathematics, physics or related fields. The ideal candidate is
- highly motivated and
- passionate about machine learning, big data and data mining.
Further requirements are
- the drive to develop and apply novel methodology,
- the ability of approaching challenging situations,
- the interest in working in a multidisciplinary team environment,
- the willingness to learn from others,
- as well as problem solving skills and
- high creativity
Skills that may specifically qualify you are
- experience with machine learning and data mining,
- strong programming skills,
- skills in tensorflow or pytorch,
- and an affinity to Python ;)
The tasks connected with the position are the following:
- Perform fundamental and applied research in the area of ML
- Cooperate closely with industry partners
- Actively participate in the research activities of the "Data Mining and Information Retrieval" (DMIR) group
- Present research results at top international workshops and conferences, exhibits, and project meetings
- Co-author articles for publication in leading peer-reviewed journals and top conferences
- And most importantly: work towards your PhD thesis!
The position is a limited-term contract from the earliest possible date with salary based on TV-L.
The University aims to increase the proportion of female employees, therefore applications from qualified women are particularly welcome. Preference will be given to people with disabilities in the case of otherwise equal aptitude. The position can be filled part-time as well.
Please submit your application (letter of motivation and curriculum vitae) to Prof. Dr. Andreas Hotho (firstname.lastname@example.org) by the end of February 2019.
You are welcome to contact us on the same address for additional details.