疾病预测相关建模方向，急招数学物理相关phd
10600
老师急招PHD, 人和团队超级nice, 很openminded, 比较希望找到有SINDy相关经验的学生，数学物理背景的比较受欢迎～
The Leibniz Institute of Photonic Technology (Leibniz-IPHT), Research Department Microscopy in the Group of Biomedical Imaging, is looking for a Research Assistant / PhD candidate (f/m/d)in part time (50% position). The position is limited to three years.
The Leibniz-IPHT is a university independent research institute with close connection to the Friedrich-Schiller- University Jena and member of the Leibniz association.
Your tasks: Pandemic Forecasting Based on Mathematical Models and Machine Learning
We aim to generate models capable of predicting the SARS/COV2 pandemic load based on parameters of mathematical models. The forecast includes the expected cases being sent to hospital and the need for intensive care units. We already have acquired a good data basis from the previous years to be used for training the models to be developed. We intend to use modern methods such as robust sparse model discovery (E-SINDy)“ to identify suitable models.
The implementation should be done in a modern performant computer language such as Julia, but Python or Matlab are alternative options. CUDA-based acceleration of calculations based on these models would be good.
Within the scope of this work it is possible to obtain a PhD at the Friedrich-Schiller-Universität Jena.
We expect:
A university degree in Physics, Engineering, Mathematics or Computer Science
Experience in Computer Science and Programming in one of Matlab / Python / Julia or a similar language
Experience and interest in mathematical models, mathematical modelling and model discovery
First steps in machine learning
We offer:
An open welcoming culture as well as a friendly and dedicated team committed to modern science and technology
An interdisciplinary research environment with the goal of translation and application-oriented research
Intensive supervision during doctoral studies and publications
The PhD promotion and further development of our employees
Salary:
Salary will be in accordance with the regulations of the TV-L.
We are a modern, internationally oriented research institute. The compatibility of work and family is one of our central concerns. We value diversity and therefore welcome all applications - regardless of gender, disability, nationality or ethnic and social background. If women are underrepresented in the area of the advertised position, they will be given preferential consideration if they are equally qualified.
For further information:
Prof. Dr. Rainer Heintzmann, Tel. 03641- 206 431, E-Mail: 1point3acres.com.
Application:
Please send your application electronically with Code 1084 as one pdf file via Email until July 22, 2022 (including your CV, contact information of two professional references, publication list and university interim and final certificates) ideally in PDF format to:
Leibniz-Institute of Photonic Technology Jena e. V. Human Resources
Albert-Einstein-Straße 9, 07745 Jena
E-Mail: 1point3acres.com
Code: 1084
Or simply apply via our job portal leibniz-ipht.de by clicking on the “apply”
button.
The Leibniz Institute of Photonic Technology (Leibniz-IPHT), Research Department Microscopy in the Group of Biomedical Imaging, is looking for a Research Assistant / PhD candidate (f/m/d)in part time (50% position). The position is limited to three years.
The Leibniz-IPHT is a university independent research institute with close connection to the Friedrich-Schiller- University Jena and member of the Leibniz association.
Your tasks: Pandemic Forecasting Based on Mathematical Models and Machine Learning
We aim to generate models capable of predicting the SARS/COV2 pandemic load based on parameters of mathematical models. The forecast includes the expected cases being sent to hospital and the need for intensive care units. We already have acquired a good data basis from the previous years to be used for training the models to be developed. We intend to use modern methods such as robust sparse model discovery (E-SINDy)“ to identify suitable models.
The implementation should be done in a modern performant computer language such as Julia, but Python or Matlab are alternative options. CUDA-based acceleration of calculations based on these models would be good.
Within the scope of this work it is possible to obtain a PhD at the Friedrich-Schiller-Universität Jena.
We expect:
A university degree in Physics, Engineering, Mathematics or Computer Science
Experience in Computer Science and Programming in one of Matlab / Python / Julia or a similar language
Experience and interest in mathematical models, mathematical modelling and model discovery
First steps in machine learning
We offer:
An open welcoming culture as well as a friendly and dedicated team committed to modern science and technology
An interdisciplinary research environment with the goal of translation and application-oriented research
Intensive supervision during doctoral studies and publications
The PhD promotion and further development of our employees
Salary:
Salary will be in accordance with the regulations of the TV-L.
We are a modern, internationally oriented research institute. The compatibility of work and family is one of our central concerns. We value diversity and therefore welcome all applications - regardless of gender, disability, nationality or ethnic and social background. If women are underrepresented in the area of the advertised position, they will be given preferential consideration if they are equally qualified.
For further information:
Prof. Dr. Rainer Heintzmann, Tel. 03641- 206 431, E-Mail: 1point3acres.com.
Application:
Please send your application electronically with Code 1084 as one pdf file via Email until July 22, 2022 (including your CV, contact information of two professional references, publication list and university interim and final certificates) ideally in PDF format to:
Leibniz-Institute of Photonic Technology Jena e. V. Human Resources
Albert-Einstein-Straße 9, 07745 Jena
E-Mail: 1point3acres.com
Code: 1084
Or simply apply via our job portal leibniz-ipht.de by clicking on the “apply”
button.
