| Employment begins: | At the next possible date |
| Duration: | up to three years |
| Contact: | jobs.nano@tu-dresden.de |
We are looking for
The successful candidate will use modern approaches of computational materials science in combination with efficient methods for data analysis/machine learning to compute and predict properties of odor molecules and their interaction with sensor receptors.
The position will be embedded within the Chair of Materials Science and Nanotechnology and strongly interacting with its more than 30 members. The scientific activities of the Chair are concerned with the development of innovative strategies for novel materials on the nanoscale within materials modelling, device simulations and its experimental investigation. For more information about our activities, please visit https://nano.tu-dresden.de/. We are proudly part of TU Dresden, which is a top university in Germany and Europe and one of the eleven German universities that were identified as an ‘elite university’ in June 2012. As a modern full-status university with 17 faculties it offers a wide academic range making it one of a very few in Germany. TU Dresden is an equal employment opportunity and affirmative action employer
Your application should include: motivation letter, CV, copy of university degree and recommendation letters. We only accept complete documents as one single PDF document by e-mail to jobs.nano@tu-dresden.de with Subject: "Application Smellodi, your_surname". Expenses incurred in attending interviews cannot be reimbursed. Applications that contain other file formats (e.g. Word, Excel) will not be considered in the selection process. Informal inquiries can also be submitted to the same address. The data submitted by you in the course of the application procedure will be processed by the Technische University Dresden (TUD). TUD shall use the data for the purposes of the application procedure. No data shall be passed on to third parties.
| Employment begins: | At the next possible date |
| Duration: | up to three years |
| Contact: | jobs.nano@tu-dresden.de |
We are looking for
The successful candidate will use modern approaches of computational materials science in combination with efficient methods for data analysis/machine learning to compute and predict properties of odor molecules and their interaction with sensor receptors.
The position will be embedded within the Chair of Materials Science and Nanotechnology and strongly interacting with its more than 30 members. The scientific activities of the Chair are concerned with the development of innovative strategies for novel materials on the nanoscale within materials modelling, device simulations and its experimental investigation. For more information about our activities, please visit https://nano.tu-dresden.de/. We are proudly part of TU Dresden, which is a top university in Germany and Europe and one of the eleven German universities that were identified as an ‘elite university’ in June 2012. As a modern full-status university with 17 faculties it offers a wide academic range making it one of a very few in Germany. TU Dresden is an equal employment opportunity and affirmative action employer
Your application should include: motivation letter, CV, copy of university degree and recommendation letters. We only accept complete documents as one single PDF document by e-mail to jobs.nano@tu-dresden.de with Subject: "Application Smellodi, your_surname". Expenses incurred in attending interviews cannot be reimbursed. Applications that contain other file formats (e.g. Word, Excel) will not be considered in the selection process. Informal inquiries can also be submitted to the same address. The data submitted by you in the course of the application procedure will be processed by the Technische University Dresden (TUD). TUD shall use the data for the purposes of the application procedure. No data shall be passed on to third parties.
