Several student assistantships available for projects related to COVID-19

The chair of EDOM is looking for

Several student assistantships available for projects related to COVID-19

Das Aufgabengebiet umfasst u. a.

I am looking for several student assistants at all levels – bachelors, masters, and doctorate – to work on several exciting projects related to COVID-19.

Students can be supported for up to a maximum of 19 hours/week; i.e., lower number of weekly working hours are also possible.

All projects are at the interface of public health planning, discrete optimization, and epidemiology and are funded by a grant I have from the European Open Science Cloud Secretariat titled “Optimal Spatiotemporal Antiviral Release under Uncertainty”.

If your other commitments do not allow you to receive funding but you are interested in collaborating for writing scientific articles together, please also send me an email.

All projects conclude on April 30, 2021 and are immediately available.

Future funding is expected to continue, but is not guaranteed at the moment.

No prior knowledge of biology or epidemiology is essential.

Instead the student is expected to read research articles,
gather data, code the models that we develop in a programming language of his/her choice, and analyze his/her results in a final report.

At all stages, the student would work closely and directly with the supervisor.

Professional group: Student Assistants (Bachelors, Masters, or Doctorate)

The field of activity includes:

1. Project 1 (ideally for a bachelors student)
We seek to collect and organize pandemic response plans from states of Germany, and other European countries.
Knowledge of German is required.

2. Project 2 (ideally for a masters/doctorate student)
We develop mathematical models to estimate the number of “worried-well” populations in a region; i.e., the population that is not medically sick but perceives itself to be. We have already developed some models, and build on those.

3. Project 3 (ideally for a masters/doctorate student)
We have a large scale mixed-integer program that we seek to solve using a Benders decomposition scheme. Both the math program and the data are already available. We seek to develop a code for the decomposition method and solve the problem for a variety of parameters.

Wünschenswerte Qualifikation

1. A lecture on Discrete Mathematics or Discrete Optimization

2. A working knowledge of at least one programming language (such as Python, R, C++, MATLAB, etc.)

3. Sufficient knowledge of English.


Depending on the student’s interest – these are not requirements - I offer several opportunities to further develop the student’s career:

1. develop the research into articles with the student as a co-author,

2. collaborate with one of the world’s leading group of scientists in the fight against COVID-19 (,

3. write a bachelor or master thesis on the same topic.



Several student assistantships available for projects related to COVID-19
Besetzung zum

Teilzeit / Vollzeit
up to 19
April 30, 2021
Reason for limitation
befristetes Forschungsvorhaben

Kontaktperson für weitere Informationen
Dr. Bismark Singh
Telefon: 09131 85-67186
Lehrstuhl für Angewandte Mathematik (Gemischt-ganzzahlige lineare und nichtlineare Optimierung)
Cauerstraße 11
91058 Erlangen Bayern

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