Stellenticket Humboldt-Universität zu Berlin

The Pro­ject

For the BMBF fun­ded pro­ject MODUS-COVID, we are seek­ing a new mem­ber for our research team to develop and imple­ment meth­ods for mod­el­ling and sim­u­lat­ing infec­tion dynam­ics and for ana­lyz­ing the rel­ev­ant data.

The goal of the MODUS-COVID pro­ject is to invest­ig­ate the effects of non-phar­ma­ceut­ical inter­ven­tions (NPIs) on the infec­tion dynam­ics of SARS-CoV-2. The pro­ject also aims to improve the under­stand­ing of infec­tion chains and the dynam­ics of spread within urban areas as well as in a regional and nation­wide con­text. The pro­ject is con­duc­ted in col­lab­or­a­tion with TU Ber­lin (Prof. Kai Nagel).

Work­ing towards a PhD within this pro­ject is pos­sible.

Your Pro­file

• an above aver­age Mas­ter’s degree in Math­em­at­ics (or related fields),
• sig­ni­fic­ant exper­i­ence in math­em­at­ical mod­el­ling in the area of spread­ing dynam­ics, pro­gram­ming
• skills in C/C++, Java or Python and hands-on exper­i­ence in real-world data ana­lysis; exper­i­ence in Agent-based mod­el­ling and machine learn­ing is a plus,
• excel­lent com­mu­nic­a­tions skills (writ­ing, speak­ing) and work­ing pro­fi­ciency in Eng­lish,
• strong team player with affin­ity for research and a focus to see things work­ing in prac­tice; meth­od­ical and con­cep­tual strength and cre­ativ­ity.

Your Tasks

• con­tri­bu­tion to the pro­ject and close cooper­a­tion with other pro­ject part­ners,
• ana­lysis and integ­ra­tion of sev­eral data sources to adapt the mod­el­ling to actual observed data,
• devel­op­ment of new meth­ods for mod­el­ling and sim­u­la­tion of infec­tion dynam­ics,
• imple­ment­a­tion of the algorithms,
• visu­al­iz­a­tion and val­id­a­tion of the res­ults.

We offer

• com­pre­hens­ive train­ing in a com­pet­ent and cooper­at­ive team,
• an addi­tional pen­sion scheme (VBL),
• 30 days annual leave, flex­ible work­ing hours (flexi­time),
• a salary in accord­ance with TV-L (Col­lect­ive Agree­ment for the Pub­lic Ser­vice of the Fed­eral States), tak­ing into account the rel­ev­ant pro­fes­sional exper­i­ence,
• an end-of-year bonus,
• dis­coun­ted BVG (pub­lic trans­port) ticket as part of the cap­ital city allow­ance,
• and the use of canteens and sports pro­grams of the Freie Uni­versität Ber­lin at reduced rates.

Addi­tion­ally we offer a fam­ily-friendly work­ing envir­on­ment through flex­ible work­ing and meet­ing times, excel­lent equip­ment and a chal­len­ging pro­fes­sional envir­on­ment.

Female applic­ants are highly encour­aged to apply. Since women are under­rep­res­en­ted in inform­a­tion tech­no­logy, the ZIB is try­ing to increase the pro­por­tion of women in this research area.

Dis­abled per­sons are given pref­er­ence in the event of equal suit­ab­il­ity.

Please send your applic­a­tion, quot­ing the ref­er­ence code WA 29/22, includ­ing a cover let­ter con­tain­ing a state­ment of your research interests, your CV and the stand­ard sup­port­ing doc­u­ments, by 15 August 2022 (date of receipt) as one PDF file to job­szib.de

Our private policy state­ment regard­ing applic­a­tion data is avail­able at www.zib.de/impressum.

For fur­ther inform­a­tion on the area of respons­ib­il­ity, please con­tact Dr. Nataša Con­rad (natasa.conrad@zib.de).