An­ge­bot 193 von 433 vom 05.07.2019, 14:42


Max Planck Insti­tute for Infec­tion Bio­logy

The Insti­tute employs multi-dis­cip­lin­ary approaches to infec­tion bio­logy, com­pris­ing con­cepts and meth­od­o­lo­gies of molecu­lar genet­ics, immun­o­logy, cell bio­logy, epi­demi­ology, clin­ical research and pro­tein chem­istry. The Insti­tute pro­motes the applic­a­tions of its research towards pav­ing the way for the design of rational meas­ures of con­trol of infec­tious dis­eases.

Stu­dent researcher pos­i­tion for phys­ics, bio­phys­ics and com­pu­ta­tional sci­ent­ists

Work­ing field:

Pro­ject Descrip­tion:

The Taylor lab is look­ing for an enthu­si­astic and motiv­ated under­gradu­ate stu­dent to join our research group at the Max Planck Insti­tute for Infec­tion Bio­logy loc­ated at the Char­ite Cam­pus Mitte. This pos­i­tion is for a paid stu­dent researcher pos­i­tion in the lab. We are inter­ested in stu­dents with a phys­ics or engin­eer­ing back­ground that are motiv­ated to apply their skill set to answer bio­lo­gical ques­tions.

We cur­rently have pro­jects that are examin­ing the molecu­lar dynam­ics of immune sig­nal­ing path­ways using syn­thetic T cell recept­ors (see ref­er­ence1), as well as pro­jects explor­ing the pro­tein dynam­ics of innate immune sig­nal­ing. Stu­dents will apply their com­pu­ta­tional skills to develop tools to ana­lyze micro­scopy data. Stu­dents in the lab will receive train­ing in single-molecule ima­ging, and cel­lu­lar engin­eer­ing approaches developed in the lab1.


The suc­cess­ful can­did­ate will have strong com­pu­ta­tional and data ana­lysis skills. The can­did­ate should be com­pet­ent in MAT­LAB and Python pro­gram­ming. A back­ground in image ana­lysis and sig­nal pro­cessing will also be valu­able for this pos­i­tion. Any exper­i­ence with bio­phys­ics, bio­chem­istry or cell bio­logy is advant­age­ous, but not neces­sary. The main require­ment is enthu­si­asm to learn and apply them­selves to solve bio­lo­gical ques­tions.

What we of­fer:

The Taylor labor­at­ory is inter­ested in how immune cells decode chem­ical inform­a­tion. We aim to under­stand how immun­o­lo­gical sig­nal­ing molecules self-organ­ize to detect and respond to the molecu­lar sig­nals of dis­ease and infec­tion. We have developed assays and approaches that allow us to visu­al­ize the bio­chem­istry of immune sig­nal-ling at the single molecule level within live cells1. Our sci­entific vis­ion is to lever­age a detailed under­stand­ing of the molecu­lar mech­an­ism to be able to re-engin­eer and con-trol these sig­nal­ing sys­tems.


1. Taylor, M. J., Husain, K., Gart­ner, Z. J., Mayor, S. & Vale, R. D. A DNA-Based T Cell Receptor Reveals a Role for Receptor Clus­ter­ing in Lig­and Dis­crim­in­a­tion. Cell 169, 108–119.e20 (2017).

How to ap­ply:

Inter­ested in join­ing us?

To apply please email a com­plete CV to