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Freie Uni­ver­si­tät Ber­lin - Fach­be­reich Phy­sik - Insti­tut für Theo­re­ti­sche Phy­sik

Rese­arch assi­stant (post­doc) (m/f/d))

full-time job
limi­ted to 30.11.2021
Ent­gelt­gruppe 13 TV-L FU
Refe­rence code: Netz-ERC-NoMa­Memo-Post­doc (2)

Work­ing field:

  • Assi­s­tance rela­ted to the pro­ject "NoMa­Memo" in the frame of an ERC Advan­ced H2020 Grant named "Non-Mar­ko­vian Memory-based model­ling of near- and far-from-equi­li­brium dyna­mi­cal Sys­tems" of the European Union.

  • Per­forming force-field as well as ab ini­tio ato­mistic equi­li­brium and non-equi­li­brium simu­la­ti­ons of aque­ous and inter­fa­cial sys­tems, extrac­tion of local and non-local response func­tions and dis­tri­bu­ti­ons from simu­la­tion tra­jec­to­ries.

  • Estab­lish­ment of gene­ral rules for the model­ling of reac­tion kine­tics of che­mi­cal and com­plexa­tion reac­tion of char­ged and neu­tral mole­cu­les in aque­ous, inter­fa­cial and nano-con­fi­ned sys­tems.

Require­ments:

  • Ph.D. in Phys­ics, Chem­istry or related dis­cip­line.
Desir­able:

  • Work­ing exper­i­ence with force-field and ab ini­tio molecu­lar sim­u­la­tions.
  • Exper­i­ence with inter­fa­cial sys­tems and equi­lib­rium stat­ist­ical mech­an­ics
  • very good aca­demic per­form­ance, espe­cially in numer­ical sim­u­la­tion meth­ods, stat­ist­ical mech­an­ics
  • excel­lent oral and writ­ten Eng­lish skills.

How to ap­ply:

Applic­a­tions should be sent by e-mail, together with sig­ni­fic­ant doc­u­ments, indic­at­ing the ref­er­ence code, in PDF format (prefer­ably as one doc­u­ment) no later than April 27th, 2021
to Mr. Prof. Dr. Roland Netz: rnetz@physik.fu-berlin.de.
On the given occa­sion and for the dur­a­tion of the essen­tial on-site oper­a­tions by Freie Uni­versität Ber­lin, we kindly ask you to apply elec­tron­ic­ally by e-mail. The pro­cessing of a postal applic­a­tion can­not be guar­an­teed.

Freie Uni­versität Ber­lin
Fachbereich Physik
Insti­tut für The­or­et­ische Physik
Mr. Prof. Dr. Roland Netz
Arn­im­al­lee 14
14195 Ber­lin (Dah­lem)

With an elec­tronic applic­a­tion, you acknow­ledge that FU Ber­lin saves and pro­cesses your data. FU Ber­lin can­not guar­an­tee the secur­ity of your per­sonal data if you send your applic­a­tion over an unen­cryp­ted con­nec­tion.

Freie Uni­versität Ber­lin is an equal oppor­tun­ity employer.