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Leib­niz-Insti­tut für Agrar­tech­nik und Bio­öko­no­mie e.V. (ATB)

The Leib­niz Insti­tute for Agri­cul­tural Engin­eer­ing and Bioeconomy is a pion­eer and a driver of bioeconomy research. We cre­ate the sci­entific found­a­tion to trans­form agri­cul­tural, food, indus­trial and energy sys­tems into a com­pre­hens­ive bio-based cir­cu­lar eco­nomy. We develop and integ­rate tech­niques, pro­cesses and man­age­ment strategies, effect­ively con­ver­ging tech­no­lo­gies to intel­li­gently cross­link highly diverse bioeco­nomic pro­duc­tion sys­tems and to con­trol them in a know­ledge-based, adapt­ive and largely auto­mated man­ner. We con­duct research in dia­logue with soci­ety - know­ledge-motiv­ated and applic­a­tion-inspired.

Doc­toral Researcher (m/f/d) (65 %)

For the basic research pro­ject “Determ­in­a­tion of air exchange rates in nat­ur­ally vent­il­ated barns — Val­id­a­tion of pre­dic­tion Mod­els 2.0”, fun­ded by the Ger­man Research Found­a­tion, in the work­ing group “Barn cli­mate and emis­sion mod­el­ling”

Working field:

The barn cli­mate and emis­sions mod­el­ling work­ing group devel­ops, adapts and val­id­ates empir­ical and mech­an­istic mod­els for describ­ing and pre­dict­ing tem­per­at­ure dis­tri­bu­tion and air qual­ity in nat­ur­ally vent­il­ated barns and pol­lut­ant trans­port pro­cesses in con­nec­tion with live­stock farm­ing. The mod­els are fur­ther used to eval­u­ate options for adapt­ing barn sys­tems to cli­mate change and redu­cing emis­sions.
The math­em­at­ical mod­el­ling (i.e., com­pu­ta­tional fluid dynam­ics mod­el­ling, clus­ter­ing and regres­sion ana­lysis) in the pre­de­cessor pro­ject “BeLuVa” (https://www.atb-potsdam.de/en/research/research-projects/project/projekt/beluva) provided ini­tial insights into how bound­ary con­di­tions influ­ence the air exchange rate in indi­vidual animal accom­mod­a­tion areas and local con­cen­tra­tion ratios of tar­get and trace gases. Based on this, the basic under­stand­ing of the influ­ence of the wind dir­ec­tion shall be expan­ded and tip­ping points iden­ti­fied at which a change in the wind dir­ec­tion sig­ni­fic­antly changes the flow. Another goal is the refine­ment of the para­met­ric mod­els derived in BeLuVa for local air exchange and gas bal­an­cing accur­acy. Model res­ults are cross-val­id­ated with meas­ure­ments in a large bound­ary layer wind tun­nel and in the real barn.

Your respons­ib­il­it­ies
  • Inde­pend­ent exe­cu­tion of flow sim­u­la­tions with an exist­ing com­puter model
  • Ana­lysis of flow pat­terns with dif­fer­ent spa­tial veri­fic­a­tion tech­niques
  • Sup­port for the fur­ther devel­op­ment of the numer­ical flow model
  • Deriv­a­tion of a para­met­ric model for the air exchange rate from sim­u­la­tions
  • Ana­lysis of the sim­u­lated tracer dis­tri­bu­tion and deriv­a­tion of a para­met­ric model to estim­ate the achiev­able accur­acy of gas con­cen­tra­tion meas­ure­ments
  • Par­ti­cip­a­tion in the plan­ning of val­id­a­tion meas­ure­ments (wind tun­nel and on-farm)
  • Cre­ation of sci­entific pub­lic­a­tions in peer-reviewed journ­als

Requirements:

  • Suc­cess­fully com­pleted uni­versity degree (dip­loma / mas­ter exam­in­a­tion) in a sci­entific-tech­nical course in the field of engin­eer­ing, phys­ics, met­eor­o­logy or com­par­able
  • Very good know­ledge in data sci­ence / stat­ist­ics
  • Exper­i­ence in com­puter vis­ion, spa­tial veri­fic­a­tion and cluster ana­lysis desir­able
  • Very good pro­gram­ming skills (e.g., R or Python)
  • Very good know­ledge of fluid dynam­ics
  • Exper­i­ence in using com­mon CFD soft­ware desir­able (prefer­ably ANSYS FLU­ENT and Space­Claim);
  • Very good spoken and writ­ten Eng­lish skills
  • Inde­pend­ent work­ing style, per­sonal com­mit­ment, reli­ab­il­ity, enjoy­ment of basic sci­ence, solu­tion-ori­ented action, abil­ity to work in a team and will­ing­ness to cooper­ate
  • European driv­ing licence class B is desir­able

What we offer:

  • Doc­tor­ate within a struc­tured pro­gram and accom­pa­ny­ing train­ing courses
  • Oppor­tun­it­ies of par­ti­cip­at­ing inter­na­tional con­fer­ences to sup­port your sci­entific exchange
  • Attract­ive, inter­dis­cip­lin­ary work­ing envir­on­ment and very good con­di­tions for devel­op­ing your sci­entific career and net­work
  • The best pre­requis­ites for inde­pend­ent, inter­dis­cip­lin­ary research in an ambi­tious team and with mod­ern and excel­lent infra­struc­ture
  • Access to national and inter­na­tional net­works for your sci­entific devel­op­ment
  • Fam­ily-friendly work­ing con­di­tions that pro­mote the com­pat­ib­il­ity of work and fam­ily life
  • Com­pany-owned elec­tric bicycles for busi­ness trips
  • Par­ti­cip­a­tion on the VBB com­pany ticket

This part-time pos­i­tion (65 %) is lim­ited to 3 years. The salary is based on your qual­i­fic­a­tion and pro­fes­sional exper­i­ence accord­ing to TV-L up to salary group 13.

How to apply:

For fur­ther inform­a­tion, please con­tact Dr. Sab­rina Hempel (E-Mail: shempel@atb-potsdam.de) and visit our web­site www.atb-potsdam.de.

If you would like to con­trib­ute your pro­fes­sional com­pet­ence to our inter­dis­cip­lin­ary research, please apply by the fol­low­ing dead­line August 15th, 2022 using ATB’s online applic­a­tion form for the job advert­ise­ment, code 2022-5-8, at https://www.atb-potsdam.de/de/karriere/offene-stellen. Applic­a­tions received after the applic­a­tion dead­line can­not be con­sidered.

Equal­ity of oppor­tun­ity is part of our per­son­nel policy. Dis­abled applic­ants with adequate qual­i­fic­a­tion will be pref­er­en­tially con­sidered.

By sub­mit­ting an applic­a­tion, you agree that your job applic­a­tion doc­u­ments will be stored for a period of six months, even in the case of an unsuc­cess­ful applic­a­tion. Fur­ther inform­a­tion on the pro­cessing, stor­age and pro­tec­tion of your per­sonal data can be found at https://www.atb-potsdam.de/en/services/data-protection-declaration-for-the-application-process.