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Leib­niz-Zen­trum für Agrar­land­schafts­for­schung e.V. - HR

Die Mis­sion des Leib­niz-Zen­trums für Agrar­land­schafts­for­schung (ZALF) e. V. als natio­nal und inter­na­tio­nal agie­ren­des For­schungs­zen­trum ist es, an der öko­no­misch, öko­lo­gisch und sozial nach­hal­ti­gen Land­wirt­schaft der Zukunft zu for­schen – gemein­sam mit Akteu­ren aus der Wis­sen­schaft, Poli­tik und Pra­xis. Das ZALF ist Mit­glied der Leib­niz-Gemein­schaft und unter­hält neben dem Haupt­stand­ort in Mün­che­berg (ca. 35 Minu­ten mit der Regio­nal­bahn von Ber­lin-Lich­ten­berg) eine For­schungs­sta­tion mit wei­te­ren Stand­or­ten in Dede­low sowie Pau­li­nen­aue.

Post­doc­to­rial rese­ar­cher (f/m/d)

Working field:

  • Develop con­cep­tual approaches to quantify risk to crop­ping sys­tems
  • Explore hybrid data and pro­cess based model for­mu­la­tions to under­stand drivers of crop yields at regional scales
  • Sup­port improve­ments to pro­cess based crop­ping sys­tem mod­els to con­sider effects of excess rain­fall on crop growth and yield form­a­tion
  • Extend meth­od­o­lo­gies for and con­duct integ­rated risk and impact assess­ments
  • Aid in daily super­vi­sion of BSc, MSc and PhD stu­dents work­ing in Ger­many and West Africa
  • Pub­lish res­ults in peer-reviewed sci­entific journ­als

Requirements:

  • PhD in agro­nomy, agri­cul­tural eco­nom­ics, agri­cul­tural engin­eer­ing, math­em­at­ics, phys­ics or sim­ilar
  • Strong stat­ist­ical and quant­it­at­ive assess­ment skills
  • Com­puter pro­gram­ing or script­ing skills in (e.g., C++, java, python, R)
  • Famili­ar­ity with pro­cess based crop or eco­lo­gical sim­u­la­tion mod­els
  • Exper­i­ence in con­duct­ing cli­mate change impact assess­ments
  • Know­ledge of and interest in work­ing on crop­ping and farm­ing sys­tems in West Africa
  • Excel­lent com­mu­nic­a­tion skills in Eng­lish
  • Good team work skills with will­ing­ness to col­lab­or­ate across dis­cip­lines and open­ness to con­duct trans­dis­cip­lin­ary research

What we offer:

  • Oppor­tun­ity to develop sci­entific pro­file through par­ti­cip­a­tion in on-going research pro­jects in Ger­many and West Africa
  • Col­lab­or­a­tion with lead­ing inter­na­tional sci­ent­ists and net­works in crop­ping and eco-sys­tem ana­lysis
  • Inter­dis­cip­lin­ary work­ing envir­on­ment that encour­ages inde­pend­ence
  • Strong insti­tu­tional com­mit­ment to a good work-life bal­ance
  • Clas­si­fic­a­tion accord­ing to the col­lect­ive agree­ment of the fed­eral states (TV-L) up to EG 13 with a 100% weekly work­ing time (includ­ing spe­cial annual pay­ment)
  • A col­legial and open-minded work­ing atmo­sphere in a dynamic research insti­tu­tion

How to apply:

Please send your app­li­ca­tion with a cover let­ter, CV, copy of your MSc and PhD degrees and tran­scripts, and the names and con­tact infor­ma­tion for three refe­ren­ces, sta­ting the refe­rence num­ber 05-2022 by Febru­ary 9, 2022 to: Bewerbungen@zalf.de. This should be sent by e-mail as one PDF file, max. 5 MB. Note, no other file for­mat will be pro­ces­sed or con­si­de­red. Women are par­ti­cu­larly encou­ra­ged to apply. App­li­ca­ti­ons from severely dis­ab­led per­sons with equal qua­li­fi­ca­ti­ons are favo­red.

If you have any ques­ti­ons, please do not hesi­tate to con­tact Prof. Heidi Web­ber, webber@zalf.de.

For cost rea­sons, app­li­ca­tion docu­ments or exten­sive publi­ca­ti­ons can only be retur­ned if an ade­qua­tely stam­ped enve­lope is atta­ched.

If you apply, we collect and pro­cess your per­so­nal data in accordance with Arti­cles 5 and 6 of the EU GDPR only for the pro­ces­sing of your app­li­ca­tion and for pur­po­ses that result from pos­si­ble future employ­ment with the ZALF. Your data will be dele­ted after six mon­ths.

You can find fur­ther infor­ma­tion at: www.zalf.de/en/ueber_uns/Pages/Datenschutzerklaerung.aspx