Blätter-Navigation

Of­f­re 50 sur 154 du 05/09/2019, 13:26

logo

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

The Leib­niz Insti­tute for Agri­cul­tu­ral Engi­nee­ring and Bio­eco­nomy (ATB) as natio­nally and inter­na­tio­nally acting insti­tute is rese­ar­ching at the inter­face of bio­lo­gi­cal and tech­ni­cal sys­tems. Our rese­arch is aimed at sustainable inten­si­fi­ca­tion. We ana­lyze, model and eva­luate bio-eco­no­mic pro­duc­tion sys­tems. We deve­lop and inte­grate new tech­no­lo­gies and manage­ment stra­te­gies for a know­ledge-based, site-spe­ci­fic pro­duc­tion of bio­mass, and its use for food, as raw mate­ri­als and fuels - from basic rese­arch to app­li­ca­tion. Thus we are con­tri­bu­ting to food secu­rity, ani­mal wel­fare, the holistic use of bio­mass, and to pro­tect the cli­mate and envi­ron­ment.

Sci­en­tist in Machine Lear­ning / Deep Lear­ning. (m/f/d) (65 %)

The com­pu­ter sci­ence junior rese­arch group „Data Sci­ence in Agri­cul­ture“ at the ATB stu­dies intel­li­gent data ana­ly­sis and machine lear­ning methods and their app­li­ca­tion to rese­arch ques­ti­ons in agri­cul­tu­ral tech­no­logy and bio­eco­nomy.

Auf­ga­ben­be­sch­rei­bung:

Your respon­si­bi­li­ties
  • Deve­lop­ment of novel machine lear­ning methods, espe­ci­ally in the area of deep lear­ning
  • App­li­ca­tion of exis­ting state-of-the-art machine lear­ning methods to pro­blems in agri­cul­tu­ral tech­no­logy and bio­eco­nomy rese­arch
  • Publi­ca­tion of rese­arch results in high-ran­king com­pu­ter sci­ence con­fe­ren­ces as well as joint publi­ca­ti­ons with rese­ar­chers from other fields stu­died at ATB in lea­ding jour­nals from agri­cul­tu­ral tech­no­logy and bio­eco­nomy

Er­war­te­te Qua­li­fi­ka­tio­nen:

Your qua­li­fi­ca­ti­ons
  • Mas­ter’s degree with excel­lent gra­des in com­pu­ter sci­ence or a rela­ted field such as mathe­ma­tics or phy­sics, as well as demons­tra­ble inte­rest in and know­ledge about machine lear­ning methods
  • Abi­lity to work inde­pendently on chal­len­ging rese­arch ques­ti­ons
  • Pro­gramming expe­ri­ence, ide­ally in Python or Mat­lab
  • Inte­rest in inter­di­sci­pli­nary rese­arch
  • Very good writ­ten and spo­ken Eng­lish skills

Un­ser An­ge­bot:

We offer
  • oppor­tu­nity to pur­sue a doc­to­rate
  • an attrac­tive, sci­en­ti­fi­cally excel­lent, and inter­di­sci­pli­nary working envi­ron­ment
  • very good oppor­tu­nities to fur­ther deve­lop your sci­en­ti­fic career
  • family-fri­endly working con­di­ti­ons that fos­ter the com­pa­ti­bi­lity of work and family life

Hin­wei­se zur Be­wer­bung:

The salary is defi­ned accord­ing to the Ger­man public ser­vice scheme E13 TV-L (65%). This part-time-posi­tion is limi­ted to three years. For fur­ther infor­ma­tion please con­tact Dr. Niels Land­wehr (nlandwehr@atb-potsdam.de) and visit our web­site www.atb-potsdam.de.
If you would like to par­ti­ci­pate in our inter­di­sci­pli­nary rese­arch, please send your com­plete app­li­ca­tion, inclu­ding cur­ri­cu­lum vitae, grade tran­scripts, pos­si­bly rele­vant publi­ca­ti­ons, and copies of cer­ti­fi­ca­tes by email in one pdf docu­ment to karriere@atb-potsdam.de quo­ting the refe­rence num­ber 2019-DS-1.

Equa­lity of oppor­tu­nity is part of our per­son­nel policy. Dis­ab­led app­li­cants with ade­quate qua­li­fi­ca­tion will be pre­fe­ren­ti­ally con­si­de­red.
With your app­li­ca­tion for employ­ment you declare your agree­ment to store your app­li­ca­tion docu­ments for at least three mon­ths even in case of an unsuc­cess­ful can­di­dacy.

Published on 16 August 2019