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Tech­ni­sche Uni­ver­sität Ber­lin - Fac­ulty II

Tech­nis­che Uni­ver­si­tät Ber­lin, Fak­ultät II - Math­em­atik und Natur­wis­sen­schaf­ten, Insti­tute of Math­em­at­ics invi­tes app­lic­a­tions for a

Junior Pro­fess­or­ship - salary grade W1

for the field of "Data Assim­il­a­tion in Neur­os­cience".

The junior pro­fess­or­ship is to be fun­ded in the con­text of the Ein­stein Cen­ter Digi­tal Future. The pro­fess­or­ship is offe­red under the reserve that funds are gran­ted.

Work­ing field:

The pos­i­tion requi­res rese­arch and teach­ing and an inter­na­tion­ally vis­ible pro­file in the area of Sto­cha­s­tics.
The rese­arch focus of the pos­i­tion is expec­ted to be in the area of Data Assim­il­a­tion in Neur­os­cience. Fur­ther­more, co-oper­a­tions with the cur­rent pro­fess­ors at the Insti­tute of Math­em­at­ics and with the Bern­stein Cen­ter for Com­pu­ta­tio­nal Neur­os­cience Ber­lin as well as par­ti­cip­a­tion in exist­ing and future col­lab­or­at­ive rese­arch pro­jects of all math­em­at­ical insti­tutes in Ber­lin (in par­tic­u­lar Rese­arch Cen­ter MATH­EON, Ein­stein Cen­ter for Math­em­at­ics ECMath, Ber­lin Math­em­at­ical School) are expec­ted.
Teach­ing will be requi­red in all math­em­at­ical degree pro­grams and a mod­er­ate par­ti­cip­a­tion in the ser­vice teach­ing of math­em­at­ics for other pro­grams. Teach­ing require­ments shall be met in Ger­man and Eng­lish. Can­did­ates are expec­ted to super­vise stu­dent's the­ses as well as to par­ti­cip­ate in the aca­demic admin­is­tra­tion of the uni­ver­sity.

Require­ments:

Suc­cess­ful app­lic­ants must ful­fill the require­ments for appoint­ment at the pro­fes­sor level in com­pli­ance ith § 102a Ber­lHG (Ber­lin Hig­her Edu­ca­tion Act), includ­ing a com­ple­ted aca­demic edu­ca­tion in math­em­at­ics or a com­par­able sub­ject, qual­i­fied achieve­ments in rese­arch and a par­tic­u­lar qual­i­fic­a­tion for aca­demic work nor­mally attested by the excel­lent qual­ity of a PhD, and ped­ago­gical didac­tic qual­i­fic­a­tions, to be pro­ven by teach­ing exper­i­ence and visu­al­ized in a teach­ing port­fo­lio (for fur­ther inform­a­tion see TUB Web­site, quick as no. 144242).
Inter­na­tion­ally vis­ible rese­arch res­ults in the area of Sto­cha­s­tics have to be pro­ven through rel­ev­ant pub­lic­a­tions. Exper­i­ences in acquir­ing and car­ry­ing out pro­ject alli­ances invol­ving third-party fund­ing are desir­able. App­lic­ants must have teach­ing exper­i­ence at uni­ver­sity level in the field of math­em­at­ics and in par­tic­u­lar in the area of sto­cha­s­tics. Exper­i­ence in the aca­demic admin­is­tra­tion of the uni­ver­sity is appre­ci­ated.

How to ap­ply:

Tech­nis­che Uni­versität Ber­lin strives to increase the pro­por­tion of women in research and teach­ing and there­fore strongly encour­ages qual­i­fied female research­ers to apply. Qual­i­fied indi­vidu­als with dis­ab­il­it­ies will be favored.

Tech­nis­che Uni­versität Ber­lin is a cer­ti­fied fam­ily-friendly higher edu­ca­tion insti­tu­tion, and our Dual Career Ser­vice offers assist­ance to you and your fam­ily when relo­cat­ing to Ber­lin.

Please send your writ­ten applic­a­tion until 10/08/2017 with the ref­er­ence num­ber and the usual doc­u­ments to Tech­nis­che Uni­versität Ber­lin - Der Präsid­ent -, Fak­ultät II - Math­em­atik und Natur­wis­senschaften, Sekr. BEL 1, March­straße 6, 10587 Ber­lin. Please note that applic­a­tions via email can­not be con­sidered.

Please send cop­ies only. Ori­ginal doc­u­ments will not be returned.