[Opt-Net] PhD position in mixed-integer and nonconvex optimization at Zuse Institute Berlin

[Ksenia Bestuzheva]

The mathematical optimization methods group at Zuse Institute Berlin is 
now inviting applications for PhD positions (pay grade E13 TV-L Berlin 
(100%)) for the initial period of 15 months with the option of 
extension, beginning at the earliest possible date.

Our group conducts research on the theory and practice of solving 
mixed-integer linear and nonlinear programming problems to provable 
global optimality. Our work is centered around integer and spatial 
branch-and-bound algorithms and their components such as relaxations, 
primal heuristics, presolving techniques and others. We integrate our 
methods into the open source constraint integer programming solver SCIP 
(https://www.scipopt.org/).

Potential project topics include but are not limited to: 1) 
structure-driven primal heuristics for (mixed-integer) nonlinear 
nonconvex programming problems, in particular heuristics guided by 
conditions for generalized convexity, and 2) linear programming with the 
emphasis on the efficient solving of LPs within branch-and-bound 
algorithms, with the possibility of expanding into studying the 
application of other relaxations to solving MI(N)LPs, and reoptimization 
for MI(N)LPs.

Applications should be submitted by email to jobs at zib.de. Further 
details about the position and the application process can be found 
here: https://www.zib.de/node/6021. The application deadline is December 
17th 2023.

Informal inquiries to Ksenia Bestuzheva (bestuzheva at zib.de) are welcome.